Tag: AI

  • The Only Prompting Skill You’ll Ever Need: Meta-Prompting

    The Only Prompting Skill You’ll Ever Need: Meta-Prompting

    Introduction

    This AI world is crazy—every day, something new pops up, and the pace shows no signs of slowing down. Everyone’s scrambling to figure out how to use this “new” technology to its fullest potential. And while these tools are absolutely game-changing, keeping up can feel like a full-time job.

    To make it even trickier, we now have multiple AIs, each with its own quirks and preferences for how it likes to be prompted. One model might thrive on detailed instructions, while another shines with brevity. It’s enough to make your head spin.

    The solution I’ve found to be the most helpful? Meta-prompting.

    What Is Meta-Prompting, and Why Does It Matter?

    Don’t know how to prompt the AI? Just ask it—it’ll tell you. That, in a nutshell, is the essence of meta-prompting: using AI to improve how you interact with AI. It’s simple, effective, and, most importantly, takes your prompting game to a whole new level.

    The best part? You can give any AI a half-baked prompt, ask it to refine or improve it, and voilà—you’ve got yourself a polished prompt ready to work with. It’s like having a personal tutor for crafting the perfect input, and all it takes is a little direction to get started.

    Here’s why this matters: when the next shiny new LLM drops (and changes the world yet again), you won’t have to spend endless hours learning its quirks. Instead, you’ll just toss it a rough idea, and the AI itself will guide you by showing what it needs to deliver the best results.

    So why overthink it? Let the AI teach you how to prompt it—what information it needs, how it interprets your goals, and even how to optimize your request for future use. Meta-prompting is your shortcut to efficiency and mastery, no matter how fast the AI landscape evolves.

    The Fast-Changing AI Landscape

    Why Different AI Models Need Different Prompts

    So, you’ve crafted the perfect prompt for ChatGPT—it delivers almost exactly what you want every time. Feeling confident, you try the same prompt in Gemini… and the output sucks. Does this mean Gemini sucks? No, not at all. It just operates differently.

    Gemini, for instance, might require a little more context or detail to produce the results you’re looking for (at least in my experience). But why is that? The answer boils down to a few key factors. While there’s a lot more to it, here are the most important reasons why different AI models respond differently to prompts:

    1. Different Architectures, Different Training Data
      • Just like any other software, different companies develop AI models in unique ways.
      • For example, Google, Microsoft, and OpenAI each gather and train their models using different datasets and methodologies. This naturally leads to differences in how their AIs understand and respond to prompts.
      • The result? While ChatGPT might excel at conversational creativity, Gemini could shine in areas like precise data analysis.
    2. Context Understanding and Output Goals

    Each AI model has its strengths and priorities:

    • ChatGPT: With its long context window, it often emphasizes creativity and user-defined instructions.
    • Claude: Focused on producing helpful, safe, and balanced outputs.
    • Gemini: With an even longer context window it tends to prioritize information accuracy and is especially good at analyzing and interpreting data.

    This means that the same task, like writing a blog, might work better with GPT for its creativity, whereas tackling a complex dataset would likely be Gemini’s strong suit.

    Matching Prompts to Models

    If your task is creativity-focused, such as drafting a blog post or brainstorming ideas, GPT is likely to excel. On the other hand, if you’re sitting on a mountain of data and trying to extract meaningful insights, Gemini is probably the better choice.

    The lesson here? The AI doesn’t suck—it just ticks differently. By tailoring your prompts to each model’s unique strengths, you can unlock their full potential and get the results you need, no matter which LLM you’re working with.

    The Core Benefits of Meta-Prompting

    At first glance, it might seem confusing—you have to adapt your prompts to each LLM’s quirks, and there’s a lot to keep in mind. But fear not, our friend meta-prompting is here to save the day.

    Meta-prompting brings some serious advantages to the table, making it the ultimate tool for navigating the complex world of AI. Here are just a few of its key benefits:

    1. Works the Same Across All LLMs
      No matter which LLM you’re using—GPT, Claude, Gemini, or the next big thing—meta-prompting functions the same way. You ask the AI to help refine or improve your prompt, and it will, regardless of the platform.
    2. Tailored to Each Model’s Strengths and Weaknesses
      Meta-prompting ensures accurate results because the AI effectively tailors its guidance to its own architecture. It helps you navigate differences in context, creativity, and focus without having to memorize each model’s quirks.
    3. Future-Proof
      New AI model just dropped? No problem. Meta-prompting is your future-proof solution. The new model will simply tell you what it needs or prefers, eliminating the guesswork.
    4. Works for Any Task
      Whether you’re writing a blog, analyzing data, creating a strategy, or automating workflows, meta-prompting has your back. Ask the AI to improve your prompt, and it likely will—making your task easier and faster.
    5. Output-Driven Prompting
      Got a specific output in mind? Work backward. Tell the AI the desired result, and ask it to guide you on how to prompt it to achieve that goal. It’s like having a built-in assistant that knows exactly what you need.

    Whatever you’re doing—whether it’s building a prompt library or crafting reusable prompts—it’s worth taking the extra time to refine the prompt itself. And there’s no better partner to help with that than the AI itself.

    No matter how much the world of AI changes in the future, one thing will remain constant: we’ll always need to talk to these systems effectively. With technology evolving at breakneck speed, meta-prompting is the only way I’ve found to stay future-proof.

    (Have another method? Let me know in the comments!)

    How to Build a Meta-Prompt (Step-by-Step Guide)

    When it comes to building a meta-prompt, I like to keep things simple. Why? Because I need a low-overhead solution that works pretty much everywhere. The simpler it is, the more likely it will work across different tools and use cases.

    Here’s the straightforward process I use:

    1. Define the AI’s Role
      Tell the AI that it’s a Prompt Engineer, specializing in creating prompts for the specific model you’re using (e.g., ChatGPT, Gemini, Claude, or any other LLM).
    2. Specify the Desired Outcome
      Be clear about what you want. If your goal is an SEO-optimized blog post, tell the AI:
      “I want a prompt for generating an SEO-optimized blog post.”
      The more specific your request, the better the AI’s response will be.
    3. Instruct the AI to Ask Questions
      Prompt the AI to gather the necessary details to craft the perfect prompt for your task. For example:
      “Ask me whatever you need to create the most effective prompt for this.”
      This step helps ensure the AI has all the information it needs to tailor the prompt to your needs.
    4. Iterate Until Satisfied
      Answer the AI’s questions and review its responses. Keep refining the prompt until it aligns with your desired outcome. Don’t hesitate to test it multiple times and tweak as needed.

    Testing Your Meta-Prompt

    Once you’ve built your meta-prompt, it’s time to test it:

    1. Copy the generated prompt and run it in a new chat window. This ensures that you’re working with a clean context.
    2. Test the prompt several times to confirm that the output is consistent and meets your expectations.
    3. If issues arise, note what’s wrong and update the meta-prompt accordingly.

    Fixing Issues

    Not sure how to fix a problem? No worries—just ask the AI for help:

    • Share the current prompt along with the problematic output.
    • Explain what’s wrong with the result.
    • Ask the AI to adapt the prompt to address the issue.

    Repeat this process until you’re satisfied. It’s that simple.

    Meta-prompting is all about continuous improvement. The more details you provide upfront, the fewer iterations you’ll need. And even when things don’t go perfectly on the first try, the AI can guide you toward the solution.

    By following this process, you’ll have a reliable, repeatable way to build prompts that consistently work, no matter the LLM.

    Meta-Prompting in Action: Practical Use Cases

    Every prompt can be meta-prompted as soon as you want to reuse it—this is the perfect use case for meta-prompting. Here are some examples of how I personally use meta-prompting:

    1. Writing Content (Like This Very Blog Post)
      • I use a custom GPT for blog writing, but it all started with a prompt. Meta-prompting helped me refine that initial prompt into one that matches my style and goals. Now, it’s a reliable tool for drafting blog posts quickly and effectively.
    2. Building Custom GPTs
      • The GPT builder itself is essentially one big meta-prompt. It asks you questions, gathers the necessary information, and builds the custom GPT for you. It’s meta-prompting in action, guiding you step-by-step to create the perfect tool.
    3. Writing Product Descriptions
      • In my e-commerce business, I use a prompt for writing product descriptions. Meta-prompting allows me to adapt this core prompt for each product, doing the heavy lifting in a one-shot format while maintaining flexibility and relevance.
    4. Writing Professional Emails
      • I recently built a prompt for professional emails. It includes all the necessary company information and a structured template for crafting well-written, professional messages. The best part? ChatGPT guided me through the process of refining this prompt. Now it’s nearly perfect, and I plan to turn it into a custom GPT for repeated use.
    5. Data Analysis
      • I work with CSV files exported from our ERP system in my e-commerce company. Using Gemini, I created a prompt to reformat these CSV files and generate summaries. Meta-prompting was key to fine-tuning this prompt so it delivers exactly the information I need in a consistent and structured way.

    This list could go on and on because I love the process so much that I’m constantly using it to create reusable prompts. Why wouldn’t I? If a prompt is worth saving for future use, it’s worth spending a few minutes improving it. With meta-prompting, you can ensure your prompts evolve into powerful, reliable tools that save time and effort in the long run.

    Future-Proofing Your AI Skills

    As already mentioned, staying up to date with all the changes every time a shiny new model drops is cumbersome. But here’s the beauty of meta-prompting: you don’t need to keep up with every little detail. Instead, you simply ask the AI how to prompt it—and it will tell you. It can even suggest what tasks it’s best suited for.

    That said, be cautious. In my experience, AI models tend to “sell” themselves as the best solution, highlighting their strengths while glossing over their weaknesses. To get a truly objective understanding, you might need to dig deeper. For example, when asking Gemini to compare itself to ChatGPT, it will naturally emphasize its strengths, like data analysis and structuring, while sidestepping areas where it might fall short. With a few follow-up questions, though, the truth becomes pretty clear.

    In other words, meta-prompting is a universal skill—and one that will (hopefully) stay relevant for years to come. It’s not tied to a specific model or a specific set of capabilities, which makes it a flexible and future-proof approach.

    This is especially important as multimodal capabilities like image, audio, and video become more common. Each mode of input/output comes with its own nuances, quirks, and ideal phrasing. Meta-prompting makes navigating these complexities easier by letting the AI guide you through its own preferences and limitations.

    Whether you’re exploring the newest AI tools or working with tried-and-true models, meta-prompting is your secret weapon for staying adaptable, efficient, and ahead of the curve.

    Conclusion

    Meta-prompting is the one prompting technique that has the potential to stay relevant for a long time. With the rapid changes in AI capabilities, asking the AI itself to provide guidelines on how to prompt it remains the most reliable and adaptable skill you can have.

    No matter which direction AI evolves—be it better text generation, stunning image creation, or advanced video and audio capabilities—meta-prompting allows you to learn and adapt quickly. Want beautiful images? Ask the AI for examples and iterate. Want better videos or audio? Ask it what phrasing works best to describe what you’re looking for and get a sense of what it expects. It’s a universal approach to mastering any AI tool.

    For me, meta-prompting is an essential skill for anyone working with AI in 2025 and beyond. It’s the key to staying efficient, adaptable, and productive, no matter how the landscape evolves.

    What do you think? Are there better ways to work with AI? Let me know in the comments!

    Stay tuned for more AI tutorials, how-tos, and insights from a human trying to leverage these tools in business—without losing his sanity along the way. 🚀

  • From Bullet Points to Descriptions: Chain of Thought Prompts in Action

    From Bullet Points to Descriptions: Chain of Thought Prompts in Action

    Introduction

    So, what is this “Chain of Thought Prompting”? It’s a fancy term for breaking down a complex task into smaller, manageable ones and guiding the AI step by step along the way. Think about how this blog post is being written—you brainstorm a title first, then outline the structure, and finally, you write each section piece by piece. That’s chain of thought prompting. You’re using the context of what’s already done to guide what comes next, ensuring the AI delivers the output you’re aiming for.

    Writing product descriptions is something I deal with regularly, and it can be tricky. So today, we’re going to learn together how to use chain of thought prompting to create perfect Amazon Bullet Points, craft compelling descriptions, and even brainstorm ideas for info-graphics that tie everything together seamlessly.

    Amazon is just the example for today—you can use this approach for any content, text, or project that feels a bit complex. And since I recently bought myself a Garmin Epix Pro Smartwatch, that’s the product we’ll be using as our example.

    Let’s get rolling.

    Starting Small: Creating Amazon Bullet Points

    Alright, first things first—we need some bullet points. These are the main selling points of our product, and they’re one of the most critical parts of a listing.

    Before jumping into writing, let’s take a step back and collect the data. What are the most important parts of a listing? When I start writing a new description, I like to prepare a quick outline of key points that will provide the AI with context about what we’re writing. Think of this as a cheat sheet for the AI.

    Disclaimer: I’m keeping it simple here, and I might miss a unique selling point (USP) or two. In a real-world scenario, I’d spend more time researching to ensure every detail is covered. Remember, the more information we give the AI, the better the output.

    To make this reusable and easy to understand, I’ll divide the prompt into headings. (And I’ll share a Google Doc with all of this later, so you can adapt it for your own product, service, or whatever complex task you’re tackling.)

    Product Info

    • Name: Garmin Epix Pro Gen2 47mm Smartwatch
    • Brand: Garmin
    • Category: Smartwatch
    • Description: High-quality smartwatch
    • Unique Selling Points (USPs):
      • Up to 16 days of battery life in smartwatch mode
      • Up to 30 hours of battery life in GPS mode
      • 24/7 health and wellness monitoring
      • AMOLED Display
      • SatIQ technology and multi-band GPS
      • Bright LED flashlight
      • Additional Features: Touchscreen, Time Display, Bluetooth, Gesture Control, Multisport Tracker, Text Messaging, Activity Tracker, Alarm Clock, GPS, Notifications, Stress Tracking, Contactless Payments
    • Dimensions: Screen size 47mm

    Instructions

    1. Each bullet point should be a maximum of 250 characters.
    2. Use an engaging and professional tone that resonates with the target audience.
    3. Highlight the benefits and unique selling points (USPs) of the product.
    4. Address specific problems and needs of the target audience.
    5. Structure the bullet points so that the most important information comes first.

    Task

    Generate five bullet points for Amazon that promote a high conversion rate. These bullet points should:

    • Highlight the specific benefits, technical features, and unique selling points of the Garmin Epix Pro.
    • Use persuasive language that appeals to both emotional and rational buying motives.
    • Be clear, precise, and sales-oriented.

    AI Persona

    You are a skilled E-Commerce Marketing Expert specializing in crafting persuasive, high-converting content for online product listings and promotional materials. Your expertise includes:

    • Writing engaging product descriptions and bullet points optimized for platforms like Amazon.
    • Highlighting unique selling points (USPs), key benefits, and technical features that resonate with target audiences.
    • Brainstorming and creating visually appealing and compelling content ideas for info-graphics and digital promotional campaigns.
    • Using a blend of emotional appeal and rational persuasion to address customer needs and pain points.
    • Ensuring all content aligns with the product’s brand voice and marketing goals while adhering to platform-specific guidelines.

    That’s our prompt! Just copy-paste it into an AI with a big enough context window (like Gemini or ChatGPT), and let it rip. Watch as it generates persuasive, high-converting bullet points in seconds.

    Now go on with evaluating and iterating. Check if everything is covered—if something doesn’t sit right, ask the AI to change it until you’re happy with the result.

    Now, here’s the fun part: I didn’t come up with the persona description myself—I asked the AI to create it for itself. If you’re unsure how to write a prompt, just tell the AI what you want it to prompt about, or paste your version and ask the AI to make it better.

    Expanding to the Product Description

    Alright, now that we have our bullet points, we can keep the chat open and move on to the next step: crafting the product description.

    If you’ve read my previous post, you’ll notice that we’re following the same pattern as always: Task, Context, References (not needed in this case), Evaluate, and Iterate. This pattern keeps things simple and consistent, and it’s exactly what we’ll use for the next part.

    For the description, we want to keep the context open so that it feels like a continuation of the bullet points. This ensures everything fits together neatly and flows naturally. In practical terms, this means we don’t need to rehash details the AI already knows—such as the AI Persona or product information—because, if the AI’s context window is big enough, it will still “remember” those details.

    Here’s an example of what our prompt might look like:

    Instructions

    1. Length: Approximately 2000 characters.
    2. Structure (not headings): Introduction, Benefits, Target Audience, Details, Call-to-Action.
    3. Tone: Clear, friendly, and direct, with a focus on problem-solving and building trust.
    4. Call-to-Action: End the text with a strong purchase appeal emphasizing product benefits.
    5. Use vivid language to highlight practical benefits and advantages.
    6. Incorporate keywords to optimize the text for SEO.

    Prompt:

    Based on all the information you have—such as Product Info, Bullet Points, and general style—generate a description for Amazon aimed at increasing sales by improving the conversion rate.

    Keyword Phrases:

    • “Best GPS smartwatch for adventure.”
    • “Premium fitness tracker with AMOLED display.”
    • “Smartwatch with long battery life for outdoor enthusiasts.”

    If we’ve done a good job with the previous step, this part should flow seamlessly. The AI can reuse the knowledge we’ve provided, maintain the context, and deliver a result that aligns perfectly with the bullet points.

    Quick Reminder: The keywords and information here are just placeholders—I didn’t do detailed research on this product or conduct any keyword analysis. If this is the product you’re actually trying to sell, do your research! A solid foundation makes a huge difference in creating a high-converting product description.

    Taking It Further: Beyond the Description

    Once you’ve evaluated and iterated on the product description until it’s perfect, you can keep going—all within the same context. This is where things get exciting.

    For example, you could ask the AI to come up with ideas for info-graphics or other forms of visual communication. Honestly, I’ve been surprised more than once by the creativity of its suggestions. Even if it doesn’t give you a final design, it’s great for getting inspiration and sparking your own ideas.

    Here are a few other ways you could expand on what you’ve already created:

    1. Banner or Landing Page Ideas:
      Use the AI to generate taglines, hero section ideas, or even full-page layouts. Want to brainstorm catchy phrases or unique selling points to highlight in a landing page? The AI can help you refine those in no time.
    2. Blog Post Creation:
      You’ve already provided the AI with a wealth of information in the context window. Why not ask it to reformat your product description into a blog post? Start with an outline and let the AI adapt the content, expanding on the details in a format tailored for blog readers.
    3. Social Media Campaigns:
      Turn your product description and bullet points into engaging posts for social media. You can also ask the AI for ideas to create short-form content like reels, tweets, or TikTok captions. This could be anything from product highlights to how-to-use scenarios.

    The Power of Repurposing

    The beauty of keeping all your information in the same context window is that it’s easy to reformat and re-purpose. Whether it’s for info-graphics, banners, blogs, or a full marketing campaign, just tell the AI what you want to create and let it guide you.

    The key here is iteration and inspiration—you’re not just relying on the AI to do all the work but using it as a creative partner to get started and refine your ideas.

    The Secret Sauce: Iteration and Guidance

    From what I’ve noticed, guiding the AI with a Chain-of-Thought process—starting small, building on previous outputs, and iterating—yields some of the best results. Iteration is where the magic happens.

    Think of yourself as the pilot of a ship: you’re steering the AI, making course corrections, and providing the input it needs to deliver exceptional outputs. When something doesn’t fit, rework it. Add your own ideas. Tweak the prompt and try again. This process not only ensures the results align with your vision but also makes them uniquely yours.

    These days, everyone seems to be searching for shortcuts. Just look at YouTube—videos about AI that get the most clicks are often the ones promising to “automate everything completely.” But here’s the thing: if you remove the human element—the evaluation, iteration, and repurposing—your outputs will likely be mediocre at best.

    When you actively guide the AI, step by step, improving and iterating along the way, your results will stand out. Why? Because you’re constantly adapting and refining the output to better suit your needs. This way, your final product isn’t just “okay”—it’s exceptional.

    Conclusion: Is AI the Promised Land That Will Automate All Our Jobs?

    No, not at the time of writing this article. In my opinion, we’re not as close to full automation as marketing might try to sell us.

    That said, AI is incredibly powerful and works best when guided by a human with a clear vision. The more I use AI, the clearer it becomes: its true power lies in collaboration—not in blindly generating everything without a second thought.

    If you embrace this technology and use it as your sidekick—your editor, coach, or brainstorming partner—while iterating, evaluating, and building on the context you provide, AI really shines. It can handle complex problems, save you time, and help you focus on the creative, meaningful parts of your work.

    AI is here to stay. So let’s embrace this exciting new technology and incorporate it into our lives to automate the boring stuff and make space for the things that truly matter.

    Thanks for reading, and stay tuned for more!

  • Automate Yourself Out of a Job – Step One – Learn the Prompt

    Automate Yourself Out of a Job – Step One – Learn the Prompt

    Introduction

    Everybody and their mother is talking about AI these days. Will it take our jobs? Honestly, I say: great! Let AI take all the boring stuff I don’t want to do anyway.

    Now, before you think I’ve lost my mind, let me clarify: I’m a co-owner of an e-commerce store. And, like most small business owners, my day-to-day is filled with tasks I’d rather not touch—but someone has to do them. I can either hire people (which we currently don’t have the budget for) or grind through them myself. Spoiler: I’ve been wearing my big-boy pants and doing the grinding.

    But here’s the thing: I don’t want to grind forever. My dream is to grow this company into a giant, profit-churning machine. Until that day, I’ve got two options:

    1. Accept that these tasks are my life until we hit the big leagues.
    2. Automate the living hell out of my company.

    Guess which one I’m picking?

    That’s right—automation all the way. Either I’ll fully automate most of the boring stuff I do now, or at least partially automate it so I can finish faster or hand it off to someone else without a second thought.

    So, in the spirit of New Year’s resolutions, I’ve decided that 2025 will be the year I automate everything that makes sense to automate. And I’m documenting the whole journey for the internet because… why not?

    Here’s the thing I’ve learned after using AI for about a year in my business: everything starts with a prompt. If you don’t know how to talk to AI, you’ll struggle to get meaningful results. That’s why step one of my automation journey is all about mastering the art of prompting. Let’s kick things off by demystifying how to talk to AI and building a rock-solid foundation for everything that comes next.

    What Is a Prompt, and Why Does It Matter?

    The prompt is basically what you tell the AI—simple as that. Open a ChatGPT window, type something into the chat box, and boom: that’s your prompt.

    But why does it matter? Think of it this way: imagine the AI is a real person, and you need something from them. What do you do? You explain what you want. Clear communication is key.

    Here’s the catch: AI isn’t a person—it’s a machine. It doesn’t inherently understand nuance or context unless you explicitly provide it. The better you communicate, the better your results. The more context you give about the task, the higher the quality of the output you’ll get.

    It’s a simple concept: the quality of what you put in directly impacts the quality of what you get out.

    Tips for Writing Better Prompts

    To get the best results, there are a few key things to keep in mind:

    1. Be Specific About What You Want
      Start by defining your goal. I like to call this the “done state.” What does the finished product look like? For example, if you’re asking the AI to write an email to a client, your done state is a ready-to-send email that you can copy and paste.
    2. Provide Context
      The AI needs to know the “who” and “why” behind your request. Who is the email for? Why are you writing it? The more details you provide, the more tailored the response will be.
    3. Give It a Persona
      AI works better when you tell it who it’s acting as. In the email example, you might ask it to act as you. Tell it who you are, your tone, and anything else relevant to your “voice.”
    4. Specify the Format
      Want a list? A table? A formal email? Tell the AI exactly how you want the information presented. The clearer your instructions, the more accurate the output.

    When you provide all these details—your goal, context, persona, and format—the AI knows what you expect, and the chances of getting a great output increase dramatically. Without this information, your results are a gamble: sometimes good, sometimes way off.

    The Building Blocks of a Good Prompt

    One thing upfront: I don’t think the order of these steps makes a big difference. Depending on your thought process, you can adapt the framework and go with what works best for you. That said, here are the key elements to building a solid prompt:

    Give it a Persona

    I like to start by giving the AI a persona. Think of it as an actor, and you’re the director telling it what role to play. For example, you could say:

    • “You are the General Manager of a Fortune 500 company.”
    • “You are a Marketing Content Creator specializing in email campaigns.”
    • “You are a Chef crafting a menu for a Michelin-starred restaurant.”

    By defining a role, you set the stage for the AI to approach the task with the right perspective.

    Be Specific About What You Want

    Now, tell it exactly what you want it to do. Don’t just say, “Write an email.” Be clear about what kind of email and how it should look.
    For example:

    • “Write an email inviting [recipient] to a meeting on January 20, 2025, at 4:00 PM.”

    The “done state” is clear: a written email with a suggested meeting.

    Provide Context

    Once the AI knows its role and the task, give it some background.
    For example:

    • Who is the email for—a colleague, a client, or a potential partner?
    • Why are you sending this email? Is it to schedule a meeting, close a deal, or introduce yourself?
    • How formal or casual should it sound?

    Context is the glue that holds the task together, ensuring the AI’s response is relevant and aligned with your expectations.

    Specify the Format

    How should the output look?

    • Do you want a simple block of text?
    • A list of meeting date options?
    • A table summarizing key points?

    For example, you could say:

    • “Create a bullet-point summary of the last meeting’s discussion.”
    • “Include a table of suggested dates and times for the meeting.”

    Reference Existing Work

    This step isn’t always necessary, but it can be a game-changer when it is.

    • If you have a reference email, paste it into the prompt. For example: “Here’s a sample email I like. Format the new email similarly.”
    • If you’re creating something like a product description, you could share a well-written description as a guide.

    References give the AI a benchmark to emulate, which can dramatically improve the quality and consistency of the output.

    Structure Your Prompt Clearly

    Lastly, structure your prompt so it’s easy to read and understand—both for the AI and for you if you come back to it later.

    • Use Markdown or a simple format with headings and sections.
    • Clearly separate references or context from instructions.

    Why does this matter? A blob of unstructured text is confusing for the AI and frustrating for you to revisit. Clean formatting makes prompts reusable and easier to tweak.

    With these building blocks, you can craft prompts that set the AI up for success, giving you better and more consistent results. A little extra effort upfront saves a lot of time (and frustration) later on.

    Iterating for Success

    Now, for my absolute favorite part: iteration.

    Some modern large language models (LLMs) have pretty big context windows, which means they can “remember” a lot more information within a single conversation. One of the best ways to use this is for iteration—refining outputs step by step until they’re just right.

    Let’s say you’ve crafted your nearly perfect prompt, but something is still missing in the output. What should you do? You could go back and tweak the original prompt and try again—especially if you’re planning to save it for future use. However, my go-to approach is to iterate directly within the same chat.

    What Is Iteration?

    Iteration is simply the process of asking the AI to refine or adapt its output based on your feedback.

    • Did it write an email, but leave out a key detail? Ask it to add that detail.
    • Want the tone to be more professional—or maybe throw in a joke? Tell the AI to rewrite it with those changes.
    • Need it formatted differently? Ask for a bullet-point summary, a table, or whatever you need.

    The key here is to keep the chat window open and use the same context. You can go through this process as many times as needed until the output meets your expectations.

    Get the AI to Teach You

    If you had to iterate a lot, here’s a pro tip: ask the AI to generate a “perfect prompt” based on the final version of the output.

    • This gives you a better idea of what you could have done differently in the original prompt.
    • You can also save this AI-suggested prompt for future use.

    Let the AI teach you how to better talk to it—it’s like a built-in feedback loop!

    A Word of Caution: Always Evaluate

    Never send out AI-generated content—emails, reports, or anything else—without reviewing it first.

    • Always fact-check the details. AIs can hallucinate or add incorrect information.
    • Carefully review the tone and content to ensure it matches your expectations.
    • Triple-check everything before hitting “send.”

    Iteration is powerful, but human oversight is critical to make sure the output is accurate and aligns with your goals.

    By iterating within the same context and refining as you go, you can take AI-generated content from good to great—and, in the process, become even better at crafting effective prompts for next time.

    Conclusion

    How does all this help in automating myself out of a job? Honestly, not that much—yet. I still have to do a lot myself. But it does speed me up, and more importantly, it’s the foundation for everything that follows. Without mastering the prompt, the rest of the journey wouldn’t be possible.

    Now that the first step is done, it’s time to take a specific part of my job and figure out how to make it as fast and organized as possible. Stay tuned—I’ll be documenting that process here, too.

    If you haven’t already, try this out for yourself. It might seem overwhelming at first, but it’s really not. I don’t even think about all the steps anymore—I just keep the basics in mind, write my prompt, and iterate as needed. Whether it’s for repeatable tasks or one-off content, the key is to start and refine as you go.

    As with everything, if the basics are sound, the rest becomes much easier. So go out and test, test, test. The age of AI is here to stay. Jump on the train now, and you’ll be ahead of the game. Wait too long, and you might get left behind.

    See you next week (hopefully)!

  • Dirty Writing Meets AI: My Workflow for Faster, Better Content

    Dirty Writing Meets AI: My Workflow for Faster, Better Content

    Introduction

    What the Hell is “Dirty Writing” and Why Should You Care?

    TL;DR: Just write whatever comes to mind; however, it flows—typos and mistakes don’t matter. Let the brain-vomit flow freely. That, my friends, is pure creative energy. That’s the essence of you—not the neatly typed, fifty-times-proofread thing. No, it’s the raw, unfiltered version of your thoughts. The messy, chaotic, who-cares-about-grammar version.

    Dirty writing isn’t about perfection; it’s about getting your ideas out without overthinking. Grammar? Structure? Who cares? No one’s going to read this stage anyway. It’s meant to be messy and creative, giving your ideas the freedom to flow without worrying if it “makes sense.”

    So What Does This Have to Do with AI?

    For me, this approach has been game-changing. And with a little help from AI, I can write without feeling ashamed of typos or spending hours tweaking sentences. Because that’s where AI comes in.

    Here’s the thing: AI is, by its nature, artificial. It’s not human—it doesn’t truly understand the words it generates. It’s just trained to produce outputs that sound and look right (and let’s be honest, sometimes they’re not).

    When people rely on AI to hammer out content, you can see it, you can feel it—there’s no person behind those words. Sure, it’s easy to churn out several blog posts a day by letting AI do all the work, but the result? Pretty soulless. Mediocre, even. If mediocrity is the goal, go for it. But think about it: where’s your worth as a person in that? Everyone can do it—it’s not that hard.

    That’s where dirty writing comes together with AI. You write the majority of what appears on the page, raw and unfiltered. Then AI steps in to refine, tweak, and maybe add a little extra polish. The result? Content that still feels like you. It’s authentic, human, and readers can tell the difference.

    The Dirty Writing Philosophy

    Imperfection is king—we are imperfect beings. Our thoughts aren’t neatly organized; they’re messy. And that’s where creativity is born. Why are kids so creative when they play? Because they don’t care about structure or rules most of the time. They just do whatever comes to mind, whatever seems fun. If something doesn’t work, they toss it and jump straight to the next idea, constantly creating new games, adapting old ones, and experimenting with what feels right.

    We learn best when we’re playful with what we do. Anyone with kids knows this. Experimenting, diverging, and just blurting things out without a filter is how kids grow and understand the world. And yes, sometimes it stings, like when you hear: “Daddy, why are your teeth so yellow?”—straight to the point, no sugarcoating.

    And that’s the essence of dirty writing. You make mistakes. You let the chaos spill onto paper (or a screen, or whatever). Think about a topic and stop trying to be so damn professional. Play with your words, write silly jokes (all the stupid little jokes in my content? Yep, those are all me). Be more like a kid spinning a story out of thin air with the information they have. If you wander too far off course, adapt the content a little—but leave the grammar, punctuation, and structure for the AI to handle in the first run. No worries, you can (and should) still review everything AI refines, make changes, and give it the final polish.

    So, in essence, dirty writing is simple: write as fast as you can, as much as you can, about whatever comes to mind. Go with the flow, pause to think for a moment if you must, but don’t overdo it. Write down what feels like a good idea at the moment. That’s dirty writing for you—unfiltered, raw, and full of potential.

    The Workflow: From Chaos to Clarity

    Let’s break it down, step by step. For this example, I’ll use this very blog post. I’ll skip over the “let’s find the topic to write about” stage, as brainstorming with AI deserves its own post. So, we’ve got our topic. That’s a start—but dirty writing works best when you give it a little structure first.

    1. Start with a Structure

    The first thing I do is prompt the AI to suggest a structure. If it feels right, great—go with it. If not, tweak it yourself. And here’s the key: if you make changes, tell the AI what you adjusted and why. This helps it understand how to structure your content and where you want it to go. Think of this as setting the stage before you dive into the messiness of writing.

    2. Write Dirty

    Now it’s time to get to work. Take the introduction (or whichever section you’re tackling) and just start writing whatever comes to mind. Feeling stuck? Ask the AI for ideas or topics that could go into the section. But remember, this stage is all about chaos. It should sound stupid. It should be messy, full of mistakes, and completely unpolished. That’s the whole point of dirty writing: let your ideas flow without judgment.

    3. Let AI Refine

    Once you’ve written your dirty draft, hand it over to the AI. Tell it:
    “This is my dirty writing. Please refine it, fix the structure, but keep my personality in the text. I want this to still feel like my content.”

    And boom—you’ll have a cleaner version ready to work with.

    4. Review and Iterate

    But hold on, you’re not done yet. AI has a tendency to hallucinate—it might add details that aren’t accurate or misunderstand your intent. That’s why you need to review everything.

    If a sentence doesn’t hit the mark, copy it back into the AI, explain what you meant, and ask it to fix it. Be clear about your point, adapt some things yourself, and give it the final polish. This iterative process ensures the result is not just good but truly yours.

    5. Rinse and Repeat

    Okay, now you’re done with just the intro—what’s next? Move on to the next part. Keep everything in the same chat, so the AI has context to work with. Be mindful that the AI’s context window (how much it remembers in the conversation) might have a limit. Some AIs handle longer context better than others—ChatGPT 4o is great, but I’ll soon be experimenting with Gemini and others to see what works best for me. (Stay tuned, I’ll document everything here!)

    As you continue, you may notice that your content starts to deviate from the structure. When that happens, take everything you’ve already written (like the first two parts) and ask the AI to adapt the outline, not the content. Remember: we’re dirty writing. Our minds give us direction, and the AI gives it structure and grammar, so others can understand what the hell we’re trying to say.

    Keep repeating this process—write, refine, adapt, and iterate—until your content is complete.

    Why This Works

    Dirty writing frees your mind to focus on creativity, while AI handles the structure and polish. Together, they save time and let you produce content that’s both authentic and high-quality. By keeping the workflow flexible, you stay in control, adapting as you go and ensuring the final result remains yours.

    Example: Dirty Writing + AI in Action

    Let me show you how this workflow plays out using a part of this very blog post. I’ve shortened the original dirty writing to keep the example concise, but the process remains the same.

    The Dirty Draft

    First, I write my thoughts quickly and without worrying about grammar or structure. It’s messy, but it captures the essence of what I want to say. As a non-native English speaker, my dirty writing is really dirty—but that’s the point: it’s all about getting the ideas out, not making them perfect.

    “””
    My Dirty writing for: The Workflow: From Chaos to Clarity

    Lets work it through, step by step. As an example I will take this very Blog post and jump over the “lets find the topic to write about” stage – as the brainstorming with AI in itself deserves its own post. So we have the topic, that’s not much, just writing dirty still works but I like to give it first a little structure, so we prompt the AI to give us a structure, if you are ok with it, great – if not than change it, but if you do change it yourself tell the AI that, so it knows how to structure your content and where you want it to go.
    …
    “””

    The AI’s Refinement

    Next, I hand the dirty draft to the AI, asking it to refine the structure while keeping my voice and ideas intact. Here’s the refined version:

    “””
    Let’s break it down, step by step. For this example, I’ll use this very blog post. I’ll skip over the “let’s find the topic to write about” stage, as brainstorming with AI deserves its own post. So, we’ve got our topic. That’s a start—but dirty writing works best when you give it a little structure first.


    1. Start with a Structure

    The first thing I do is prompt the AI to suggest a structure. If it feels right, great—go with it. If not, tweak it yourself. And here’s the key: if you make changes, tell the AI what you adjusted and why. This helps it understand how to structure your content and where you want it to go. Think of this as setting the stage before you dive into the messiness of writing.


    2. Write Dirty
    …
    “””

    Why This Works

    As you can see, the core ideas are still mine. The personality, humor, and direction are all intact—it just reads better. It’s as if I have a personal editor polishing my drafts, but the content remains authentically me.

    This process allows me to focus on creativity and expression without being bogged down by perfectionism. It’s still a lot of work, but much less than editing every single word myself. And here’s the best part: even without being a professional writer, I can now produce authentic, polished content.

    Yes, you could let the AI generate the entire thing by feeding it a few bullet points for each section—that’s faster, sure. But where’s the “you” in that? Taking the extra time to dirty write keeps your voice, your ideas, and your personality alive in the content.

    Going the extra mile isn’t that much work, and it is fun! You get to express yourself in your own words while the AI works its magic to turn it into a blog, email, or whatever you’re writing—all without losing you. I love it, and I think you will too.

    Conclusion: Try It Yourself

    Dirty writing paired with AI isn’t just a workflow—it’s a game-changer. It allows you to express yourself authentically, focus on creativity, and produce high-quality content without getting bogged down in perfectionism. By keeping the process messy and personal, you ensure that you stay at the heart of your content.

    So, why not give it a try? Pick a topic you’ve been meaning to write about, let the words spill out without overthinking, and then let AI refine it. Experiment with prompts, iterate on the output, and see how much time and stress you can save while keeping your unique voice intact.

    Whether it’s a blog post, an email, or even your next big idea—get started, and see what dirty writing and AI can do for you. Who knows? You might even have fun along the way.

    And hey, if you enjoyed this post, stay tuned—there’s plenty more to come on AI, tech, and productivity. Sign up for my no-bullshit weekly newsletter, where I share additional straight-to-the-point guides, tools, and thoughts on the topic of the week. It’s all about value—no fluff, no spam, just actionable insights to keep you ahead of the game.

  • How I Use AI to Supercharge My Work

    How I Use AI to Supercharge My Work

    Introduction

    AI is here to stay. It’s not just the future—it’s already here, usable, helpful, and my secret weapon for juggling three businesses, spending quality time with family, and staying healthy.

    In this post, I’ll share practical, real-world ways AI can boost productivity, spark creativity, and accelerate learning. These aren’t hypothetical use cases—they’re how I genuinely use AI every day, and it’s a game-changer if you know how to wield it.

    I’ll walk you through how I use AI for creative problem-solving, how it’s helping me learn to code (a work in progress), and how it keeps me sane while managing what feels like 20,000 things at once. So strap in, get focused, and let’s dive in.

    Why AI?

    When ChatGPT first launched, I was immediately intrigued. I dabbled here and there, but wasn’t really doing anything useful with it. Then, in April 2024, I shifted focus from one of my businesses—a POS agency—to our other “child,” an e-commerce store. That’s when AI went from being a fun experiment to an essential tool.

    Let me set the stage: we have a ton of Amazon listings (about 3,000, to be exact) and an online store that was, quite frankly, thrown together “on the knee.” The product descriptions? Well, let’s just say they were written by a couple of clueless guys (me and my business partner) who had zero understanding of SEO, keywords, or how to structure a good listing. We were basically listing products like a couple of crazy monkeys.

    Fast-forward to today, and I’m trying to fix this mess. Learning about SEO and keyword optimization has been eye-opening, but here’s the problem: I’m one person, and writing 3,000 well-optimized product descriptions by hand would take years. This is where AI comes in. Our product catalog is relatively uniform (we mostly sell cables), which makes it a perfect use case for AI to step in and help create structured, optimized content at scale.

    Another area where AI has been a game-changer is learning to code. If you’re a noob like me—with no friends, mentor, or anyone to ask for advice—AI is a godsend. Let me be clear: AI shouldn’t write the code for you, but it should write code with you. That’s where it excels. It helps you learn by building something useful, correcting mistakes, and explaining concepts as you go.

    And then there’s brainstorming—my third favorite way to use AI. Whether it’s writing a blog post, coming up with a business idea, or just bouncing thoughts around, AI is an incredible sounding board. By describing your idea in a prompt and asking for feedback or suggestions, you gain a fresh perspective. It validates your ideas, offers alternatives, and sometimes sparks entirely new ones. It’s like having a partner who’s read everything humans have ever written.

    Real-World Use Cases

    Why Use AI for Amazon Listings?

    AI excels at repetitive tasks, and it’s a lifesaver when you want to expand your reach. Let’s say you start with one product on Amazon, but eventually, you think, Man, maybe I should boost my sales by listing it on eBay or creating my own online shop.

    You could just copy-paste your Amazon descriptions, but there’s a catch:

    • Google doesn’t love duplicate content, and copy-pasting could hurt your search rankings.
    • Platforms like eBay and online stores have different formatting requirements than Amazon.

    For example, eBay’s product descriptions allow for HTML and CSS, meaning you can essentially create a mini webpage within the description. Most people (myself included) just buy a ready-made template and add their own pictures and text. But here’s the problem: your Amazon description might be too short, leaving the eBay template looking half-empty, or too long, making it look cluttered and out of place.

    This is where AI shines. Simply ask the AI to make your description shorter or longer, and voilà—you have a perfectly adjusted version. Of course, it’s crucial to proofread and adapt the output to make sure it fits your needs. But within minutes, you’ll have platform-specific descriptions ready to go, saving you hours of manual editing.

    Here’s how I do it:

    Give the AI all the info you have about the product. Ask it to make you five catchy bullet points for Amazon, focusing on unique selling points or advantages your product offers. Then, have it generate five more so you have options to choose from.

    Work through them one by one—pick the ones you like, adapt them yourself, or ask the AI to refine them further (e.g., “Add this,” “Remove that,” “Rephrase this”). By the end, you’ll have way better bullet points than anything I could have written solo.

    Do the same for the description. Go sentence by sentence, rewriting, adapting, and refining. Use AI to polish every part, and before you know it, you’ll have professional-grade content that’s optimized for each platform.

    AI Code Assistance: A Mentor in Your Pocket

    AI is like having a mentor in your pocket—always there to answer your questions, no matter the time. If you’re learning to code, like I am (and let’s be honest, there’s always more to learn), AI can be your most trustworthy partner.

    Imagine this: you’ve spent 20 minutes trying to figure out a bug in your function. Print statements everywhere, nothing’s working. Frustration is building. Fear not—your AI mentor is here. Just describe the problem, explain what you expect to happen versus what’s actually happening, paste the code, and boom. Nine times out of ten, you’ll get a solution or at least an idea that points you in the right direction.

    My Rules for Using AI While Learning

    Here’s the deal: if you’re new to coding and really want to learn the craft, you need to put in the work. AI can’t learn it for you—it can only help you along the way. So, follow these rules:

    1. Write Your Own Code
      You need to actually write your own code. If you’re a pro with 10 apps under your belt (and no, a calculator or to-do app doesn’t count), then sure—go ahead and use tools like Copilot to generate boilerplate code. But if you’re still learning, resist the urge. Writing your own code, bugs and all, is how you learn.
    2. Search First, Ask Later
      Don’t jump to AI for every little question. Spend at least 20 minutes searching the docs or Googling for the answer. This is how you build problem-solving skills and retain knowledge.
    3. Debug Like a Pig Searching for Truffles
      When you hit a bug, take the time to figure out what’s happening. Write down what you expect to happen versus what’s actually happening. Go through your code line by line. Spend 20–30 minutes (or even longer) trying to solve it yourself. That struggle is where the real learning happens. Only after you’ve tried everything should you turn to AI.
    4. Write All the Boilerplate
      Yes, it’s tedious. Yes, it’s boring. But until you’ve written it a thousand times and understand why it’s there, you shouldn’t automate it. Once you know the boilerplate inside and out, then—and only then—can you let AI take over.

    AI is a fantastic partner on your learning journey, but it’s just that—a partner. The newer you are, the less you should rely on it. Use it to guide you, to teach you, and to help you think, but don’t skip the hard work. That’s where the magic happens. Trust me, it’s worth it.

    Brainstorming: Lift the Storm in Your Brain

    I’ve got a ton of ideas—businesses, blog posts, a YouTube channel about everything from Linux to gaming, coding, and AI. But let’s be real: does every idea make sense? Hell no! That’s where your AI brainstorming buddy comes in.

    Here’s how to do it: State your idea, your goal, and your initial thoughts to the AI, and let it give you feedback. Sounds simple, right? But there’s a catch: AI is wired to be positive—it’s trying to be likeable. If it shot down every half-baked idea you tossed its way, you’d stop talking to it pretty quickly, wouldn’t you?

    So, here’s how to use it right. The real magic isn’t just in the AI’s feedback—it’s in the process of describing your idea. Writing it down forces you to think. It makes you clarify your thoughts, refine your idea, and see potential pitfalls or risks. AI might encourage you or even point out things you hadn’t considered, but ultimately, the vetting process is on you.

    Remember, you’re the operator, the driver. You already have the most powerful computer on the planet—your brain. Use AI to enhance the storm of ideas swirling in your head, adding some magic to help verify which ones are worth pursuing and which are better left on the drawing board.

    Examples of My Personal Brainstorming Sessions with AI

    1. Blog Post Ideas:
      Generating topics like “How I Use AI to Supercharge My Work” and outlining its structure.
    2. Business Positioning:
      Refining niche selection strategies and defining target audiences for products like extension cables.
    3. Product Optimization:
      Brainstorming approaches to improve Amazon listings and adapt product descriptions for multiple platforms.
    4. Coding Projects:
      Validating features and structuring ideas for web apps, like creating dynamic forms or managing persistent filters in Django.
    5. Personal Branding:
      Crafting taglines, such as “Serial Entrepreneur, Code Monkey, AI Enthusiast,” and brainstorming ideas for a logo and branding.

    Benefits of AI Tools

    Save Time

    No matter what you’re working on, having a sidekick to help you refine your ideas can be a game-changer. Here’s how I do it: I write down what I want to say, quickly and without overthinking—just a brain dump of everything that comes to mind. Then, I let AI step in to refine, reorganize, and make it readable.

    I’m no professional writer (duh), and English is my third language (double duh), but that doesn’t stop me from creating something worth reading. The AI helps me turn my messy drafts into something polished, saving me hours of editing while still keeping my voice intact.

    This approach isn’t just for blog posts—it works for emails, product descriptions, or even meeting notes. Write fast, let AI clean it up, and move on to the next task without wasting time on perfectionism.

    Boost Creativity

    Need to prepare a presentation but don’t know where to start? Staring at a blank page, trying to craft the perfect response to a client’s tricky email? Don’t panic—just start talking to your AI buddy. Even if the answers aren’t 100% perfect, the act of brainstorming with AI can loosen the knots in your head and get the ideas flowing. No more blank-page paralysis.

    Have several ideas for solving a problem but can’t decide which one to go with? Talk it through with AI. It won’t make the decision for you, but it can help clarify your thoughts, lay out the options, and sometimes even uncover ideas you hadn’t considered.

    Thinking about starting a newsletter for your clients but have no clue how to begin? Let AI give you a starting point. It might suggest a structure, topics, or even a first draft to get you on the right track. From there, you can tweak and refine, building on the foundation it provides.

    AI isn’t just a tool—it’s like having a creative partner who never gets tired or runs out of ideas. It’s not about perfection; it’s about momentum. Once you get started, the rest becomes easier.

    Accessible to Everyone

    AI empowers anyone to start creating, learning, and brainstorming—no matter their background or expertise. You don’t have to be a professional writer to produce a well-structured, good-enough outcome in a fraction of the time.

    Whether you’re crafting an email, writing product descriptions, or planning a presentation, AI can help you get started, refine your ideas, and even guide you through unfamiliar tasks. And the best part? It’s not limited to any specific profession—there are benefits waiting for everyone, from entrepreneurs to students, to uncover.

    But here’s the thing: like any tool, AI requires practice to use effectively. Prompting is a skill you have to learn. It takes a bit of trial and error to figure out how to phrase your requests and guide the AI to produce the results you’re looking for. Give it time, experiment, and you’ll quickly see how it can enhance your work.

    Challenges and Misconceptions

    1. Reliance on AI

    I know I sound like a broken record, but don’t let AI take over completely. It’s tempting to let it generate everything from scratch and call it a day, but that’s the fastest way to produce content no one wants to read. Worse, you’ll switch off your brain entirely and learn nothing. If all you create is generic, what’s the point of you?

    Solution: Use the tool—don’t let the tool use you. That’s why I’m a fan of “dirty” writing. Don’t stress over perfection or commas; just let your creative mind flow. Write what you want, how you want, and let AI refine it. This ensures you’re thinking critically and staying in control while AI enhances your work.

    2. Ethical Concerns

    Let’s face it: the data AI is trained on isn’t always “free” or ethically sourced. This is a billion-dollar business, and AI models are built on whatever they’re fed, whether they had permission. If this bugs you, you might feel inclined to boycott the technology—but don’t expect it to last long. Soon, even your toaster will probably have AI just because it can.

    3. Imperfect Outputs

    Here’s another big issue: AI is fantastic at making things sound right, even when they’re utterly wrong. If you rely too heavily on it, you risk-taking everything at face value without questioning its validity.

    Solution: Always double and triple-check the outputs. Be critical and ensure the information is accurate before using it.

    Tips for Success

    • Better Input = Better Output: The clearer your prompts, the better the results. Provide enough context, and don’t hesitate to tweak your approach.
    • Be Clear: Be specific about what you want, and if possible, provide example outputs or multiple directions to explore.
    • Iterate and Experiment: If the first output is subpar, rephrase your prompt or try a different approach.
    • Start with Your Own Writing: My favorite tip: write “quick and dirty” yourself. AI should refine your voice, jokes, and tone—not the other way around. This keeps the final output uniquely yours.
    • For Learning to Code: Just try it yourself first. Pain is part of the process—it’s the only way to truly learn. Use AI only when you’ve been stuck for a while and tried several approaches on your own.

    Closing Thoughts

    AI is a great thing. It turns mundane tasks (like writing product descriptions) into something fun, fast, and efficient. If you remember that you are the person writing and AI is the tool helping you, the results can often be surprisingly good—sometimes even better than what you’d have done on your own.

    For me, AI lets me focus more on the creative side, the “me” part, instead of stressing over, “What word should I use again?” or, “How was this phrased before?” It’s like having a brainstorming partner who never runs out of ideas.

    What can I say? Do your own research. Try it out. Experiment with different tools like Claude, Gemini, or others. Find what fits your workflow, and don’t be afraid to adapt. And stay tuned—there’s a lot more where this came from. I’ll be testing new approaches to working with AI and sharing my experiences at least once a week.

    Did this post help you? Please let me know in the comments! I’d love to hear how you’re using AI or what questions you have. Have a good one!