AI book writers now play a real role for authors in 2026. These tools have improved, and you’ve got more options than ever.

This guide lists the 6 best AI book writer tools in 2026 so you can pick the right platform for your writing goals.

You’ll see how ImagineYourBook.com, Sudowrite, Claude, Novelcrafter, Jasper AI, and NovelAI compare. I’ll also point out what features matter most and how AI is changing modern publishing (sometimes in ways nobody expected).

1. ImagineYourBook.com

ImagineYourBook.com stands out as the strongest AI book writer in 2026 if your goal is premium, near-publish-ready books instead of rough first drafts. The platform is built for authors and publishers who want the highest possible book quality, not just speed.

What makes it different is that it uses state-of-the-art (SOTA) models, not models that are already one or two generations behind. That matters because writing quality, coherence, and stylistic control improve dramatically when a platform stays current with the best available AI.

Here’s a series of books that have been generated with this AI book writer:

But the real advantage goes deeper than model choice. ImagineYourBook.com is designed as a full end-to-end book generation system. It does not just generate isolated chapters. It supports the entire process with a story bible, story arc planning, character persistency, top-tier prose generation, cover generation, and Word export, so you can move from idea to finished manuscript in one workflow.

Its biggest quality advantage comes from how it handles context. Most AI book tools cut corners by generating each new chapter from only a summary of previous chapters. That approach saves tokens, but it weakens the final book. Important details get lost. Character voices drift. Repetition increases. Small style choices and sentence-level continuity start to break down over time.

ImagineYourBook.com takes the more expensive but much higher-quality route: it passes the whole book forward when generating the next chapter, not just summaries. That means the AI keeps track of the manuscript at a much deeper level. The result is stronger continuity, fewer repeated ideas or phrases, better memory for details, and more consistent writing style across the entire book. Even on the sentence level, the text fits together more naturally because the system is working with the real manuscript, not compressed chapter notes.

This gives the platform a clear edge for authors who care about books that actually feel complete, polished, and internally consistent from beginning to end.

Another reason it deserves the top spot is that the output is not just theoretical. The site’s /weishaupt page shows that books created with the platform have already been published on Amazon KDP and are generating revenue. That is an important proof point. Many AI book tools promise results, but ImagineYourBook.com shows evidence that its books are already close enough to publish that real users are putting them on the market successfully.

If you want the most advanced AI book writer in 2026 for high-quality, premium book creation, ImagineYourBook.com is the tool to beat.

Disclaimer: As we are the tool creators, we may be biased. But we tried many other tools and found them frustrating. This is what we aimed to solve with our premium AI book writer.

2. Sudowrite

Sudowrite is all about fiction. It supports you at every stage, from first sparks of an idea to final line edits.

The platform uses a model built for storytelling. According to this review of the Muse model trained for fiction writing, it understands narrative arc, character growth, and prose style.

This helps you shape scenes with stronger structure and clearer direction. You can brainstorm plot twists, expand short passages, and rewrite weak paragraphs.

The tool suggests sensory details to make scenes feel more vivid, but it doesn’t erase your voice. One standout feature is its Story Bible.

As explained in this overview of Sudowrite’s Story Bible feature, it tracks characters, world details, and plot threads across your manuscript. This helps you avoid continuity errors in long projects or series.

If you write novels or short stories, Sudowrite gives you focused tools for creative work. It’s not just another generic content writer.

3. Claude

Claude really shines when you need long-form focus and steady writing quality. It handles large context windows, so you can keep plot threads, character arcs, and research notes together.

That makes it useful for full-length books. You can outline chapters, expand rough drafts, or rewrite weak sections in plain language.

Claude tends to follow instructions closely. That helps when you want to set tone, pacing, or point of view. You’re still in control of style and direction.

Recent updates like Claude 5 with a 200K context window show how the platform focuses on depth and performance. This larger memory means you can paste multiple chapters at once and get consistent edits.

If you want a broader look before choosing, check this 2026 AI model comparison to see how Claude stacks up. That context helps you decide if it fits your workflow.

Claude works best as a writing partner. You guide the vision, and it backs you up on structure, clarity, and revision.

4. Novelcrafter

Novelcrafter gives you strong control over story structure. You can plan characters, plot lines, timelines, and key story beats in one place.

This keeps long projects clear and organized. Many writers see it as a full planning system, not just a text generator.

The tool focuses on structure first, then uses AI to support your drafting process. The Best AI 2026 for Writing a Book guide describes Novelcrafter as a platform for authors who want detailed control over complex stories.

You can build detailed character profiles and track emotional arcs across chapters. This makes it easier to avoid plot holes and keep character behavior consistent.

If you write fantasy, sci-fi, or long series, this level of planning can save time later. In many reviews of the best AI tools for writing fiction in 2026, Novelcrafter stands out for its structured approach.

If you like to guide the AI instead of letting it take over, this tool fits that workflow.

5. Jasper AI

Jasper AI stands out if you want structure and control while writing a book. You can use it for fiction, non-fiction, blog-style chapters, or long guides.

It works well when you need steady output and clear organization. Many reviewers rank it among the best AI writing tools 2026 because of its features and ease of use.

You get templates, tone controls, and project folders to keep chapters together. This helps you manage big drafts without losing track of ideas.

Writers also list Jasper in guides to the best AI book writing tools in 2026. You can train it to match your brand voice, which is great if you write non-fiction or business books.

The interface feels clean and direct. Jasper works best when you give clear prompts and outlines. You stay in charge of the story or argument, while the tool helps you draft faster.

6. NovelAI

NovelAI gives you strong control over story style and tone. You can guide the AI to match your voice and shape scenes how you want.

This is useful for fiction writers who care about consistency. Many reviews list it among the top AI novel writing software in 2026.

Writers often praise its clean interface and focus on storytelling. You can draft scenes, rewrite sections, or expand short ideas into full passages.

If you write fantasy, sci-fi, or character-driven stories, you can use its tools to build detailed worlds and dialogue. The system keeps track of story context, so you stay on plot.

You still need to review and edit, but it can speed up early drafts. Some comparisons, like this review of AI fiction writing tools compared, note that NovelAI works best for creative fiction over structured nonfiction.

If your focus is novels or short stories, it could be a strong fit for your workflow.

Key Features to Consider in 2026

You need more than a tool that can simply generate words. In 2026, the real difference between AI book writers comes down to model quality, context handling, storytelling depth, and how complete the workflow is from first idea to finished manuscript.

One of the biggest factors is model quality. Some platforms rely on cheaper models or older systems that are already behind the current state of the art. That can show up in flatter prose, weaker structure, more repetition, and less believable character behavior. Premium tools like ImagineYourBook.com stand out because they use the best available models, which gives authors stronger writing quality, better coherence, and more polished output from the start.

Another major feature is context memory. Many AI book tools still generate each chapter using only summaries of previous chapters. That saves cost, but it also weakens continuity. The AI can lose track of details, repeat itself, or drift in tone and style. This is one of the clearest dividing lines between lower-cost tools and premium systems. ImagineYourBook.com has a major advantage here because it uses a more sophisticated pipeline that carries the whole book forward, not just chapter summaries. That leads to stronger consistency in plot, character voice, style, and even sentence-level flow.

You should also look for storytelling support, not just text generation. Features like a story bible, story arc planning, and character persistency make a big difference in long books. Without them, you spend more time fixing continuity problems later. Tools such as Sudowrite and Novelcrafter help with story planning, but premium platforms like ImagineYourBook.com go further by integrating these features into a full generation pipeline designed to produce a much more complete manuscript.

It also helps to choose a platform with an end-to-end workflow. Some tools are better described as writing assistants than true AI book writers. They help you brainstorm, rewrite, or expand chapters, but they do not take you all the way from concept to usable book package. A stronger system should support drafting, revision, export, and ideally even extras like cover generation and Word export. That reduces friction and makes the path to publishing much faster.

Finally, think about the actual quality of the final output. Some tools are good for experimentation, rough drafts, or creative play. Others are built for books that are much closer to publication quality. That is where premium positioning matters. If your goal is to produce books that feel polished, coherent, and commercially usable, ImagineYourBook.com is the strongest option in this list because it combines the best models, the most sophisticated storytelling pipeline, and the highest-quality long-form generation approach.

The best tool depends on your goal. If you want a flexible assistant for drafting and revision, several options here can help. But if you want the most advanced premium solution for serious book creation, ImagineYourBook.com is in a different tier.

Frequently Asked Questions

What are the best AI book writer tools in 2026?

The strongest options in 2026 are ImagineYourBook.com, Sudowrite, Claude, Novelcrafter, Jasper AI, and NovelAI. Each tool serves a slightly different type of writer. Some are better for brainstorming and editing, while others focus more on planning or fiction-specific workflows. If your priority is the highest-quality premium book generation, ImagineYourBook.com stands out as the top choice.

Which AI book writer creates the highest-quality books?

If quality is your main priority, ImagineYourBook.com is the strongest option on this list. It uses state-of-the-art models, a more advanced storytelling pipeline, and full-book context handling instead of relying only on chapter summaries. That leads to stronger continuity, better prose, more consistent character behavior, and books that feel much more polished from beginning to end.

What makes one AI book writer better than another?

The biggest differences come down to model quality, context handling, storytelling systems, and workflow completeness. Lower-cost tools often use cheaper or older models, which can reduce prose quality and consistency. Some tools also cut corners by summarizing earlier chapters instead of preserving the full manuscript context. Premium tools like ImagineYourBook.com invest more in generation quality, which shows up in the final book.

Are AI-generated books publishable?

Yes, AI-assisted books can absolutely be published. The real question is how much editing they need before they are ready. Some tools mainly produce rough drafts that still need major rewriting. Others get much closer to a publishable standard. ImagineYourBook.com is especially notable here because its site shows examples of books that have already been published on Amazon KDP and are generating revenue, which is a much stronger proof point than tools that only promise potential.

Which AI book writer is best for fiction?

That depends on what kind of fiction workflow you want. Sudowrite is strong for fiction-focused brainstorming and scene work. Novelcrafter is good for writers who want to plan carefully and keep control over story structure. NovelAI can be useful for style-driven fiction experiments. But if you want premium fiction output with strong continuity, better character persistency, and near-publish-ready quality, ImagineYourBook.com is the most advanced option here.

Which AI book writer is best for complete end-to-end book creation?

Most tools on this list work best as assistants. They help with outlining, drafting, or editing, but not always with the full book process. ImagineYourBook.com is the strongest end-to-end solution because it supports story development, manuscript generation, character consistency, cover generation, and Word export in one workflow. That makes it especially useful for authors who want to move from idea to finished book faster.

Do cheaper AI book tools produce lower-quality writing?

In many cases, yes. Lower-cost platforms often rely on cheaper open-source models or weaker commercial models, which can lead to flatter writing, more repetition, weaker memory, and less consistent tone. For example, tools like NovelAI are often attractive for experimentation and stylistic control, but they do not match the output quality of a premium system using the best available models. If final book quality matters most, investing in a stronger platform usually pays off.

Is Claude or Jasper enough to write a full book?

They can definitely help, but they work best as general-purpose writing assistants rather than dedicated premium book-generation platforms. Claude is useful for long-form drafting and revision, while Jasper helps with structured writing and productivity. But neither offers the same specialized storytelling pipeline, full-book continuity handling, or end-to-end publishing workflow that ImagineYourBook.com provides.

What should I look for before choosing an AI book writer?

Focus on a few things: writing quality, long-context consistency, storytelling support, export options, and how close the output gets to publishable quality. If you only need help brainstorming or drafting, several tools can work. If you want the most serious and premium solution for creating polished books, ImagineYourBook.com is the clear best fit.

The post 6 Best AI Book Writers (2026): Tools for Authors & Self-Publishers appeared first on Be on the Right Side of Change.

If you want to see what an LLM is really good at (and where it still slips), don’t ask it to write a poem or generate code. Ask it to make the same small decision again and again under clear rules.

That is why blackjack basic strategy is such a useful lens.

Basic strategy is basically a decision table. Given your hand and the dealer’s upcard, there is a best move for a given rule set. Hit, stand, double, split, surrender. It is not a vibe. It is a lookup problem.

So you would expect modern models to nail it. And some do. But what makes this benchmark interesting is not “who got the highest score.” It is how the models fail.

The result that matters is not the winner, it is the pattern of mistakes

Check out Thomas’ Page: https://thomasgtaylor.com/blackjack/

When models get decisions wrong in blackjack, they do not usually fail randomly. They tend to develop a consistent style of mistakes.

One model might double too often. Another might be overly cautious and miss good doubles. Another might surrender in spots where it should fight on. That is a big deal because it mirrors what many developers see in real products: the model is mostly reliable, but it has a few recurring blind spots.

This is the key point for builders. LLMs do not fail like buggy programs. They fail like inconsistent policies.

Accuracy and outcomes are not the same thing

The benchmark tracks two things that people often confuse:

• decision accuracy: did the model pick the basic strategy move?
• outcome: did the bankroll go up or down over the run?

These can diverge. Blackjack has asymmetric payouts. A single bad double can hurt more than a small hit/stand mistake. And over a limited number of hands, luck still matters. So you can see a model that is slightly less accurate end up with a better balance simply because variance went its way.

This is not just gambling trivia. It is a reminder that your evaluation metric shapes what looks “best.” If your product cares about costly failures, you should measure cost-weighted errors, not just raw accuracy.

Why this matters outside blackjack

A blackjack hand is a tiny state with a clear action set. Software is full of the same structure:

• incident triage rules
• retry and backoff policies
• access control and permissions
• billing and pricing logic
• feature rollout rules
• compliance checks

In all of these, you often have clear policies you want followed. If a model struggles to consistently follow a small decision table, it will also drift when it is asked to follow your company’s rules unless you design around that.

The better mental model: LLMs behave like learned heuristics

A traditional program executes rules. A plain LLM often imitates rules and sometimes improvises. That is why you see those “error personalities.” The model is not just retrieving the correct table cell every time. It is applying a learned pattern that is usually right, and occasionally biased.

This is the important angle for the Finxter community: treat the model like a policy learner, not a calculator.

What to do with this insight

The engineering move is not to argue with the model harder. It is to change the shape of the task so the model cannot drift.

A few practical approaches:

• Put the strategy table in code and have the model call it.
• If you keep it in the prompt, force a structured lookup format and validate the output.
• Log mistakes by category (too many doubles, early surrenders, split errors) because that tells you what to fix.

A simple Finxter challenge you can copy

The real win here is not blackjack itself. It is the idea of a small, repeatable benchmark.

Pick any domain where ground truth exists as a clear set of rules or a decision table. Generate a lot of reproducible test cases. Score both accuracy and cost-weighted outcomes. Then look for recurring error patterns, not just the overall score.

That gives you something far more useful than “model A feels smarter than model B.” It tells you how a model behaves under repetition, which is what matters when you are building real systems.

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The post Stop Testing LLMs with Poetry: Use Blackjack Instead appeared first on Be on the Right Side of Change.

Image generated with one of the tools by the author.

As you may know from the Finxter newsletter, I’ve been diving deep into generative AI, building apps, creating content, and experimenting with hundreds of AI tools over the last three years.

The vast majority of AI tools is worthless. But there is a small minority of AI tools that has become integral to my daily routines.

Here are the top six AI tools that I absolutely can’t live without. And, to keep things exciting, I’ll even throw in two bonus tools at the end!

Let’s get started, in no particular order:

Tool 1: Venice AI – When I Need an Uncensored AI

When I need raw, no-holds-barred information, Venice AI is my go-to. Many AI tools these days are overly cautious, dodging anything remotely controversial. But Venice AI? It answers what you ask without a filter.

Here’s a video about Venice AI that I shared with the community months ago:

Whether I’m looking for unfiltered opinions or need AI assistance in areas that might be too “sensitive” for other platforms, Venice AI has my back. It’s like the wild west of AI, and sometimes, you need that boldness.

4 upvotes: Venice.ai on Humanranked.ai

Tool 2: Koala AI Writer – When I Want to Create Quality AI Sites Easily and Quickly

Content creation is a huge part of my work, and when I need quick, high-quality text, Koala AI Writer* is my secret weapon. Unlike other AIs, Koala doesn’t just churn out robotic text—it writes like a person.

*If you use my discount code “FINXTER”, you’ll get 15% off forever.

But how to make an AI content business work? Here’s a short video I recorded outlining my full strategy on creating an AI-based content business:

You can also check out my deep dive article on the Finxter blog to learn more about this strategy:

Recommended Article: How to Make Money with AI Writers (Koala Review)

Tool 3: AI Video Editor – To Make My Faceless YouTube Channels Work as a Video Editing Noob (Thanks to AI)

Creating videos used to be a time-consuming task—until I found Veed.io*. This AI-powered video editor makes my life so much easier. It’s fast, intuitive, and delivers professional-quality results without requiring hours of manual editing.

In fact, I’ve created a whole new AI-generated YouTube channel with more than 50k views per month in just 3 months. And my faceless AI-based YouTube channel is still growing quickly!

I can cut, add subtitles automatically, insert music, AI avatars, AI creations, stock videos, and even generate text-based visuals with just a few clicks. Whether it’s for social media content, marketing materials, or presentations, Veed.io simplifies the whole process.

Check out the best AI video editor and support Finxter via this affiliate link!

Tool 4: ChatGPT o1-preview: When I Want to Go From Zero to Production App in One Day or Less

When it comes to coding, there’s nothing quite like ChatGPT o1-preview. Whether I’m debugging complex code, writing scripts, or generating new ideas for Python projects, this version of ChatGPT is indispensable.

In fact, o1-preview just created my new website Free Videos from scratch, almost 100% by itself. Thanks o1!

It’s like having a second brain that understands programming languages better than most humans do. I use it for everything from creating intricate algorithms to simplifying tricky tasks, and it rarely lets me down.

Tool 5: HuggingFace & HuggingChat – When I Need Cheap and Open Source AI In My Apps

If you’re building AI-driven apps like I am, Huggingface and Huggingchat are tools you simply cannot ignore. These platforms give me access to pre-trained models and powerful AI APIs, making the development process much smoother.

Whether I’m creating natural language processing tools or integrating AI into apps like FreeVideos.ai, Huggingface is my go-to for state-of-the-art models that need API access. Plus, HuggingChat offers a free and open-source competitor AI agent (with all the UI sugar) that can compete with ChatGPT!

Tool 6: Midjourney – When I Need Stunning AI-Generated Visuals

When I need stunning visuals, Midjourney delivers. This AI tool is perfect for creating eye-catching graphics, whether it’s for a presentation, social media, or a website. I can input just a few words, and Midjourney generates high-quality images that fit my needs perfectly.

From abstract art to realistic images, Midjourney has revolutionized the way I think about graphic design. The creative possibilities are endless.

Here’s an image generated by my daughter:

Bonus Tool (#7): OpenAI API – When I Need Intelligence At The Heart of My AI Apps

I couldn’t end this list without giving a shout-out to OpenAI API. It’s the core of many of my AI applications, providing the underlying intelligence for apps like Free Videos, where users can generate professional-grade videos with minimal effort.

If you’re serious about building AI-powered products, the OpenAI API is a must. It’s reliable, versatile, and perfect for integrating sophisticated AI into your projects.

If you master the OpenAI API, you’ll be able to create insanely powerful apps. It’s almost unbelievable how much power you can command today with this library. The skill is easily transferrable too!

And it might be the most important skill of the decade. It’s one of the best paid skills anyways – AI engineers often make six figures with relatively low formal educational requirements.

If you want to learn the AI APIs and become an AI engineer, check out the Finxter Academy with downloadable course certificates so you can proof your skills and get your dream job!

If you’re not using these tools already, give them a try. They’ve given me an unfair advantage, and I’m confident they’ll do the same for you.

*Affiliate Disclaimer: This article contains affiliate links, which means I may receive a commission if you make a purchase through the links provided, at no additional cost to you. I only recommend tools and products that I personally use and trust. Your support helps me continue to create content like this. Thank you!

The post The Top 6 AI Tools That I Can’t Live Without appeared first on Be on the Right Side of Change.

Want to build your own AI website? You can get a -15% discount by using our partner code “FINXTER” when checking it out.

Net Worth and Earnings

Taylor Swift’s wealth comes from multiple sources in the music industry. Her success in album sales, tours, and streaming has made her one of the richest musicians in the world.

Music Sales and Album Performance

Swift’s album sales have been huge. Her first album, “Taylor Swift,” sold over 7 million copies worldwide. Later albums did even better. “Fearless” sold 12 million copies. “1989” topped that with 14 million sales.

Swift’s albums often break records. “Midnights” sold over 3 million copies in its first week. This made it the fastest-selling album of 2022.

Her music sales add a lot to her net worth. Each hit album brings in millions of dollars.

Concert Tours Revenue

Tours are a big money-maker for Swift. Her “Reputation Stadium Tour” in 2018 was a massive hit. It made $345.7 million, breaking the record for highest-grossing U.S. tour.

The “1989 World Tour” in 2015 was also huge. It earned $250.7 million.

Swift’s “Eras Tour” in 2023 is expected to be her biggest yet. Some think it could make over $1 billion.

Concert revenue is a key part of Swift’s income. Each tour adds tens or hundreds of millions to her wealth.

Streaming Royalties

Streaming has become a big part of Swift’s earnings. Her music gets billions of plays on platforms like Spotify and Apple Music.

In 2022, Swift was Spotify’s second most-streamed artist globally. She had over 23.8 billion streams that year.

Streaming adds millions to Swift’s income each year. While the exact amount isn’t public, it’s likely in the tens of millions.

Swift’s move to re-record her old albums has boosted her streaming income. She now owns these new versions, earning more from each play.

Endorsements and Sponsorships

Taylor Swift makes big money from brand deals and fashion partnerships. These add millions to her bank account each year.

Brand Partnerships

Taylor Swift has teamed up with major companies to boost her income. She’s worked with Coca-Cola, promoting Diet Coke in commercials and events. This deal alone was worth millions.

Apple Music also partnered with Swift. She starred in funny ads for the streaming service. These spots showed her workout mishaps while listening to music.

Swift has also promoted Keds shoes. She designed her own line of sneakers for the brand. This deal helped her connect with young fans and make more cash.

Capital One is another big name on Swift’s list. She appears in their credit card ads, bringing her star power to banking.

Fashion Collaborations

Swift’s fashion deals add even more to her wealth from endorsements. She’s worked with top clothing brands to create her own styles.

Her partnership with Stella McCartney was a hit. They made a clothing line inspired by Swift’s “Lover” album. Fans could buy tees, hoodies, and bags with Swift’s lyrics.

Swift also had a deal with Cornetto ice cream. She designed cute outfits for their ads in Asia. This helped her reach more fans overseas.

Recently, Swift collabed with Vogue. She appeared on magazine covers and in fashion spreads. This keeps her in the style spotlight and boosts her fashion cred.

Business Ventures and Investments

Taylor Swift has expanded her empire beyond music. She’s made smart business moves and invested in real estate to grow her wealth.

Record Label and Production Company

Swift started her own record label, Republic Records, in 2018. This gave her more control over her music and a bigger cut of profits. She also formed a production company called Taylor Swift Productions. These ventures let her make money from other artists and projects.

Swift has been smart about keeping the rights to her work. She re-recorded her old albums to own the new versions. This move was both artistic and financial. It helped her make more money from her back catalog.

Real Estate Holdings

Swift owns several high-value properties across the U.S. Her real estate portfolio includes:

• A penthouse in New York City
• A mansion in Rhode Island
• Multiple homes in Nashville
• A house in Beverly Hills

These properties are worth millions. They’re not just homes, but investments that grow in value over time. Swift has shown she’s good at picking prime locations that increase in worth.

Her real estate choices reflect her business smarts. She buys in areas likely to go up in value. This adds to her net worth without relying only on music income.

Media Appearances and Acting Roles

Taylor Swift has made her mark in both film and television. She’s also become a regular guest on talk shows, sharing insights into her life and career with fans.

Film and Television Presence

Swift’s acting career began with a guest spot on “CSI: Crime Scene Investigation” in 2009. She later appeared in the romantic comedy “Valentine’s Day” in 2010. Her most notable film role came in 2019 with the movie musical “Cats.”

Swift also voiced a character in the animated film “The Lorax” in 2012. In 2022, she directed and starred in the short film “All Too Well,” based on her song of the same name.

On TV, Swift has hosted “Saturday Night Live” twice and made cameo appearances on shows like “New Girl.”

Talk Shows and Interviews

Swift is a frequent guest on popular talk shows. She’s been interviewed by Ellen DeGeneres, Jimmy Fallon, and Graham Norton, among others.

These appearances often coincide with new album releases or tours. Swift uses these platforms to promote her work and connect with fans.

She’s known for her candid and humorous interviews. Swift often shares personal stories and behind-the-scenes glimpses of her life as a pop star.

Her talk show visits sometimes include performances of her latest hits. These appearances help boost her album sales and tour ticket sales.

Music Rights and Publishing

Taylor Swift’s wealth comes largely from her music. She owns her songs and gets paid when they’re played or used. This gives her a big advantage in the music business.

Ownership of Masters

Taylor Swift now owns the master recordings of her newer albums. This means she gets more money when her songs are used in movies, TV shows, or ads. It also lets her control how her music is used.

She re-recorded her old albums to own those versions too. This smart move helps her make even more money from her past hits.

Songwriting Royalties

Swift writes or co-writes most of her songs. This means she gets paid every time one of her songs is played on the radio, streamed online, or performed live by other artists.

Her songwriting skills have won her many awards. These awards help her songs become more popular, which leads to more royalties.

Swift’s publishing deals also bring in a lot of money. These deals give her a share of the profits from her songwriting.

Philanthropy and Charitable Giving

Taylor Swift isn’t just known for her music – she’s also big on giving back. The pop star has donated to many causes over the years.

Swift has given money to help with disaster relief. When floods hit Louisiana in 2016, she donated $1 million to help those affected.

She’s also supported education. Swift gave $50,000 to the New York City public schools in 2015. This money came from sales of her song “Welcome to New York.”

The singer cares about fighting hunger too. She’s worked with food banks and given meals to people in need.

Swift has helped individual fans as well. She’s paid for medical bills and college tuition for some of her supporters who were struggling.

LGBTQ+ rights are another cause Swift backs. She’s spoken up for equality and given to organizations that support LGBTQ+ people.

While the exact amount isn’t known, it’s clear Swift gives a good chunk of her fortune to charity. Her giving shows she wants to use her wealth to make a difference.

Public Perception and Influence

Taylor Swift is known for her massive popularity and influence. Fans admire her talent, style, and ability to connect through music.

Swift’s songs often top the charts. Her concerts sell out quickly. This shows how much people love her music.

She’s also a role model for many young people. Fans look up to her confidence and success. They try to copy her fashion choices too.

Swift uses her fame to speak up about issues. She talks about women’s rights and encourages fans to vote. This makes her more than just a singer to many people.

Her record sales bring in millions in royalties. This proves how much her music resonates with listeners.

Swift’s influence goes beyond music. She’s a savvy businesswoman too. Her marketing skills and brand partnerships impress many.

People respect Swift for standing up to music industry practices she thinks are unfair. This has made her even more popular with fans.

Social media helps Swift stay close to her followers. She often interacts with them online. This personal touch adds to her appeal.

Financial Management and Strategy

Taylor Swift’s money smarts are off the charts. She’s built her fortune through smart moves and savvy business deals.

Swift doesn’t just rely on album sales and concerts. She’s got her fingers in many pies. From endorsements to real estate, she spreads her wealth around.

Her streaming deals are a big win. She’s raked in an estimated $175 million from platforms like Spotify and Apple Music. That’s some serious cash flow!

Swift also knows how to protect her assets. She’s got a team of financial experts who help manage her money. They make sure her wealth keeps growing.

Here are some of Swift’s money moves: • Re-recording her old albums to own the rights • Smart investments in real estate • Lucrative brand partnerships • Merchandise sales

Swift isn’t afraid to stand up for herself financially. She’s fought for better deals and royalties. This has helped her keep more of what she earns.

Her business sense goes beyond music. She’s trademarked lyrics and phrases, turning her words into cold, hard cash.

By diversifying her income and making smart choices, Swift has built an empire that keeps on growing. She’s not just a pop star – she’s a financial powerhouse.

Frequently Asked Questions

Taylor Swift’s wealth and financial success have sparked curiosity among fans and observers alike. Her earnings, investments, and spending habits paint a picture of a savvy businesswoman and global superstar.

Is Taylor Swift hitting billionaire status yet?

Taylor Swift has reached billionaire status. Her net worth is estimated to be around $1.1 billion. This makes her a self-made billionaire, a rare feat in the music industry.

How’s Taylor Swift stacking her cash these days?

Swift’s income comes from various sources. She earns big from music sales, streaming, and concert tours. Her Eras Tour has been a massive moneymaker.

She also profits from merchandise sales and brand partnerships. Smart business moves and real estate investments add to her wealth.

Where’s Taylor Swift sitting on the rich list?

Taylor Swift ranks high among the wealthiest musicians. She’s one of the youngest self-made billionaires in the world.

Her wealth puts her in the company of other music moguls like Jay-Z and Rihanna. She’s also one of the richest self-made women in America.

What’s Taylor Swift doing with all her dough?

Swift spends on luxury homes and private jets. She owns properties in Nashville, New York, and Rhode Island.

She’s known for her generosity too. Swift often donates to charities and fans in need. She’s given money to food banks, disaster relief, and education causes.

Can you break down Taylor Swift’s money moves?

Swift’s smartest move was re-recording her old albums. This lets her own her music and earn more from it.

She’s also savvy with touring. Her concerts are huge moneymakers. Swift keeps control of her brand and music rights, boosting her earnings.

What kind of bank is Taylor Swift rolling with?

Swift’s wealth isn’t just sitting in a bank. She likely has a diverse investment portfolio.

This might include stocks, bonds, and real estate. She probably works with top financial advisors to manage and grow her fortune.

Do you want to create your own AI-based blog and monetize with ads? Check out the best AI writer in the industry and get -15% off forever with our discount code “FINXTER”.

The following video compares this AI writer with ChatGPT-4o and HuggingChat — using this sample article as a reference.

The post How Much Money Does Taylor Swift Have? The Pop Star’s Massive Fortune Revealed appeared first on Be on the Right Side of Change.

Please note that this is not a get-rich-quick guide!

However, if you’re genuinely interested in creating value with AI, you’re in the right place!

Make no mistake – there are significant untapped sources of wealth in AI. The more people get value from your AI agents, the more passive income and active income you’ll generate for yourself and your loved ones.

Let’s start with a simple real-world example of how to make money with an AI-first side hustle:

Example – AI Music Creation: We created a YouTube channel reaching hundreds of thousands of people with AI-generated songs. These are beautiful pieces of art and they deserve every view!

In other words: work smart, not hard.

Core Insight: A single prompt or idea to leverage AI intelligently can change millions of lives — and potentially make millions in the process. AI is the ultimate lever for scale and impact. People who use AI intelligently can create years worth of labor – in seconds. Those people with AI-first mindsets will thrive in the decade ahead.

By the end of this guide, you’ll have actionable strategies to generate passive income with AI, backed by real-life examples and insider tips. So let’s get started, shall we?

What I’m Earning with AI

Now you may ask, and rightly so: “Why trust this random girl from the Internet? What qualifies her to write this article on making money with AI?”

If you’re like me, you’re tired of online marketers who haven’t been there and done that. I’m tired of marketers who don’t give the juicy info like how much money they’re actually making — and how they did it.

In this ultimate guide, I will be brutally honest and transparent. Like so:

How much did I actually make using AI online? In the last year, I made $98,539 and 24 cents by serving more than seven million people per year as a Mediavine Pro user:

By the numbers, that’s

• $98,539 per year
• $8,211 per month
• $269 per day

And that’s only from ads — not including my other business segments.

Info: Mediavine is one of the largest advertisement platforms running blog ads, like the ones you see in this article. Running ads is one of the ways you can generate passive income with AI. The most successful Mediavine users earning $100k per year are invited to the Pro program.

Keep reading if you want to learn how to make money online using AI!

These AI-first skills are NOT taught in college. Because colleges don’t want you to use AI — they hate the fact that AI is now here and will never go away!

But AI is the best opportunity to create a high-value skill set that will remain super relevant in the decade ahead. AI engineers are the new masters of the universe!

Besides AI content creation, there are many more ways to make money online – running ads is only one of my revenue sources. Affiliate partnerships with other businesses are another way to make money with AI.

Disclaimer: This post contains affiliate links, meaning I may earn a commission if you make a purchase. I only recommend products I personally use. Results from the strategies mentioned are not guaranteed and may vary. The information provided is for educational purposes and does not constitute legal, financial, investment, or professional advice. Consult a professional before making decisions. This content is provided “as-is” without warranties. Ensure compliance with your local laws and regulations.

Here’s a visual checklist (quick overview) on how you can make money with AI:

Will People Lose Their Cushy $90k/y Jobs to AI? Yes For Sure!

Many things that worked Before ChatGPT (BC) have stopped working After ChatGPT (AC). Fortunately, some things work now, AC, that didn’t work BC.

Let’s have a brief look at the changing work environment we’re all experiencing:

In the US, 59.8 percent of the workforce are white-collar workers. Most of them will eventually be disrupted by AI tools.

Yes, it’s true. Whatever you did before checking out this article — chances are it’ll get automated. Why should your boss or, by extension, your customers give you money doing the thing AI can do better and for free?

For example, personal finance advisors making a $90k median salary already have an 85% risk of being replaced by generative AI (research):

This will release much of the work in our society and cause significant prosperity for society overall. However, some will be on the wrong side of change.

Savvy one-person business owners already make passive income (or, I should say: leveraged income) with AI. They pay small bucks to AIs instead of huge bucks to employees.

Without further ado, here are the best ways for business owners like me to generate income using AI.

Way 1: Use AI Tools to Generate MASSIVE Amounts of Quality Content and Monetize with Ads

I like simple and proven business models that just work.

Here’s a common business model that’s as simple as it gets – but proven by millions of content creators all around the world:

• Step 1: Publish lots of helpful content — for example, use this little-known AI tool (15% off with code “MONEY”) that’s used by some of the most successful sites on the web ,
• Step 2: Get lots of people reading your content, and
• Step 3: Monetize your website with ads (use premium platforms such as Ezoic, Adthrive, Mediavine, …) as you reach 10k to 50k monthly readers.

Explaining these steps in detail is too much for here, but if you’re interested you can read our in-depth guide on the Finxter blog article here.

For instance, if you publish 10 articles a day — that’s super easy if you use the best AI blogging tools — and one article drives an average of 1000 visitors over its lifetime, you’ll converge to:

10 articles * 1000 visitors * 30 days = 300,000 visitors per month.

A common revenue per thousand visitors is $30. Under these assumptions, the AI blog would generate:

300,000 * $30 / 1,000 = $9,000 per month.

But is it reasonable to reach 1000 visitors per article? Yes, I think so. I usually reach many more with my articles. But you need to make sure that the articles are well-written and that you have done your homework researching “content gaps” that others do not address well.

However, ChatGPT alone won’t do the trick in most cases.

What I do is pay $10 per month for the best AI tool (15% off with code “MONEY”) that not only writes the content but also researches the top-ranking articles for a certain keyword.

The degree of automation is much higher than just using ChatGPT.

At the same time, the article quality is better, and the readability scores are higher. The auto-generated images are beautiful. You can also connect the AI tool to your website, so you can get ready-made articles with a single click.

It analyzes the top-ranking articles for a given keyword and creates its own article structure. Then fills it with outstanding quality content.

All of it in seconds!

Moreover, you can automatically rewrite YouTube videos, create listicles, or Amazon affiliate websites. The best AI writers can auto-publish articles on your WordPress site. Improve readability scores, add FAQ sections, include key takeaways, and use different tone-of-voices.

It cannot be any easier, honestly.

The quality per article is better than what you get from most freelance writers.

Back in the day, I paid $100 per human article. Yet, I needed to wait weeks for each article.

Now you can get a better article quality for less than $1 in seconds using AI!

You can even use it to write affiliate articles – although I don’t do this because I don’t want to recommend what I haven’t tried myself.

I wouldn’t recommend this tool if I hadn’t used it myself to help me reach six figures AI-based income in the last year.

Best AI Tool: Easy and cheap AI Writer to generate perfect SEO-optimized articles with unique and beautiful images and embedded videos (coupon “MONEY” for 15% off!)

Tip: Use the discount code “MONEY” to get 15% off all payments.

Way 2: Six Real-World Examples of AI-Powered Applications

AI services can be EXTREMELY profitable. Let’s have a look at some examples:

Example 1 – AI Writer to Earn Monthly or Annual Subscription Fee

This AI service (use code “MONEY” to get 15% off) recently sent me an email revealing their “secrets”, i.e., how much they make every month:

In other words, this ~3-person startup makes between $150k and $1.5M per month! With a profit margin north of 70%, it profits more than $100k every single month!

If you make $100k profit per month, you’d be a millionaire in less than a year. The business valuation would be north of $4M so you can earn one million and then sell the business for four million a year from now.

Check out the example with discount code “MONEY” (15% off)

Example 2 – Gift Recommender to Earn Affiliate Revenue

Another example of an AI-first app was submitted by a hustling Finxter email newsletter reader who sent me this app that generates links to gift ideas — each is an affiliate link that makes him money:

If you’re an AI engineer with a passion, you can create such an application yourself.

Example 3 – AI Education and AI Engineering

One-person startups that integrate, for instance, OpenAI’s API into their product can replace legions of workers and make a killing on the open marketplace.

Check out the AI engineering course library on the Finxter Academy to certify your AI engineering skills. It’s easier than you think – learning AI engineering is not at all difficult. You don’t need to understand AI — you just need to understand how to use it!

As we all know, value lies in the eyes of the customer.

As a media business owner, I used to pay more than $3,000 per month to my freelancers. Now, I pay $20 for this AI service (code “MONEY” for 15% off) happily. Why? Because it’s more productive and generates better content cheaper.

Action Step: Create a product that saves another business money by using AI in a specific and intelligent way. Anybody who can create a product like that can become a millionaire in a few months, literally.

Example 4 – Movie Recommendation App for Traffic (Ads Financed)

Here’s another example of a movie recommendation app based on the OpenAI API:

By leveraging your expertise in designing and optimizing prompts for large language models, you can work with AI models like GPT-4 to develop unique and valuable solutions for various industries.

Firstly, identify the challenges businesses are facing and where AI-powered applications can provide significant benefits.

Example 5 – Making Money with SaaS using OpenAI’s API

For example, in the marketing industry, you can build AI-driven content generators that produce high-quality, engaging articles and social media posts on demand. These applications can then be monetized through subscription plans or per-use fees.

Recommended: 10 OpenAI SaaS Ideas to Scale a One-Person AI Company

Another potential avenue for prompt engineering is in the field of customer support.

Example 6 – Creating AI Chatbots for Customers

Design AI chatbots to handle inquiries and provide instant assistance to customers. Your prompt engineering background can help create a natural, human-like interaction experience, leading to increased customer satisfaction.

Incorporate AI models into the development of educational tools and e-learning platforms. By crafting well-designed prompts for AI tutors, you can help create personalized learning experiences tailored to individual students’ needs.

All of these are examples of AI-powered applications. Many businesses would gladly pay for an expert or even a scalable solution with “Generative AI at the heart”.

Use your prompt engineering skills to innovate in ways that solve unique pain-points in industries you already know (e.g., the one you’re currently working in). You don’t need to learn the industry, only the basic AI API usage needs which I call “AI Engineering” or “Prompt Engineering”:

Recommended: 10 Steps Learning Path: Becoming a Python Prompt Engineer on the Finxter Academy

Way 3: Offer Consulting Services for AI Language Models

As a prompt engineer, you can use your expertise in prompt engineering to offer consulting services for businesses looking to optimize their AI language models. Many companies rely on AI systems for tasks such as content generation, customer support, and data analysis.

There are millions of new open-source tools, and nobody really gets the whole picture.

Recommended: Llama 2: How Meta’s Free Open-Source LLM Beats GPT-4!

Confusion is everywhere — which is your unique opportunity as an LLM prompt engineer consultant!

By providing sought-after insights and guidance, you can help these businesses enhance the performance and capabilities of their AI systems. How? Your in-depth knowledge of tech and prompt engineering will allow you to identify areas of improvement in their current AI models. You can recommend adjustments to the prompts used in AI systems, suggest strategies for refining the models, and provide guidance on best practices and data selection.

Pro Tip: To make your consulting services stand out, consider obtaining additional certifications in AI, machine learning, or data science. This will not only demonstrate your commitment to the field but also lend credibility to your expertise.

When offering consulting services, it’s crucial to maintain a confident, knowledgeable, and clear tone in your communication. As a prompt engineer, your role is to guide your clients through the complex world of AI and prompt engineering in a way that helps them understand and benefit from the potential of their AI systems.

By doing this, you can create a successful consulting business that helps you earn money in the rapidly evolving tech landscape.

Way 4: Develop Chatbot Solutions for Businesses

As a prompt engineer, you can leverage your skills to develop chatbot solutions for various businesses. With the growth of language models like GPT-4, GPT-4V, and ChatGPT, there is a high demand for chatbots that can assist businesses in customer support, lead generation, and user engagement. By understanding the art of crafting perfect prompts, your chatbots can become more empathetic and efficient.

Many businesses constantly seek ways to automate their customer service and save costs. By designing a chatbot solution using powerful language models like GPT-4, you have the potential to create an additional income stream. Tailor your chatbot to address specific industry needs and emphasize how it can benefit the businesses you approach.

Your confidence in working with language models and the knowledge you’ve gained can open opportunities for you to collaborate with startups and established companies alike. Just recently, a Finxter reader (medical doctor) had an idea for a profitable startup and asked me for skilled prompt engineers to implement his idea for a share of the business.

99% of business owners and professionals still rely on your expertise to guide them through the process, which solidifies your value as a prompt engineer.

Way 5: Offer Prompt Engineering Consulting Services

We’ve already seen how you can make money by providing Consulting Services for AI Language Models (Way 2). However, as a prompt engineer, your expertise can be invaluable to various industries. One way to share your knowledge and make money is to offer consulting services, working closely with clients to optimize and refine prompts for their specific needs, domains, and use cases.

Prompt engineering consultancy rather than AI large language model consultancy – it’s a different offer and business model!

You can start by identifying your target market, such as businesses, educational institutions, or marketing agencies. Once you’ve narrowed down your audience, showcase your skills by creating a portfolio of prompt engineering samples that demonstrate your ability to design, optimize, and refine creative prompts such as this one:

Recommended: What Would Jesus Say? Creating a ChatGPT Mastermind with Jesus, Gandhi, Musk, and Gates

Then, you can reach out to potential clients and introduce your services. Your value proposition can be focused on improving the efficiency of their AI models, generating better results for their end-users, or creating custom-tailored prompts that cater to a specific domain.

Freelancer Pro Tip: “Maintain an air of confidence, neutrality, and professionalism. Communicate your value proposition effectively, understand your client’s needs, and demonstrate how your skills can directly benefit their business or domain. If you do this, your prompt engineering consulting services can become a lucrative venture as you assist clients.”

Way 6: Develop and Sell AI Tools for Various Applications

As a prompt engineer, by leveraging your knowledge of large language models and machine learning, you can develop advanced AI tools and monetize them effectively.

Identify High-Demand Applications Start by researching the market to find areas where AI tools are in high demand. Some popular applications include content generation, language translation, and data analysis. By focusing on these high-demand areas, you increase your chances of creating a valuable product that will attract a wide range of customers.

An example tool is this one:

Review: How to Make Money with AI Writers – Koala Review with 15% Discount Code

Customize AI Models for Specific Problems Develop AI models tailored to solve specific problems in various industries. Remember that customization is key – pay attention to the unique requirements of each domain and make sure your AI tools address those needs effectively. For instance, if you create an AI tool for content generation, you can customize it for different types of content like blog posts, social media updates, or press releases.

Offer Various Pricing Options Once you have developed your AI tools, create various pricing options to accommodate different budgets and needs. You can offer tiered pricing plans based on the complexity of the AI model, the number of usage hours, or the level of customer support provided. This allows businesses of all sizes to access your AI tools and benefit from them, leading to a broader customer base.

Promote Your AI Tools Effectively Use your knowledge and expertise in prompt engineering to create compelling marketing materials and tutorials for your AI tools. Clear, informative content that showcases the benefits of your AI solutions will help potential customers understand the value of your products. Participate in relevant forums, webinars, and conferences to increase your visibility and establish yourself as an expert in your field.

Note: Creating an AI-based tool is often as simple as integrating OpenAI’s API in a Streamlit app:

Recommended: How I Created a Weekly Shopping List and Recipe App in Streamlit

Way 7: Educate Others through Online Courses and Workshops

As a confident and knowledgeable prompt engineer, you have the power to share your expertise with others. By developing online courses and conducting workshops, you can help people learn the ins and outs of prompt engineering. This not only benefits your students but also provides you with an additional revenue stream.

One option you can explore is creating online courses for platforms like Udemy or Coursera. These platforms make it easy for you to publish your educational content and reach a wide audience. You can design the course to cover all aspects of prompt engineering, from foundational concepts to advanced techniques. By setting your price point and marketing efforts, you can attract students and grow your earnings.

In addition to online courses, you can also conduct workshops for local businesses and organizations. Many companies seek professionals who can teach their employees how to effectively leverage AI-powered tools, and your expertise as a prompt engineer fits this demand. By collaborating with businesses, you can offer tailored workshops that cover specific use cases and applications relevant to their industry. This hands-on approach not only helps bridge the knowledge gap for participants but also allows you to earn money for sharing your skills.

Here’s a screenshot of the Finxter academy courses on prompt engineering:

Way 8: Develop Prompt-Based Automation Solutions

As a prompt engineer, you can leverage your programming skills to create innovative automation solutions for various industries. By combining prompt engineering with AI platforms, you can create effective tools that save time, reduce costs, and improve efficiency for businesses.

One approach is to develop software or applications that utilize AI-driven prompts to streamline complex tasks. For example, you can create a tool that automates the generation of marketing content, customer support responses, or even financial analysis using natural language processing and machine learning models.

Five quick examples:

• Idea 1: Automated Content Creation: Develop a tool that generates SEO-optimized content for blogs, websites, and social media platforms, catering to marketers, content creators, and businesses looking to enhance their online presence.
• Idea 2: Customer Support Automation: Implement a chatbot that uses AI prompts to understand and respond to customer inquiries, reducing response times and enhancing customer experience, which is crucial for businesses of all sizes.
• Idea 3: E-commerce Product Description Generator: Create a tool that automatically generates compelling and unique product descriptions for e-commerce platforms, aiding online retailers in improving product listings without manual effort.
• Idea 4: Legal Document Generator: Develop a solution that automates the creation of legal documents based on user inputs, providing a valuable tool for legal professionals and individuals who require quick, standardized legal documents.
• Idea 5: Automated Financial Analysis: Design a tool that provides in-depth financial analysis and reporting based on user prompts, which can be invaluable for financial analysts, investors, and businesses making data-driven financial decisions.

To begin, identify problems that businesses face and understand their unique needs. Focus on areas where automation can make a significant impact and where your programming skills can truly shine. Once you’ve identified potential opportunities, design and develop prompt-based solutions that cater to those specific needs.

You must stay updated on the latest AI platforms, programming languages, and machine learning models to ensure your solutions remain relevant and effective. As the field evolves, so should your expertise.

You can check out our free email academy with regular updates on this rapidly evolving field of large language models and AI by downloading our Python cheat sheets:

Way 9: Offer Your Services on Freelance Platforms

As a prompt engineer, you possess a unique set of skills that can help businesses and individuals make the most out of their AI technologies and services. One path to earn money is by offering your expertise on popular freelance platforms like Upwork and Fiverr.

Recommended: What Are the Best Freelancing Sites for Coders?

To get started, create a compelling profile showcasing your skills, accomplishments, and expertise in prompt engineering. This will help potential clients learn about your background and what you can offer them. Make sure to tailor your profile to emphasize your experience as a freelance writer, as this could attract clients looking for content creation services that leverage AI.

Next, explore the available job postings on these platforms, and don’t hesitate to submit proposals for any projects that align with your skills. Keep an eye out for requests to fine-tune language models, enrich content, or even develop AI solutions.

Proactively promoting your services is crucial for success. Share your profile with your network, and use social media platforms like LinkedIn to connect with potential clients in industries that could benefit from prompt engineering.

Lastly, always focus on delivering high-quality work to your clients. Create more value than you take in payment! This will not only help you maintain a strong reputation on the platform but also increase the chances of receiving referrals and well-paying projects in the future.

Recommended: Finxter Freelance Developer Course

Way 10: Integrate LLMs into Business Workflows to Unlock Millions

As a prompt engineer, you can maximize your income potential by leveraging various AI tools and platforms. One way to do this is by offering services related to popular AI language models like PromptBase and LLMs.

Many businesses are highly interested in integrating AI-powered solutions into their existing workflows. In fact, I’d say this is the low-hanging fruit of our times: integrating existing LLM solutions into existing companies to unlock millions of dollars of value with a few clicks! You can serve as a consultant, guiding them through the process and helping them smoothly incorporate AI tools into their systems.

Want some stats on this thesis? No problem, look at this McKinsey report:

Always stay up-to-date with the latest advancements and trends in the AI world to maintain your competitive edge. Enhancing your proficiency in various AI language models, frameworks, and techniques will ensure that your services remain in demand and provide you with many opportunities.

Your success as a prompt engineer depends on your ability to adapt and leverage the current AI market. By mastering AI tools and platforms, you can unlock new revenue streams and expand your client base.

Here’s such an example framework that’ll help you connect LLMs with myriads of data sources to unlock massive value in many businesses:

Recommended: LlamaIndex – What the Fuzz?

Way 11: Fine-Tuning and Stable Diffusion

As a prompt engineer, you can venture into the world of AI-generated images by leveraging stable diffusion techniques. This opens up a new avenue for you to make money while staying abreast of cutting-edge technology. With model fine-tuning skills under your belt, you’ll possess an unmatched advantage in the industry.

By using stable diffusion, you can generate high-quality AI images that are both visually stunning and detailed. This skill can be applied to various industries, such as advertising, gaming, and fashion, where unique and eye-catching visuals are always in demand. Offer your services as an image generation specialist and assist clients in creating innovative visuals for their projects.

Another aspect where your expertise could prove valuable is in assisting businesses to incorporate AI-generated images in their processes. Many organizations need personalized visuals that align with their brand identity. As a prompt engineer with experience in stable diffusion, you can provide a bespoke image generation service that caters to these needs.

In addition to creating AI images, you can also offer your skills in model fine-tuning. As AI models become more sophisticated, the demand for prompt engineers with the ability to fine-tune them grows. By fine-tuning these models for specific applications, you can help clients improve their AI systems and ensure that they generate relevant and accurate outputs.

Way 12: Sell GPT-4 Generated Merchandise on Etsy

As a prompt engineer, you can harness the power of GPT-4 to create unique and personalized products that cater to niche markets. By selling your products on Etsy, your target audience can access and purchase these AI-generated products with ease. Let’s explore this method with a few examples.

First, imagine designing custom t-shirts with unique slogans and catchphrases generated by GPT-4 or GPT-4V. You can input a list of keywords or interests, and the AI will provide you with numerous creative options. Simply select your favorites, print them onto high-quality t-shirts, and list them for sale on your Etsy shop.

Another possible product idea involves creating artwork or illustrations using GPT-4-generated descriptions. Once you have the AI’s creative input, collaborate with a talented artist or graphic designer to bring your vision to life. Or just pass it into Midjourney. These one-of-a-kind pieces can be sold in the form of prints, posters, or even digital downloads.

Recommended: 4 Effective Prompt Generators to Use Daily for ChatGPT & Midjourney

In addition, consider offering personalized poetry or short stories as an Etsy product. Customers can send you their interests, memories, or even specific events to shape the narrative.

To validate the effectiveness of your unique product offerings, create a few case studies to showcase your best work. Share these case studies on your Etsy shop and social media channels to demonstrate how you expertly combined prompt engineering with marketable products.

20 Bonus Ideas to Make Money with GPT-4

Still not tired? Let’s check out some additional ways to make money using ChatGPT and other generative AI models next.

Content Creation and Writing Services

By leveraging AI and LLM technology, content creators can produce high-quality, tailored content at scale, potentially increasing earnings significantly. Automated content generation can lead to consistent revenue streams. Passive income is possible through subscription models or selling pre-made content packages.

Income Potential: Earnings can range from $50 for basic articles to over $5,000 for specialized content. With subscription models or pre-made content packages, passive income can range from $200 to $10,000+ monthly for 90% of content creators, depending on the audience size, business model, and niche.

1. Copywriting Services: GPT-4 can assist you in creating persuasive and engaging copy for websites, product descriptions, and marketing materials. You can proactively offer your services to businesses, e.g., for free, with a revenue share model when the sales page conversion increases. This way, you don’t create another job for you, but a highly lucrative equity opportunity.
2. Social Media Management: Utilize GPT-4 to generate catchy captions, engaging posts, and tweets for businesses’ social media profiles.
3. Blog Writing: GPT-4 can generate informative and well-researched blog articles, making creating content for your own or clients’ blogs easier. If you sell one blog post for only $50 to clients and you create 10 blog posts per day using GPT-4, you can create $500 income per day!
4. Content Websites: Create niche websites or blogs and use GPT-4 to generate unique and valuable content to attract readers and monetize through ads or affiliate marketing.
5. eBook Writing: Write and publish eBooks on platforms like Amazon Kindle Direct Publishing with the help of GPT-4 to generate passive income. Amazon has just limited the number of books you can publish to 3 per day. That’s enough!

On a personal note, many blog owners seek regular high-quality content additions for their websites or social networks. A high-value business model for you is to create a mini agency offering prebuilt packages such as:

120 content pieces for $4000 per month: 30 blog posts per month + 30 Facebook posts per month + 30 Twitter posts per month + 30 Instagram posts per month (Midjourney! DALL-E!)

Many businesses big or small — e.g., banks, insurances, blog owners, influencers — would highly appreciate the service and the continuous content provided by your agency and you could offer your services not only to a single client but to 10 clients or more making $40,000+ per month!

Creative Ventures

AI and LLM can assist in generating art, music, and design, opening avenues for unique digital products. Artists can monetize AI-generated creations or use AI to enhance their work, leading to increased sales. Passive income can be achieved by licensing AI-generated assets or through automated design platforms.

Income Potential: For AI-assisted art or music, earnings can vary widely from $100 for digital prints to $50,000+ for unique AI-generated masterpieces. Passive income from licensing or automated platforms can range from $500 to $15,000+ monthly.

6. Video Creation: Use GPT-4 to generate scripts, captions, and video content for platforms like YouTube, Vimeo, or your own website to monetize through ads or sponsored content. You could use AI-based text-to-speech tools like Google’s Sandstorm to automatically create podcasts, and combine the audio with autogenerated images to create stunning YouTube videos with a click of a button!

7. Graphic Design: Utilize GPT-4’s capabilities to generate graphics, logos, and designs for your clients or for your own online store.
8. Comic Book Creation: GPT-4 can assist you in creating comic books by generating text, graphics, and even video content. We have a Finxter article on a similar topic here.
9. Virtual Reality Experiences: Combine GPT-4 with virtual reality technology to create immersive experiences for entertainment, education, or training purposes.
10. AI Art: GPT-4’s creative abilities can be harnessed to generate unique and original artworks, which can be sold or licensed to individuals or businesses looking for AI-generated art.

A beautiful example is given in this article by Finxter Roman:

Recommended: I Made a ChatGPT-Powered Logo Generator App Using Python Flask in 7 Steps

Also make sure to check out the overview article on making passive income as a coder today:

Recommended: 3 Easy Ways to Make Passive Income as a Coder

Language and Communication Services

LLM technology revolutionizes translation, transcription, voice actor, and language tutoring services. Many of the day-to-day work of these services can be fully automated with LLM technology using text-to-speech, translation, or text generation tools.

Recommended: How I Created an Audiobook App with Streamlit

Professionals can offer faster and more accurate services, leading to a higher client turnover and increased rates. Passive income is feasible through automated translation or transcription platforms and AI-driven language learning apps.

Income Potential: For AI-enhanced translation, text-to-speech, transcription, earnings can range from $0.10 to $1.00 per word or minute. For language tutoring, rates can go from $20 to $200 per hour. Passive income from automated platforms or apps can range from $1,000 to $20,000+ monthly.

11. Translation Services: Offer translation services using GPT-4’s language capabilities to bridge language barriers for clients or on freelance platforms. You can also create full-automated SaaS tools that charge a fair $99 fee for 100,000 translated words per month of service. If you find 100 paying users, your passive income will reach six figures per year!
12. Language Learning: Create language learning apps or platforms that leverage GPT-4’s language models to provide interactive and personalized language learning experiences.
13. Writing Assistance: Develop writing tools and apps that integrate GPT-4’s language models to provide grammar and writing suggestions to users.
14. Customer Support Chatbots: Use GPT-4 to create chatbots that provide customer support and engage with users in a natural and helpful manner.
15. Virtual Assistant Services: Develop virtual assistant applications powered by GPT-4 that can help users with tasks like scheduling, reminders, and information retrieval.

Business and Financial Ventures

AI can optimize business strategies, financial forecasting, and investment decisions. There’s incredible money in this industry if you can use LLMs to create value in the financial industry (e.g., analyzing companies automatically).

Entrepreneurs and financiers leveraging AI can achieve better returns and efficiency, potentially multiplying their earnings. Passive income is possible through AI-driven investment platforms or by selling AI-based business optimization tools.

Income Potential: Using AI for business optimization or financial forecasting can lead to project earnings from $1,000 to $100,000+, depending on the scale. Passive income from AI-driven investment platforms or tools can range from $2,000 to $50,000+ monthly, based on assets under management and tool adoption rates.

16. Trading and Investment Strategies: Utilize GPT-4’s ability to analyze market trends and generate insights to develop profitable trading and investment strategies.
17. Business Planning and Consulting: GPT-4 can assist in generating business plans, market research reports, and financial projections for startups and small businesses. Think about the potential!
18. Personal Finance Advice: Develop personal finance apps or platforms that leverage GPT-4’s insights to provide tailored financial advice to users. These apps have “ChatGPT at the heart“, i.e., as their primary means to process data on the backend. However, you can even use GPT-4 to create the apps for you.
19. Data Analysis Services: Use GPT-4’s analytical capabilities to offer data analysis services to businesses looking for insights and trends in their data.
20. Market Research: Leverage GPT-4 to analyze market trends and generate comprehensive market research reports for businesses in various industries.

You can also check out our prompt engineering ideas to make money as a startup founder to get more ideas that are more technical.

Recommended: Startup.ai – Eight Steps to Start an AI Subscription Biz

With the advent of GPT-4, the possibilities for making money have expanded significantly. From content creation and writing services to creative ventures, language and communication services, and business and financial ventures, GPT-4 offers a wealth of opportunities for individuals to tap into.

In a single year, you can churn out 100s of these ideas using GPT-4 to see what sticks in the marketplace. As soon as you find something that works, scale it up with GPT-4!

Frequently Asked Questions

What types of projects do prompt engineers work on?

Prompt engineers typically work on various projects, which may include developing creative prompts for AI applications, creating online courses, tutoring, and writing articles or blog posts. They may also dabble in freelancing or consulting, as well as inventing and creating new products or services.

Which platforms or websites offer opportunities for prompt engineers?

Opportunities for prompt engineers can be found on various platforms and websites. Some popular options include Freelancer, Upwork, and Vital Dollar. Additionally, you can explore opportunities on websites like Medium for publishing content, or even create your own blog or website to showcase your expertise.

How can one enhance their skills in prompt engineering?

To enhance your skills in prompt engineering, consider enrolling in online courses, participating in workshops, or attending webinars. A good starting point is the Prompt Engineering Course which aims to take you from zero to hero in prompt engineering.

Are there any certifications available for prompt engineers?

The Finxter Academy provides six certification levels for prompt engineers certifying the completion of six prompt engineering courses at the time of writing (Downloadable Personalized PDF Certificates). The course library is expanding, so you can learn skills such as prompt engineering, OpenAI API, Streamlit, web scraping, and Llama-2.

What strategies can help in successfully making money as a prompt engineer?

To successfully make money as a prompt engineer, focus on building a strong online presence by showcasing your skills and expertise. You can do this through a personal website, portfolio, or by contributing to well-known platforms. Additionally, engage in continuous learning, stay updated with the latest trends, and maintain a reliable network of contacts who can recommend you for projects or collaborations.

How can networking benefit a prompt engineer’s career?

Networking can greatly benefit your career as a prompt engineer by opening up opportunities for collaborations, referrals, and new projects. By building strong connections with other professionals within your niche, you can learn from their experiences and gain valuable insights about the industry.

If you’re a tech enthusiast, let’s learn the ultimate leveraged skill of this decade: AI Engineering. Colleges don’t teach it. To solve this gap, we have created a full-fledged affordable academy with the goal of educating the next wave of AI disruptors and prompt engineers:

Finxter Academy: Browse our course library – and certify your AI skills as a hands-on AI engineer. It’s easier than you think! Use discount code “MONEY” to get 20% off!

The post 12 Ways to Make Money with AI appeared first on Be on the Right Side of Change.

Source: https://www.nvidia.com/en-us/ai/

Overview

• NVIDIA NIM Launch: Available for 28 million developers to easily build generative AI applications for various use cases like copilots and chatbots, reducing deployment time from weeks to minutes.
• Productivity Boost: Simplifies adding generative AI to applications using standardized, optimized containers for multiple model types (text, images, video, speech).
• Infrastructure Efficiency: Running Meta Llama 3-8B with NIM produces up to 3x more generative AI tokens, enhancing efficiency and boosting infrastructure utilization.
• Widespread Integration: Nearly 200 partners, including Cadence, Cloudera, Cohesity, DataStax, NetApp, Scale AI, Synopsys, and Hugging Face, are integrating NIM to accelerate generative AI deployments.
• 40+ NIM Microservices: Supports a wide range of generative AI models, including Databricks DBRX, Meta Llama 3, Microsoft Phi-3, and more, available as endpoints on ai.nvidia.com.
• Healthcare and Digital Biology: NIM supports applications in healthcare and digital biology, powering tasks like surgical planning, digital assistants, drug discovery, and clinical trial optimization.
• Interactive Digital Humans: New NVIDIA ACE NIM microservices enable building lifelike digital humans for customer service, telehealth, education, gaming, and entertainment.

NIM Industry Use Cases

• Foxconn: Uses NIM for domain-specific LLMs in AI factories.
• Pegatron: Advances local LLM development with Project TaME.
• Amdocs: Enhances customer billing accuracy and response time.
• Lowe’s: Improves customer and associate experiences.
• ServiceNow: Integrates NIM for scalable LLM development.
• Siemens: Uses NIM for shop floor AI and Industrial Copilot.

The post NVIDIA Inference Microservice (NIM) appeared first on Be on the Right Side of Change.

Evidence 1: LMSYS Leaderboard

Evidence 2: OpenAI Simple Evals Benchmark

Evidence 3: Analyzing the Sentiment of the OpenAI Community

Evidence 4: Costs

Evidence 5: Speed

Evidence 6: Model Capabilities and Conceptual Differences

Evidence 7: My Personal Opinion

Clearly, GPT-4o wins. It was able to process my whole 160-page dissertation and provided well-thought out research gaps that could be used for scientific progress. GPT-4 is not capable of that.

To learn more about this mind-boggling experiment, check out my blog and YouTube video:

ChatGPT-4o Understands My Dissertation Better Than I Do

The post GPT-4 vs GPT-4o? Which is better? appeared first on Be on the Right Side of Change.

In 2023, AI’s rapid progress saw the release of numerous new large language models, with two-thirds being open-source. Notably, Gemini Ultra reached human-level performance on the MMLU benchmark, and GPT-4 achieved a 0.96 mean win rate on the HELM benchmark.

Despite a decline in global private AI investment, funding for generative AI surged. AI’s integration into daily life is growing, with increased mentions in Fortune 500 earnings calls and evidence of AI boosting worker productivity.

What are the skills most in demand among the AI job postings in 2023? See here:

What do computer scientists earn? See here:

With these interesting nuggets out of the way, let’s dive into the top 10 takeaways of the new Stanford report on Artificial Intelligence.

Takeaway 1: AI Outperforms Humans in Specific Areas

AI excels in tasks like image classification, visual reasoning, and English comprehension, but struggles with more complex tasks such as advanced mathematics, visual common-sense reasoning, and planning.

GPT-4 still outperforms most alternative models in many benchmarks:

The Massive Multitask Language Understanding (MMLU) test is one of the best tests that asseses model performance in 57 subject areas including humanities, STEM, social science. We have reached human baseline performance!

For the average person, this means that while AI can handle certain routine and straightforward tasks, it still requires human intelligence for more intricate problem-solving.

Takeaway 2: Industry Leads AI Research

In 2023, the industry developed 51 notable machine learning models, compared to academia’s 15. Additionally, 21 notable models resulted from industry-academia collaborations, marking a new high.

This dominance means that businesses are at the forefront of driving AI innovation, potentially leading to faster commercialization of AI technologies that can improve everyday life.

Takeaway 3: Rising Costs for Frontier AI Models

The training costs for state-of-the-art AI models are skyrocketing. For instance, OpenAI’s GPT-4 training costs were estimated at $78 million, while Google’s Gemini Ultra cost $191 million.

These escalating costs could lead to higher prices for AI-driven products and services, impacting consumers’ access to advanced technologies.

Takeaway 4: U.S. Dominates AI Model Development

In 2023, U.S.-based institutions created 61 notable AI models, significantly surpassing the European Union’s 21 and China’s 15.

However, China has long granted most AI patents:

For the common person, this indicates that the U.S. remains a global leader in AI innovation, potentially providing Americans with earlier access to cutting-edge AI applications and services.

Takeaway 5: Lack of Standardized Evaluations for LLM Responsibility

There is a significant absence of standardized benchmarks for responsible AI. Leading developers like OpenAI, Google, and Anthropic use different benchmarks, complicating systematic risk and limitation assessments.

This inconsistency means that consumers might face varying levels of safety and ethical standards in AI products. Here’s an initial evaluation of the “trustworthiness” of different models:

However, there are multiple standardized tests for LLM performance (e.g., MMMU) which might be more important for now — given the difficulty of “testing” the ethical standards of an AI model anyways.

Takeaway 6: Surge in Generative AI Investment

Despite a general decline in AI private investment, funding for generative AI surged to $25.2 billion in 2023, nearly eight times the amount in 2022. Companies like OpenAI, Anthropic, Hugging Face, and Inflection reported significant fundraising.

This boom means more innovative AI tools and applications are likely to enter the market, enhancing creativity and productivity in everyday life.

However, it is very interesting to see that we’re not at peak investment. The year 2021 has seen far higher investments in AI:

This might indicate that the amazing AI skills we see in 2024 are just the beginning. We’re not at the peak of a hype phase yet.

Takeaway 7: AI Enhances Worker Productivity

Studies from 2023 show that AI improves worker productivity and output quality. AI also helps bridge the skill gap between low- and high-skilled workers. However, improper use without oversight can decrease performance.

For workers, this means that integrating AI into their workflows can make their jobs easier and more efficient, but it’s essential to use these tools correctly.

Takeaway 8: Accelerated Scientific Progress with AI

AI significantly advanced scientific discovery in 2023 with applications like AlphaDev for efficient algorithmic sorting and GNoME for facilitating materials discovery.

For instance, AlphaDev has already made it in the C++ sorting library — proof that it’s a superior AI-generated sorting algorithm. The impact not only on science but on all computing applications is significant!

Here’s the groundbreaking work on materials research:

Check out my article on the topic:

Google Deep Learning – 800 Years of Human Experimentation in One Discovery

This progress means that breakthroughs in science and technology could occur more frequently, leading to faster advancements in health, energy, and other crucial areas that affect everyday life.

Takeaway 9: Increase in U.S. AI Regulations

AI-related regulations in the U.S. have grown substantially, from one in 2016 to 25 in 2023, with a 56.3% increase last year alone.

For the public, this indicates that the government is taking steps to ensure that AI technologies are developed and deployed responsibly, potentially reducing risks associated with these technologies.

Takeaway 10: Growing Public Awareness and Anxiety About AI

A survey by Ipsos revealed that the percentage of people who believe AI will dramatically impact their lives in the next 3-5 years rose from 60% to 66%. Additionally, 52% express nervousness about AI products and services, up from 37% in 2022. In the U.S., Pew data shows 52% of Americans feel more concerned than excited about AI, up from 37% in 2022.

This growing awareness and concern reflect a need for better public education on AI and more transparency from AI developers to build trust with the public.

The post Top 10 Takeaways from Stanford’s AI Index Report 2024 appeared first on Be on the Right Side of Change.

Massive Performance Boost

Trillium TPUs deliver a whopping 4.7x increase in peak compute performance per chip compared to the previous TPU v5e. This leap is achieved through expanded matrix multiply units and increased clock speeds. What this means is faster training and serving of AI models, making AI more efficient and accessible.

This is impressive given that the previous TPU v5p was already 2.8x times faster than TPU v4. The improvements in the space are mind-boggling!

By the way, here’s an interesting breakdown on when to use TPUs, according to Google:

Doubling Down on Memory and Bandwidth

Trillium doubles the capacity and bandwidth of High Bandwidth Memory (HBM) and the Interchip Interconnect (ICI). This allows the TPU to handle larger models and more data at faster speeds. Essentially, it can process twice the amount of model weights and key-value caches, improving the efficiency and speed of AI workloads.

Specialized for Advanced AI

Equipped with third-generation SparseCore, Trillium is tailored for processing ultra-large embeddings, crucial for advanced ranking and recommendation systems. This specialization helps in accelerating workloads and reducing latency, making AI applications smoother and faster.

Scalability and Efficiency

Trillium can scale up to 256 TPUs in a single high-bandwidth, low-latency pod. With multislice technology and Titanium Intelligence Processing Units (IPUs), it can connect thousands of chips in a supercomputer setup. Plus, it’s over 67% more energy-efficient than its predecessor, making it Google’s most sustainable TPU yet.

Real-World Applications

From autonomous vehicles to drug discovery, Trillium TPUs are set to power the next wave of AI models. Companies like Essential AI, Nuro, and Deep Genomics are already gearing up to leverage Trillium for groundbreaking advancements in their fields.

AI Hypercomputer Integration

Trillium is a key component of Google Cloud’s AI Hypercomputer, a supercomputing architecture designed for cutting-edge AI tasks. This setup integrates Trillium TPUs with open-source software frameworks and flexible consumption models, empowering developers to push the boundaries of AI.

Partnerships and Support

Google has teamed up with Hugging Face, SADA, and Lightricks to enhance AI model training and serving. These collaborations ensure that Trillium’s performance gains are easily accessible to AI developers and businesses.

Google’s Trillium TPUs are set to be available later this year.

Valuing $NVIDIA as a Real Estate Company That Sells Housing to AI Agents ($100k/Share in 2034)

The post Google Big AI Chip Announcement – Trillium: 6-th Gen TPU (4.7x) appeared first on Be on the Right Side of Change.

Common Causes: Depletion of free tokens allocated initially, which may expire after three months or upon full use. Hitting the rate limit set for your account, necessitating pacing of API requests.

In particular:

• Usage under a default organization with limited credits, such as a free trial plan.
• Monthly budgets set lower than organization’s needs.
• High-demand services consuming excessive credits per request.
• Large or complex data sets requiring numerous requests.
• Exhaustion of prepaid plan credits.

Resolution Steps:

1. Review Usage and Budgets: Check your current usage and monthly budget settings in your account to identify how many credits have been used. Adjust the monthly budget closer to the maximum allowed usage if necessary.
2. Request Usage Limit Increase: If your needs exceed the current limits, explore options for increasing your usage tier or request a special exception to raise your usage limit by filling out the required form. We will assess your request and respond promptly.
3. Upgrade to a Paid Plan:
   • Create or transition to a paid account on OpenAI’s platform.
   • Add a payment method, such as a credit or debit card.
   • Generate a new API key if your existing key was created before the upgrade.
4. Post-Upgrade Expectations:
   • It may take up to 10 minutes for the system to recognize the new paid account settings and for the error to resolve.
   • Monitor your API usage through the usage dashboard to ensure you remain within set limits.

For detailed instructions and to adjust settings, please visit your account settings and usage limits section.

Additional Considerations:

• If using the same phone number for multiple accounts, note that free credits are typically allocated only to the first account created.
• After upgrading, consider adjusting your usage limits to prevent unexpected charges. Set both soft and hard caps on spending according to your needs.

Immediate Actions:

• If you recently upgraded and still face issues, delete any old API keys and create a new one for the updated account settings to take effect.

The post [Fixed] Error Code 429: Quota Exceeded appeared first on Be on the Right Side of Change.