Seattle AI Consultant

Author: Staff Writer

  • Alpha Launch: Seattle AI News

    Alpha Launch: Seattle AI News

    It’s dawn at the rise of my latest venture: Seattle AI News. We’ve got the first sketch of our website up and running, and there are several posts on our Substack newsletter. Stay tuned over the weeks and months ahead to see how this baby bird flies.

    One of the issues I haven’t quite ironed out is the answer to the question, “What is an AI company?”

    Today, there’s a subset of tech companies that are creating AI tools and training AI models and building tools for the builders of AI tools. But tomorrow? What’s an AI company when half the companies in the world are building AI into their products and services?

    I guess I need to answer that question before my blog goes too far down the runway.

  • Coming Soon: Seattle AI News

    We’re now in the process of transitioning this site into a new resource called Seattle AI News at Substack.

    The domain SeattleAIConsultant.com will soon be for sale. Contact us if you’re interested.

  • 5 No-Code Tools for Creating AI Agents (Without a Developer)

    5 No-Code Tools for Creating AI Agents (Without a Developer)

    Small businesses are under pressure to adopt AI—but the idea of “building an AI agent” still sounds like something only a Fortune 500 company could afford. Most small teams can’t hire an engineer, let alone a full-on AI consultant. That’s where no-code tools come in.

    But first—what exactly is an AI agent? In simple terms, it’s an automated system powered by artificial intelligence that can perform tasks on your behalf. It might answer customer questions, help you generate content, route internal requests, or research leads—often using large language models (LLMs) like ChatGPT or Claude. The magic is that these agents can “reason” through steps, follow logic, and sometimes even call tools or APIs—all without human involvement.

    Today, a growing number of platforms let you create these kinds of agents without needing to code. Whether you want a chatbot, a writing assistant, or a sales research agent, these tools are lowering the barrier for non-developers to join the AI conversation.

    Here are five standout tools I’ve come across that make AI agents more accessible—without writing a single line of code.

    Relevance.ai – Build Agents That Think with Your Data

    Relevance.ai (recently in the news) is probably the most business-focused tool on this list. It lets you create what’s called a “retrieval-augmented generation” (RAG) agent—basically, an AI assistant that can search your documents or CRM and give relevant answers. You don’t need to know anything about embeddings or vector databases to use it. The drag-and-drop interface makes it easy to build agents that help with lead research, customer insights, or internal support.

    If you’re a small business sitting on a pile of proposals, slide decks, or support docs and wondering how to get value out of them, this is worth a look.

    Writer.com – Enterprise-Grade AI, No Coding Required

    Writer is like having a ChatGPT that actually knows (and respects) your brand. It’s built for larger teams, but it’s still accessible even if you’re a small shop. You can upload your tone, voice, policies, and internal docs—then use its AI to generate content that stays compliant and on-brand. It’s a no-code platform, and the interface is friendly to non-technical users.

    I see this as especially valuable for regulated industries (like finance or healthcare), or for anyone who’s tired of re-editing AI output to match your company’s voice.

    MindStudio – Visual Builder for Multi-Step AI Workflows

    MindStudio is one of the most approachable full-agent builders I’ve seen. You get a visual canvas where you can drag in large language model blocks, user inputs, logic, and even webhooks or APIs—without coding. It’s ideal for building internal tools, customer-facing bots, or productivity agents.

    What I like here is the balance between power and simplicity. If you want to build an AI that takes a user’s input, checks for conditions, and returns an intelligent response—or routes something to a spreadsheet—this is the one to try.

    Magick ML – A Low-Code Platform for Building Autonomous Agents

    Magick ML is probably the most flexible platform here, and with that comes a slightly steeper learning curve. It’s a low-code platform for building autonomous agents that can chain multiple steps, use memory, and access tools. You’ll need some familiarity with concepts like agent orchestration, chaining, or prompt design—but you don’t absolutely need to write code. But if you don’t code, you won’t get the most out of it.

    It’s great for builders who want deep customization without having to touch Python. I see it appealing to advanced no-coders, AI freelancers, or businesses that want custom functionality without hiring a dev team.

    Poe by Quora – Dead-Simple Bot Creation

    Poe is the most lightweight option here, and that’s not a bad thing. If you want to create a chatbot that answers specific types of questions or interacts in a certain voice, you can do it in minutes—literally. Just set a prompt and pick a model (like GPT-4 or Claude), and you’re off.

    It’s not built for complex agents or tool use, but for simple customer Q&A bots, internal knowledge assistants, or educational bots, Poe makes it dead simple.

    Wrapping Up

    I haven’t explored every one of these tools in depth yet, but I’m excited to dive into them more—especially as more of my clients start asking for affordable ways to bring AI into their day-to-day operations. You don’t need a full engineering team to get started. These platforms prove that with the right tool, a bit of curiosity, and a clear use case, you can build real AI functionality into your business—without breaking the bank.

    Have you tried any of these yet? I’d love to hear what you’re building.

  • 10 GenAI Prompts Everyone Should Know

    10 GenAI Prompts Everyone Should Know

    Generative AI has changed the game for how I write, brainstorm, and get work done faster. But the magic isn’t just in the AI—it’s in the prompt. A well-crafted prompt can save hours, unlock creativity, or just make your day a little more fun.

    Here are 10 go-to prompts I think everyone should know. Whether you’re using ChatGPT, Claude, Gemini, or Copilot, these work across the board. Take note that these prompts also work well on the free versions of these platforms, so there’s no need to buy expensive subscriptions.

    1. “Please help me brainstorm 10 ideas for a blog article.”

    Let’s start with the one I used to write this article. It’s simple but surprisingly effective for unsticking your brain. I use it whenever I hit a creative wall and need momentum.

    2. “Explain this to me like I’m five.”

    This one is gold when you’re dealing with complicated concepts—machine learning, taxes, international politics—and just want the gist. The AI will give you a basic, clear summary without the fluff.

    3. “Summarize the following text in bullet points.”

    I often use this to digest long articles or whitepapers. Paste in a chunk of text, and you’ll get a crisp list of highlights. I sometimes follow it up with “Now summarize it in one sentence” when I need a headline or tweet.

    4. “Act as a career coach and help me rewrite my resume for a [job title] role.”

    If you’re job hunting or switching fields, this prompt is a great place to start. It helps restructure your resume around your target role and gives suggestions you may not have thought of. This one was featured in Tom’s Guide.

    5. “Turn this paragraph into a professional email.”

    I use this whenever I’ve written something too blunt or too casual. The AI can polish it up and make it sound like something you’d send to a client or manager—without losing your original intent.

    6. “Give me 5 questions I should ask at the end of a job interview.”

    Another Tom’s Guide favorite. It’s easy to freeze when asked, “Do you have any questions for us?” This prompt helps you prepare thoughtful, strategic questions that reflect well on you and help you assess the role.

    7. “Act as a software engineer. Help me understand this error message: [paste error here].”

    This has saved me more than once. If you’re not a developer (or even if you are), it’s a fast way to get context and troubleshoot weird or confusing error messages. If your GenAI tool fails, there’s always Stack Overflow.

    8. “Generate 3 different social media captions for this post: [insert description or link].”

    I use this to punch up Instagram, LinkedIn, or newsletter blurbs. The AI can suggest short, catchy captions, giving you options that are tailored to different tones or platforms.

    9. “Write a bedtime story about my dog as a superhero. His name is [your dog’s name].”

    This one blew up on social media recently after being featured in the Hindustan Times. It’s a feel-good prompt that’s great for kids—or for turning your golden retriever into a caped crusader just because you can.

    10. “I’m trying to decide between two options. Ask me 5 questions to help me think more clearly.”

    This is one of my personal favorites. Instead of forcing a decision, it helps you think like a coach or strategist would—by clarifying your values, risks, and priorities.

    Final Thought

    The secret to getting the most out of AI isn’t about knowing more tech—it’s about asking better questions. These 10 prompts are in my regular rotation because they’re versatile, fast, and honestly kind of fun. Try one out the next time you feel stuck, and see where it takes you.

  • How Generative AI Can Help You Nail Networking Icebreakers

    How Generative AI Can Help You Nail Networking Icebreakers

    Networking can be nerve-wracking, even for the most seasoned professionals. Striking the right balance between approachable and professional in an icebreaker is no small feat. That’s why I found Lance Eliot’s recent Forbes article, “How to Gain Vital Skills in Conversational Icebreakers via Nimble Use of Generative AI,” so fascinating. It offers actionable advice for small businesspeople like us who rely on building meaningful connections.

    The AI Advantage in Icebreakers

    Eliot’s article highlights how generative AI tools, like ChatGPT, can become your secret weapon for mastering conversational openers. The idea is simple yet brilliant: use AI to practice and refine your approach in advance. For example, you can prompt the AI with scenarios like, “I’m meeting a potential client at a networking event. What’s a good way to break the ice?” and receive a list of suggestions tailored to the situation.

    One aspect I found especially useful is how generative AI can provide feedback and offer variations. If a typical “What do you do?” opener feels stale, AI can suggest more engaging alternatives, like “What inspired you to get into your line of work?” or “What’s been the highlight of your week so far?” These personalized and conversational prompts can help create memorable first impressions.

    Why It Works for Small Business Owners

    For small business owners, networking isn’t just a nice-to-have—it’s essential. Whether we’re meeting potential clients, investors, or collaborators, the ability to connect quickly and authentically can set the tone for a successful relationship.

    Eliot’s advice reminded me of an article I read recently on Harvard Business Review about the importance of conversational agility in networking. “The Science of Better Small Talk” by Alison Wood Brooks (November 2023) emphasizes a similar theme: small talk isn’t trivial; it’s foundational. Brooks outlines how strategic questions and active listening can transform superficial exchanges into meaningful interactions. Combining these insights with the AI-generated prompts Eliot discusses creates a powerful toolkit for navigating any networking event.

    Putting It Into Practice

    I’m excited to try this advice myself. Before my next event, I plan to brainstorm conversation starters with ChatGPT, testing out a few options and refining them based on feedback. For instance, I might prepare questions tailored to specific industries or even rehearse how to respond to common networking scenarios.

    Of course, AI is just a starting point. The real magic happens when we add our personality, curiosity, and genuine interest into the mix. But having an AI-coached playbook can take a lot of the anxiety out of the equation.

    Your Turn

    What’s your go-to strategy for networking icebreakers? Have you ever tried using generative AI to improve your conversational skills? If not, Eliot’s article—and the tips from HBR—are a great place to start. With tools like these, you can walk into your next event prepared, confident, and ready to make lasting connections.

    Let me know how these tips work for you in the comments below. I’d love to hear your experiences and insights!

  • Why Small Businesses Shouldn’t Stress About AI’s Breakneck Pace

    Why Small Businesses Shouldn’t Stress About AI’s Breakneck Pace

    The AI world is evolving at a speed that defies even its creators’ ability to keep up. A recent article in TechCrunch highlights just how chaotic things have become in the AI industry, even among the leading minds at Big Tech. Researchers admit they’re struggling to match the rapid-fire pace of advancements, and the sheer volume of innovations is leaving even insiders scrambling.

    This relentless acceleration isn’t just an issue for researchers—it’s creating ripples throughout the entire tech ecosystem, leaving businesses and consumers alike feeling overwhelmed. For small businesses trying to navigate this landscape, it’s tempting to feel like you’re constantly playing catch-up.

    The Frenzy of AI Development

    AI is advancing on multiple fronts: generative models are becoming smarter, more creative, and more versatile. Every week seems to bring a new breakthrough in natural language processing, image generation, or specialized AI applications. Researchers report that it’s no longer just about building the next model—it’s about managing the cascading complexity these models introduce.

    Here’s a quote from the TechCrunch article that stood out:

    Many researchers say they’re not only unable to keep up with new advancements but also struggling to fully grasp the implications of technologies released just months ago.

    If the experts feel this way, how can a small business owner with a million other things to manage possibly hope to stay on top of it all?

    Don’t Feel Bad—Nobody Can Keep Up

    The reality is this: if you’re feeling overwhelmed by the pace of AI, you’re not alone. And you shouldn’t feel bad about it. Even the people building these technologies are in a constant state of adaptation.

    For small businesses, the key isn’t to master every new development as it happens. Instead, focus on staying informed about AI tools and trends that directly impact your business. Pick the technologies that solve real problems for you and your customers, and ignore the noise.

    How Small Businesses Can Thrive Amid the Chaos

    Here are three simple strategies to keep pace with AI without burning out:

    1. Focus on Impact, Not Hype
      Not every flashy new AI tool will transform your business. Prioritize tools that offer clear benefits, like automating repetitive tasks, improving customer engagement, or providing valuable insights.
    2. Leverage Expertise
      Partner with AI consultants who specialize in small business needs. They can help you cut through the clutter and adopt the right solutions without wasting time or money.
    3. Stay Agile
      Technology changes fast, but your ability to adapt can be your superpower. Adopt a mindset of experimentation—try new tools, see what works, and pivot when necessary.

    Closing Thoughts

    AI is moving fast, but you don’t have to feel pressured to sprint alongside it. As a small business owner, your success depends on making smart, deliberate choices, not on keeping up with every headline.

    Remember, even the brightest minds in AI are struggling to keep pace. Focus on what matters for your business, and let the rest of the industry’s chaos unfold without you.

    If you’re looking for tailored guidance on how to incorporate AI into your small business strategy, reach out to Avanzar AI today. We’re here to help you navigate the AI revolution—at your own speed.

  • When AI Takes the Joy Out of Coding (But It’s Not All Bad)

    When AI Takes the Joy Out of Coding (But It’s Not All Bad)

    Let’s be honest: generative AI is everywhere. It’s writing our emails, generating our art, and yes, even helping developers code. Sounds amazing, right? But here’s the catch: not everyone’s loving it—especially video game developers.

    I get it. As a writer, I understand the joy of creating something from scratch, watching it come to life, and thinking, “I made that.” For many developers, writing code isn’t just a job; it’s a creative process. But when AI takes over the heavy lifting, what’s left? Reviewing and debugging AI-generated code can feel like babysitting a robot, which doesn’t quite have the same magic.

    According to a recent article on GameDeveloper.com, developers are feeling less engaged with their work when AI does the coding for them. Instead of diving into problem-solving and innovation, they’re stuck tinkering with code they didn’t write. That’s frustrating for anyone who loves the craft of development.

    But here’s where I think we need to zoom out. While AI might take some of the fun out of coding, it also frees up developers to tackle bigger, more complex problems. Imagine having the time and mental bandwidth to design a more immersive game world or refine gameplay mechanics because AI handled the grunt work. Sure, it’s an adjustment, but the trade-off might be worth it.

    The key is balance. Generative AI is a tool, not a replacement for creativity. It’s up to us—whether we’re writers, developers, or any kind of creator—to figure out how to work with it in a way that enhances our craft. Let’s keep the joy in creation while embracing the efficiency AI brings to the table.

  • Why Small Businesses Should Work with Local AI Talent—Especially in Seattle

    Why Small Businesses Should Work with Local AI Talent—Especially in Seattle

    In today’s hyper-connected world, it’s tempting to believe geography no longer matters. After all, you can hire a talented AI developer in another time zone—or another continent—at the click of a button. And I’m not here to argue against that. Sometimes, the best person for the job is halfway around the world.

    But often, there’s equally qualified talent right here in Seattle. And when that’s the case, I believe it’s worth choosing local.

    Seattle is quickly becoming a major hub for artificial intelligence and automation. From university research centers to enterprise-scale consultancies and cutting-edge startups, the talent pool is deep. That means small businesses don’t need to look far to find experts who understand AI—and understand the local business climate.

    Hiring a local AI consultant or developer offers a few tangible advantages. First, there’s the option of face-to-face meetings. Sometimes, the best ideas and clearest understandings come from sitting across a table, not a screen. Even one in-person session can accelerate a project, especially during discovery or troubleshooting phases.

    Second, local support often means faster response times when urgency strikes. If your business runs into a sudden issue with an AI-powered tool or an automation workflow that’s gone off the rails, having someone in your time zone—or better yet, your neighborhood—can mean the difference between a minor hiccup and a full-day disruption.

    Third, hiring local helps strengthen the Seattle economy. Every dollar spent with a local service provider is a reinvestment in the community we all share. That might not be the main reason you choose a vendor—but it’s a meaningful side benefit. As local businesses, we rise together.

    Finally, working with a Seattle-based AI partner can help you tap into valuable local networks. Whether you need help finding a technical hire, collaborating with another firm, or getting plugged into local startup events or meetups, a homegrown consultant may have just the right introduction at just the right time.

    To be clear, I’m not saying “buy local no matter what.” But when you’re choosing between two great options—one based here in Seattle, one remote—it’s worth considering that a local partner can bring more than just technical know-how. They can bring proximity, accountability, and an invested stake in your success.

    So if you’re thinking about automating your operations, exploring AI tools, or building a smarter internal workflow, give your local experts a look. You might be surprised by what’s available right here in our own backyard.

    —
    My firm, Avanzar AI, is dedicated to helping small businesses unlock the power of AI and automation, with a focus on no-code and low-code solutions. We’re based in Seattle and proud to serve the community we live in.

  • Should I Build My App with No-Code or Low-Code Platforms?

    Should I Build My App with No-Code or Low-Code Platforms?

    If you’re launching a new app or internal tool for your business, you’ve probably run into the terms no-code and low-code. These platforms promise faster development and lower costs—but how do you know which one is right for you?

    Let’s break it down simply.

    No-code: great for speed and simplicity

    No-code platforms like Glide, Softr, Adalo, and even Bubble (in many use cases) are designed for non-developers. You can build an app using visual tools—no programming required. If your app fits a common pattern—such as a CRM, booking tool, or internal dashboard—no-code is likely a great starting point. You’ll launch fast, keep costs low, and stay in control.

    That said, no-code tools come with limitations. As your app grows in complexity, or if your business operations are unique, you may start to hit walls. Workarounds pile up, and suddenly your simple app feels like a Rube Goldberg machine held together with duct tape and Google Sheets.

    Low-code: for customization and complexity

    Low-code platforms like OutSystems, Retool, and Make let you go further by combining visual interfaces with the ability to add custom code. While Bubble is often categorized as no-code, it also allows enough extensibility through JavaScript and APIs that it straddles both worlds.

    If your app needs features that go beyond what drag-and-drop builders offer, low-code can give you that extra power. You can create tailored workflows, connect to obscure systems, and build business logic that no-code tools can’t easily handle.

    But there’s a tradeoff: low-code apps usually require app developers. Not necessarily full-blown software engineers, but someone who understands JavaScript, APIs, and how apps work under the hood. You’ll likely need help to build, maintain, and troubleshoot your app over time.

    A question of tradeoffs

    So how do you choose?

    Start with no-code if your app is relatively standard and you want to get to market quickly with minimal investment.

    Go with low-code if your app needs to reflect complex or unusual parts of your business that no template can capture.

    A good rule of thumb: the more your app needs to behave differently from every other app out there, the more likely you’ll need low-code—or even full-code.

    And here’s the most important advice: no matter which path you choose, make sure you have a partner who understands both your business and the tools you’re using. Low-code projects, in particular, can suffer if your developer disappears or lacks context about your operations. You’ll end up with something you can’t update, can’t fix, and can’t rely on.

    In the end, the best choice isn’t just about code. It’s about control, scalability, and having the right support when things change.

  • How Students Are Pioneering Responsible AI Use: A Lesson in Self-Regulation

    How Students Are Pioneering Responsible AI Use: A Lesson in Self-Regulation

    Hey there! I recently came across a survey highlighted in Inside Higher Ed reveals that college students are increasingly integrating generative AI tools into their academic routines. Interestingly, the findings suggest that students are likely to self-regulate their AI usage to mitigate potential issues. What’s truly encouraging is that these students aren’t just diving in headfirst—they’re consciously setting their own boundaries to ensure they’re using AI responsibly.

    They’re tapping into AI for perks like personalized learning and quicker information processing. At the same time, they’re staying alert to challenges like maintaining academic integrity and avoiding over-reliance on technology. This self-awareness is leading them to self-regulate, using AI in ways that genuinely enhance their learning without crossing ethical lines.

    What’s even more impressive is that these students aren’t waiting around for schools to lay down the law. They’re taking the initiative to use AI thoughtfully, striking a balance between leveraging its benefits and steering clear of potential downsides. This proactive mindset shows a mature grasp of how technology fits into education and underscores the need for digital literacy and ethical awareness in today’s academic world.

    In a nutshell, as generative AI becomes more common in higher education, students’ tendency to self-regulate is a promising sign. By combining personal responsibility with support from educational institutions, the academic community is well-positioned to navigate the evolving landscape of AI-enhanced learning effectively.

    More research needs to be done, but research is showing students are early adopters of AI tools like Anthropic’s Claude, making them pioneers in the frontiers of technological advance.

    This development is a positive example of how ethical challenges, like plagiarism, are being addressed organically, without the need for heavy-handed rules and regulations. It’s great to see such a balanced and thoughtful approach emerging among students!

  • The Hidden Cost of Spreadsheets—and How No-Code Can Help

    The Hidden Cost of Spreadsheets—and How No-Code Can Help

    Spreadsheets are everywhere. From budgeting and inventory tracking to client lists and scheduling, small business owners rely heavily on tools like Excel and Google Sheets to manage day-to-day operations. And why not? They’re familiar, flexible, and free (or already included in Microsoft 365 or Google Workspace). But here’s the truth: for most small businesses, spreadsheets are holding you back.

    When Spreadsheets Stop Working

    At first, spreadsheets feel like a lifesaver. You can spin one up in minutes, customize it however you want, and share it with your team. But as your business grows, so do the risks:

    • Version control issues (Who edited what? Is this the latest file?)
    • Broken formulas that throw off your data without warning
    • No user permissions, which means everyone sees (and can mess with) everything
    • Manual processes like copying data between tabs or updating statuses
    • And worst of all, no automation—which means endless time wasted on repetitive tasks

    Google Sheets helps a bit with real-time collaboration, but it still inherits many of the same fragilities. Even Excel, with its powerful macros and pivot tables, can be overkill for most teams—and hard to maintain unless you’re a spreadsheet wizard.

    Why No-Code Tools Are Better for Business

    No-code platforms like Airtable, Glide, Softr, and Make are designed to take the power of spreadsheets and wrap it in structure, automation, and usability. You still get the flexibility, but with guardrails that make your data more reliable and your workflows easier to manage.

    Here’s what you gain when you make the switch:

    • Automation: Connect apps, schedule tasks, and update data automatically—no copy-pasting required.
    • User permissions: Control who sees and edits what, protecting sensitive information.
    • Interfaces: Replace messy rows and columns with clean, mobile-friendly apps or dashboards.
    • Integrations: Sync with Google Workspace, QuickBooks, email tools, CRMs, and more.
    • Scalability: As your business grows, your systems do too—without having to rebuild everything from scratch.

    A Real-World Example

    One Seattle client of mine was managing customer inquiries and orders through a shared Google Sheet. It worked at first—but as volume increased, so did the confusion. Orders went missing, team members stepped on each other’s edits, and the sheet became so complex that no one dared touch the formulas.

    We rebuilt the system using Airtable and Make.com. Now, customers fill out a form online, the data flows into a structured database, and automated notifications keep everyone on the same page. No more chaos—and no more spreadsheet-induced anxiety.

    The Bottom Line

    Spreadsheets are powerful—but only in the right hands and for the right use cases. If you find yourself spending hours maintaining them, patching problems, or wondering if there’s a better way… there is. No-code platforms are built for business people, not spreadsheet specialists. And once you switch, you won’t want to go back.

    Ready to leave your spreadsheet woes behind? Let’s talk about how no-code tools can streamline your workflow—so you can get back to running your business.

  • Boost Your Writing with Multiple Personas: An Advanced AI Prompting Technique

    Boost Your Writing with Multiple Personas: An Advanced AI Prompting Technique

    As someone who works in AI communications, I’ve seen firsthand how generative AI is transforming the way we write. But here’s the secret sauce to taking your content to the next level: multiple personas. It’s an advanced prompting technique that taps into AI tools trained on different datasets to enrich your writing with incredible depth and variety.

    Think of it like having a team of co-writers, each with their own voice and expertise. One persona might specialize in data-driven analysis, another could channel a creative storyteller, while a third offers a casual, conversational tone (like this one). By blending these perspectives, you get content that’s nuanced, dynamic, and, most importantly, engaging.

    Why does this work so well? Because different personas bring different strengths to the table. As highlighted in this Forbes article, combining personas helps bridge gaps in tone and perspective, creating more balanced and versatile content. It’s like tapping into multiple viewpoints to ensure your message resonates with a broader audience.

    Here’s an example: Say you’re writing a blog on climate change. You could prompt one persona to take an academic approach, diving into hard data. Then, you could ask another persona to write a heartfelt call to action. Finally, a third persona might add practical tips for readers. Merge these inputs, and suddenly you’ve got a well-rounded, compelling piece that informs, moves, and inspires.

    The key to mastering this technique is knowing your audience and selecting personas that align with their needs. Whether you’re crafting marketing copy, educational materials, or storytelling, the multi-persona method adds layers of sophistication to your work.

    So, why settle for one voice when you can have a chorus? With AI personas, you’re not just writing—you’re orchestrating. And the results? Complex, captivating content that stands out.