Josh Katherman

Tag: AI

  • Productize Your Expertise: Turning Consulting Knowledge into a Micro-SaaS with AI

    Productize Your Expertise: Turning Consulting Knowledge into a Micro-SaaS with AI

    Imagine you’ve spent years honing a super-specific skill. Maybe you’re the go-to person for fixing legacy plumbing scheduling nightmares. Or you know exactly how to help boutique coffee roasters track inventory without losing their minds. People will pay you good money for that expertise.. But if you’re like most, you’re trading hours for dollars. Unfortunately there’s only so much of you to go around..

    What if you could bottle that knowledge into a little software tool that works while you sleep? Not some bloated enterprise platform. But a hyper-specific Micro-SaaS that solves one painful problem for a niche audience who desperately needs it..

    Here’s the thing: your consulting expertise is already a product — you just haven’t packaged it yet.

    The problem isn’t a lack of skill. It’s the belief that turning know-how into software requires a computer science degree or a six-figure dev budget. That myth keeps brilliant experts stuck in the hourly grind. Watching their valuable knowledge walk out the door after each engagement..

    Your Knowledge Is Already a Feature Set

    Think about the repeatable steps you walk clients through. The templates you tweak. The calculations you do in spreadsheets. The decision trees you follow in your head. That’s not just experience. That’s a functional specification waiting to be coded..

    Let’s say you help HVAC contractors reduce no-shows with a smart follow-up system. You’ve got a script for timing reminders. A checklist for what info to collect. And a way to reschedule that actually gets used. That entire workflow could be a simple web tool. It could send automated texts, log responses, and flag risky appointments. All without the contractor needing to learn anything new..

    Or imagine you help independent coffee roasters blend beans for consistent flavor. You’ve got a notebook full of roast profiles. A scoring system for cupping notes. And a process for adjusting based on humidity and bean age. That knowledge could become a tool! It could suggest blend ratios, predict flavor outcomes, and log each batch for quality control..

    AI as Your Co-Founder, Not Your Replacement

    Now, here’s where AI changes the game… You don’t need to hire a developer to translate your expertise into user stories and wireframes. You can use AI to:

    • Interview yourself to extract the core process
    • Generate mock user stories from your consulting notes
    • Draft UI copy that sounds like you explaining it to a client
    • Create realistic sample data for testing

    The key is to treat AI as a tool that accelerates the translation of your knowledge… Not as a magic box that invents the product for you..

    For example, you could feed AI transcripts of past client calls. Ask it to identify the most common questions, pain points, and desired outcomes. Or you could give it your standard consulting worksheet. Have it generate variations for different industries. This isn’t about replacing your judgment… Nope, it’s about leveraging AI to handle the repetitive parts of product discovery. So you can focus on the unique insights only you can provide..

    Validate Before You Build (Even a Line of Code)

    Before you spend time turning your expertise into a tool, you need to know if people will actually pay for it. This is where the 48-hour validation sprint comes in. Using AI to simulate interviews and test messaging without writing a single line of production code..

    Here’s how that works:

    1. Use AI to generate synthetic interview transcripts based on your ideal client profile
    2. Craft landing page copy that describes your tool’s core promise
    3. Run quick ads or share in niche forums to gauge interest
    4. Iterate based on feedback.. all before you touch a no-code builder

    This approach flips the traditional script. Instead of building first and hoping, you validate the demand for your expertise-as-software while you still have zero development cost..

    Let’s say you think roofers need a better way to track weather delays and reschedule jobs. Instead of guessing, you could use AI to create fake interview transcripts. Where synthetic roofers complain about missed appointments and lost revenue due to bad weather forecasts.

    Then you test a landing page that promises a simple weather-integrated scheduling tool. If the synthetic interviews show excitement and the landing page gets sign-ups, you have a signal worth pursuing..

    From Consulting Deliverable to Self-Serve Tool

    Once you’ve validated interest, the actual build is often faster than you think. Your consulting deliverables — the reports, the spreadsheets, the custom templates — become the foundation of your Micro-SaaS.

    Let’s say your expertise is helping niche manufacturers calculate true production costs. Your deliverable is a detailed Excel model with industry-specific assumptions. That model, wrapped in a simple web interface with smart defaults and export options, becomes a tool. It saves manufacturers hours per quote..

    You could start with a Google Sheet that does the calculations. Then use a tool like Softr or Bubble to turn it into a web app without writing code. Or if you need more flexibility, you might use Airtable as a backend and Softr for the frontend. The point is to start stupid simple. Get the core calculation working & THEN iterate based on real user feedback..

    Actionable Steps to Productize Your Expertise

    • Map your repeatable process: Write down the exact steps you take with a typical client. Note the tools, templates, and decision points you use. Be specific about what you actually do. Not what you think you should do.
    • Extract the core promise: In one sentence, what specific outcome does your expertise deliver? This becomes your tool’s value proposition. It should be clear enough to explain in ten seconds.
    • Run a 48-hour AI validation: Use AI to generate fake client interviews. Test landing page copy with services like Carrd or CloudPages. Measure interest in relevant communities like Reddit threads or Facebook groups.
    • Start stupid simple: Build the absolute minimum version that delivers your core promise. Think spreadsheet + automation, not full-blown app. Use tools you already know: Google Docs for specs, Canva for mockups, Gumroad for early sales.
    • Price for transformation instead of time: Charge based on the value of the outcome (saved hours, avoided mistakes). Rather than hourly consulting rates. If your tool saves a contractor 5 hours a week, price it at a fraction of what those hours are worth to them.

    The Expert’s Advantage

    You already have something most software founders dream of: deep domain knowledge, proven methodologies, and a network of potential customers who trust you. The shift from consultant to product creator isn’t about learning new skills. It’s about packaging what you already do in a way that scales beyond your hourly limits..

    Remember, the most profitable Micro-SaaS tools aren’t the ones with the most features. They’re the ones that solve a specific problem so well that users forget they’re using software at all. Your expertise gives you that edge. You know exactly what matters and what doesn’t in your niche..

    So take that unique knowledge you’ve been selling hour by hour. Run a quick validation to see if it resonates as a tool. Then start building the Micro-SaaS version of your expertise. The fastest path to profitable software isn’t learning to code. It’s realizing you’ve been a product developer all along..

    But wait, there’s more! You don’t have to go it alone. There are communities of fellow consultants who’ve made this leap. They share templates, warn about pitfalls, and celebrate wins. Look for indie hacker forums, Micro-SaaS Discord groups, or even local meetups. Sometimes the best insight comes from someone who solved a similar problem in a different industry..

    Also, consider starting with a micro-offer. Instead of building a full tool right away, create a simple checklist or template based on your expertise. Sell it for a low price on Gumroad. Use the feedback to shape your eventual software product. This lets you validate demand and start earning while you build..

    Finally, enjoy the journey. Turning your knowledge into a product is creative work because it lets you scale your impact without scaling your time. And then when you see someone use your tool to solve a problem you’ve seen a hundred times? That feeling never gets old..

    Excited to see what you build, take care!

  • Human-Vetted Directories in the AI Era – Combine Trust & Automation

    Human-Vetted Directories in the AI Era – Combine Trust & Automation

    Ok so… imagine running a niche directory where every listing feels like a personal recommendation from a trusted friend.. That’s the magic of human-vetted trust hubs — they turn casual browsers into loyal customers because the vetting process itself builds credibility.

    But here’s the thing.. as AI floods the web with auto-generated listings and fake reviews, maintaining that human touch feels harder than ever. You might worry that scaling your directory means sacrificing the very trust that makes it valuable.

    What if you could use AI to handle the grunt work while keeping humans in the loop for final approval?

    The Trust vs Scale Dilemma

    Most directory owners hit a ceiling when they try to grow beyond a hundred listings.. Manual verification eats up time, and hiring a team quickly erodes profits.. Meanwhile, AI-powered aggregation tools can scrape thousands of data points in minutes, but they lack judgment — they can’t tell if a business is legit or just a clever facade.

    This tension isn’t new, but AI makes it sharper.. On one side, you have the authenticity that only human vetting provides; on the other, the scalability that automation promises.. The solution isn’t choosing one over the other — it’s designing a workflow where each does what it does best.

    Let me explain.. Think about a local plumbing directory — you could spend hours calling each business to verify licenses and insurance, or you could let AI pull data from state contractor boards and online reviews in seconds.. But only a human can tell if that “licensed” plumber actually shows up on time and fixes leaks properly.

    I’ve seen this play out in concrete terms: a directory owner I know spent three months manually verifying 120 listings for a home renovation niche.. By month four, burnout hit, and verification quality dropped.. Then they brought in an AI-assisted workflow and doubled their output while actually improving accuracy — because humans focused on judgment calls, not data gathering.

    AI as the Data Scout

    Think of AI as your tireless intern who loves digging through public records, social media, and review sites.. It can pull business names, addresses, phone numbers, and even sentiment analysis from existing reviews at scale.. For example, you could use AI to:

    • Aggregate basic info from Google Maps, Yelp, and industry-specific sources
    • Flag potential duplicates or inconsistent NAP (name, address, phone) data
    • Detect obvious red flags like missing websites, generic templates, or sudden spikes in negative sentiment

    The key is treating AI output as raw material, not finished product.. You still need a human to interpret context — like knowing that a “missing website” might be fine for a decades-old plumbing shop that relies on word-of-mouth.

    I’ve seen this work beautifully in HVAC directories where AI gathers service areas and certifications, but humans verify that technicians actually have the right equipment for commercial vs residential jobs.

    I’ll give you a concrete example: imagine you’re building a directory for licensed electricians in older neighborhoods.. AI can quickly pull license numbers from the state database, check for any disciplinary actions, and gather online reviews.. But a human verifier might notice that while the license is current, the business has changed ownership twice in the last year — something that could affect consistency of service.. Or they might see that the address listed is actually a residential home, raising questions about whether it’s a legitimate commercial operation.

    The Human Verification Gate

    Now picture a simple but powerful checkpoint: after AI gathers and pre-processes a listing, a real person reviews it before it goes live.. This doesn’t have to be slow if you design it right.. Use a lightweight internal tool (think Airtable or Softr) where reviewers see:

    • The AI-collected data highlighted for quick scanning
    • Any discrepancies or warnings the system flagged
    • Links to original sources for spot-checking

    A trained verifier can make a call in under two minutes per listing.. More importantly, they can apply nuance — like recognizing that a business with a sparse online presence might still be highly reputable in its local community.

    Here’s the thing about human judgment: it catches the subtle stuff AI misses.. Like when a business has perfect online ratings but multiple verifiers mention rude technicians — or vice versa, where a grizzled contractor with a barebones website has decades of proven results.

    I remember working on a directory for historic home restoration contractors.. The AI kept flagging businesses with low Google review counts as risky.. But our human reviewers kept approving them because they knew these specialists get most of their work through referrals from architects and preservation societies — not online searches.. If we’d relied solely on AI, we’d have missed some of the best craftsmen in the field.

    Closing the Loop with Feedback

    Here’s where the flywheel starts spinning: every human decision feeds back into the AI, making it smarter over time.. If reviewers consistently reject certain types of listings, you can adjust the AI’s scoring model to pre-filter those out.. Conversely, if the AI keeps missing legit businesses that humans approve, you expand its data sources or tweak its parameters.

    This creates a virtuous cycle where automation handles volume, humans ensure quality, and the system gets better at predicting what’ll pass inspection.. Over time, you’ll spend less time on each listing and more on growing your directory’s reach and revenue streams.

    I like to think of it as teaching the AI through examples — each “approved” or “rejected” stamp becomes a data point that refines its understanding of what quality looks like in your specific niche.

    For instance, after a few months of human verification, you might discover that your AI is overly cautious about businesses that operate primarily through Facebook pages rather than traditional websites.. You can then adjust the algorithm to weigh social media presence more heavily, reducing false positives.. Or you might find that certain address formats in rural areas are consistently flagged as incorrect when they’re actually perfectly valid — another pattern to teach the AI.

    I’ve watched this feedback loop transform a directory’s efficiency: early on, humans reviewed 80% of AI-suggested listings; after six months of tuning, that dropped to 30%, freeing up verifiers to focus on edge cases and new niches.

    Actionable Steps to Build Your Hybrid Directory

    • Start with a clear niche and define your verification criteria (license checks, social proof, etc.)
    • Choose an AI tool or script for initial data gathering (Python with Selenium, Apify, or even no-code scrapers)
    • Set up a simple review interface where humans can approve, reject, or request more info
    • Log every decision and use it to refine your AI’s accuracy weekly
    • Publish only after human sign-off, and display a “Verified by Humans” badge to reinforce trust

    Pro tip: Begin with a micro-niche — like “licensed electricians in historic districts” or “organic coffee roasters with direct trade relationships” — to prove your model before expanding.

    I’ve seen folks try to boil the ocean and get overwhelmed.. Trust me, it’s way better to start small, prove your workflow, and then scale.. You’ll learn what your human verifiers actually need to see, what the AI struggles with, and how to tune the feedback loop.. Once you’ve got that down, expanding to related niches becomes much smoother.

    I’ll share a quick story: a friend launched a directory for sustainable building materials.. They began with just reclaimed wood suppliers in their metro area.. After nailing the verification process there, they added solar installers, then eco-friendly paints, and now they’re approaching a full green building directory — all because they validated the model first.

    Bigger Picture: Trust Is Your Moat

    In a world where anyone can spin up a directory with AI-generated content, your commitment to real human oversight becomes your competitive advantage.. It’s not just about preventing spam — it’s about signaling to users that you care enough to put eyes on every listing.. That signal builds loyalty, reduces churn, and opens doors to premium monetization like lead sales or featured placements.

    Think about it — when was the last time you trusted a list of “top 10 dentists” that was clearly auto-generated? Now imagine seeing a badge that says “Each dentist verified by a human for license status and patient reviews.” Suddenly, that directory feels worth paying attention to.

    I’ll let you in on a little secret: the most successful directory owners I know don’t compete on quantity — they compete on quality and trust.. They know that in niches like emergency home services, longevity wellness, or AI compliance, users are willing to pay a premium or go out of their way to find a source they can truly believe in..

    And here’s the kicker — this human-first approach actually makes your directory more resistant to AI disruption.. As AI-generated content floods the internet, your verified human stamp becomes a beacon of reliability that algorithms can’t fake.. You’re not just building a directory; you’re building trust infrastructure.

    So embrace the bots for the busywork, but keep the final say where it belongs: with people who understand that trust isn’t a feature — it’s the foundation..

    i’m excited to see what you build with this approach — go make something real!

    Take care guys! 🙂

  • Don’t Find A Niche, Become The Niche

    Don’t Find A Niche, Become The Niche

    In a saturated market, being ‘you’ is your strategic advantage

    In this digital gold rush we’re all in, the majority of creators are sprinting towards the same exact crowded hills. They want to be a great ‘digital marketer’ or a ‘pro SaaS developer’ etc.

    The problem with this methodology?

    There are literally MILLIONS of other people with those exact same goals. When you’re competing on a completely level playing field with everyone else, you’re just another cog in the whole system..

    If you’re a generalist, you’re typically quite replaceable.. unfortunately. If you can easily be replaced, your leverage decreases. This is where this strategy comes into play.

    The personal niche monopoly strategy is your escape hatch. It’s the art of combining two or more skills or interests until you become a lot more ‘rare’. You don’t want to be the best, preferably you want to be the ‘only’.

    Most people try to get 1% better at something, a single skill or whatever it may be.. They’ll spend countless hours, sometimes a lot of money, trying to go from the top 20% of their niche to the top 10 or 5%. It’s a grueling and uphill battle against people of high intellectual capabilities.

    This strategy uses different math.. instead of just trying to ‘be the best coder’, it’s about skill stacking to create a unique ‘bundle’ of skills that make it infinitely easier to be the ‘best’ at. Instead of competing against thousands and thousands of other people doing the same thing, you’re suddenly competing maybe against a couple of people, and in some cases no one else. The more unique and specific your skill combo is, the less competition you have. So the goal is to not get so specific that you only target 10 people worldwide, but not so wide that you’re competing with too many.

    Really think about this concept for a minute… Ok so, for example, let’s toss out an example of using this strategy to really work out what it looks like in reality.

    Imagine you’re in the top 20% of people who do online directories.. While that’s still quite good, but not overly unique.

    Now in comparison, imagine that you’re ALSO in the top 20% of people who understand ‘local SEO for plumbers’. Suddenly the pool of people who understand both is tiny.

    When you apply directory models specifically to the plumbing industry, you’ve created a unique personal monopoly on this niche.

    Finding Your Own ‘YOU’ Niche

    The secret to successfully creating your own personal monopoly is commonly found in the places that other people are not looking.

    Everyone wants to build the next social media app or tool, but that’s what all the other people are are doing. The REAL money, are built in the ‘boring’ highly specific niches.

    Just think about the legacy industries.. Logistics, local governments, specialized medical billings, industrial supply chains etc etc. These industries are commonly running software from the 90s and marketing strategies that are even older!

    When you bring modern concepts to aged industries, you can be so much more than just a service provider, you can be a revolutionary. Your own personal monopoly is protected by a barrier of boredom, in a sense. Your competitors aren’t attacking your unique niche you’ve carved out because it’s not attractive enough for them to notice.

    Just ponder if you ‘vibe coded’ an inventory / sales app system for a very specific niche industry.. To branch from our previous idea, lets say you create a customer acquisition / tracking / marketing system that’s SPECIFICALLY for any local ‘single person’ plumbers, that helps them keep track of their customers, reach out for marketing etc etc, maybe even billing too.

    If you created this system, you could directly market this highly niche software to every single ‘freelance’ plumber (is that what they’re even called?). This would be something that you could charge monthly for, and can also swap the ‘plumber’ out for any other industry, and make more and more niche apps.. all charging a monthly fees. You can see how this could potentially pile up your monthly reoccurring revenue quickly!

    Your ‘Human-First’ Advantage

    In a landscape being flooded with generic AI slop, your voice is your ultimate intellectual tool!

    Your personal niche monopoly isn’t just about WHAT you do, it’s also about HOW you do it. This is where the human-first methodology becomes a tactical weapon. When you manually create top notch articles and ideas, inject your own personal stories & bypass the robotic tone of the masses, you build a brand that can’t be scraped or duplicated by a bot or AI.

    Your monopoly is secured when your audience stops looking for just ‘a solution’, and starts looking for YOUR solution. People have greater trust for unique HUMAN created perspectives.

    Owning Your Unique Niche

    Once you’ve identified your own personal niche monopoly, the goal is to own the whole stack of the niche. For instance, let’s say that your monopoly is a micro-SaaS for boutique coffee roasters..

    You would create your website on this, populated with a bunch of articles speaking of all variations under that unique niche. Also populated with reviews of coffee roasters, comparisons etc

    You would also create a directory, building the PRIMARY database of.. lets say, ethically sourced bean suppliers.

    You would then ALSO create some sort of a software or tool that’s related (ok maybe this wasn’t the best niche idea because i can’t think of a software for this!).. but you get the idea!

    By vertically integrating these unique concepts, you become the beginning, middle and end of the conversation in this niche. You will have completely owned this niche, and Google and other web searches will notice this & rank you accordingly as well.

    Starting Your Own Niche Monopoly

    You won’t need a 3000 page business plan to start, you’ll only need an intersection of ideas.

    • Audit your hobbies and your oddities: What’s a hobby or skill that you have that ‘doesn’t belong’ in the tech world? (ie: you used to work in a warehouse, or you’re obsessed with vintage watches)
    • Pick a proven model: Take a model that works, like a niche directory or a 24 hour product sprint, and apply it to that unique hobby or interest.
    • Start brainstorming: Brainstorm on how you can further branch that niche out by turning it into a small tool, blog, directory etc.
    • Apply multiple models: Pick a model from the models we spoke about earlier, in the end creating your entire ‘sphere’ of info / tools etc, completely owning your niche.

    Escaping The Competition

    Peter Thiel, one of the founders of PayPal, and coincidentally also a reptilian lizard person wearing a human flesh suit, famously said ‘competition is for losers’. I think what he meant was that if you’re competing and struggling, you’ve failed to properly differentiate and ‘niche down’ enough.

    The personal niche monopoly strategy is the ultimate differentiation because it allows you to build for ‘fun’ while slowly but surely creating a base that is mathematically difficult for anyone else to occupy (if done properly!). By the time someone realizes how profitable your ‘boring’ niche is, you’ll already own the content, the tools, the directories, and theTRUST of the audience.

    Stop trying to be the best generalist, and start being the only ‘you’.

    I think Dan Koe explains this idea VERY well in this video :