If you’re overwhelmed by AI tools, the fix is to stop researching tools and start researching your own bottleneck. The overwhelm happens because you haven’t named the specific problem you’re solving, and without that name every demo looks equally plausible, so there’s nothing to eliminate anything on.
The mechanism is simple. A demo is built to show a tool at its best, on a use case the vendor picked, because the vendor doesn’t know what your actual problem is and has to guess. So you end up comparing features against an imagined, tidied-up version of your week. A few weeks later you’re paying for a subscription that solved nothing, because you skipped the step that would have told you what needed solving.
I get a version of “where do I even start with AI tools” almost every week. Here’s the four-step process I run before I let myself sign up for anything, and the nine unrelated problems it’s solved this year.
Why does starting with AI tool demos backfire?
A demo is a highlight reel, so the person running it has already picked the workflow that makes the product look inevitable. You’re then evaluating that polished workflow against a fuzzy, aspirational version of your own week, which means you’re comparing two things that don’t exist. The version of your week you’re picturing leaves out the actual six-hour block where your back started aching and you didn’t notice until it hurt to stand up.
That gap is expensive because of when it closes. You find out the tool doesn’t fit your real week only after you’ve used it in your real week, which is usually past the end of the trial and after the invoice has hit your card.
What’s the first step before you evaluate any AI tool?
Find the leak, meaning the specific place where something is visibly breaking rather than a category you assume needs improving. For example, mine was physical: my back started hurting from sitting through six-hour blocks without moving. Sitting still that long compresses the lower back, and the ache shows up hours after the damage is already done, which is why I kept reading it as a work problem when it was a body problem wearing a work problem’s clothes.
A leak usually announces itself long before you go looking for it, in the form of an ache, a complaint you keep repeating, or a task you reschedule every week. The difficulty isn’t spotting it. It’s that admitting the leak is real commits you to fixing it, so it’s easier to keep treating it as background noise.
How do you turn a vague frustration into something a tool can actually solve?
Name the pain in one sentence, with no tool names allowed in the sentence. Mine was: “I don’t stand up until my back tells me to, and by then the damage is done.” That sentence pointed straight at the fix, because it identified the thing doing the interrupting. Something had to interrupt me before the pain did, on a timer I didn’t control.
Compare that to “I need better focus tools,” which points nowhere. It’s too broad to fail against, so it’s also too broad to succeed against, and any tool you buy will seem to satisfy it.
Banning tool names from that sentence is what makes the step work. Writing “I need a habit tracker” means you’ve already chosen the category before you’ve described the problem, so every tool in that category will now look like a reasonable answer regardless of whether it addresses your actual mechanism.
Should you research the tool category or the pain itself?
Research the pain. For the back problem I searched for how other desk workers force themselves to move, rather than “best posture apps 2026,” and Reddit threads taught me more than any app store listing did. They described the mechanism: what people tried, what they abandoned after three weeks, and the reason it stopped working.
The difference comes down to who wrote the text and what they wanted from you. A landing page exists to make the whole category look solved, so it describes the best case. A complaint thread was written by someone who already tried and is telling you what went wrong, which is the information that predicts whether it’ll go wrong for you too.
What does “build for the smallest fixable pain” mean in practice?
Build the narrowest thing that resolves your one sentence, then stop. In my case, that was a desktop popup that interrupts me on a timer to do stretching exercises to strengthen my thigh muscle and help my back.
I skipped step tracking, mood logging and dashboard syncing, since each of those addresses a pain I hadn’t named and might not have. Every extra feature is a bet placed on your behalf by someone who has never seen your week, and you pay for those bets in both money and setup time before you find out whether they were right.
What does this framework look like across different problems?
This is the same four-step move behind everything I’ve shipped this year: ten different pains, ten different tools, the same process each time.
- Can’t find time to write blog posts → I built an SEO/AEO/GEO agent with multiple skills on Claude Code and run it on a schedule every 2 days to help me build my content.
- Wanted clients but didn’t know where they were → I scraped Facebook groups for the questions people actually asked, then answered them. A lead-gen tool would have needed me to define the market first, and defining the market was the thing I couldn’t do yet.
- Kept avoiding the ask → I built Revenue OS, a system that forces the ask, since a CRM would have faithfully recorded that I still hadn’t made it.
- Couldn’t stay consistent with morning pages → I built an app for it, because every general journalling tool I tried made me choose a template before I could write, and that choice was where I quit.
- Overwhelmed by what to post → I found Show Up by Design and scraped top-performing content to study the pattern. A scheduling tool assumes you already know what to say, so it solves the distribution half while leaving the half that was blocking me. It’s the same instinct I see when founders reach for an acronym like AEO or GEO before they’ve worked out what’s broken in their content, which I’ve written about in SEO vs AEO vs GEO: What Actually Changed, and What Didn’t.
- Confused about creatives → a Gemini Gem for illustrations and Canva for carousels, because those are two different jobs with two different output formats, and the all-in-one suites handle one of them well and the other adequately.
- Slide decks used to stall me for hours → Gamma, since the leak was the hours spent nudging boxes rather than any absence of slide software.
- Articles sat there and nobody read them → I repurposed them into a faceless YouTube channel, because I already had the writing and the failure was in distribution, so more writing would have made the problem larger.
- Wanted my own face in my content but stock photos never fit → Higgsfield plus Claude, which only became obvious once I’d named the pain as “generic visuals” instead of “I need a video tool.”
Ten pains, ten different tools, none of them chosen from a demo, and the same four steps each time.
This is also the process behind the AI skills workshops I run for teams, where the session is spent training people to find their own leak before they touch a subscription, since a tour of ten tools produces enthusiasm that decays by the following week. If your team keeps evaluating AI tools without a clear read on what’s actually broken, that’s the gap my AI enablement work is built to close.
Frequently asked questions
How do I know which AI tool I actually need?
Find the leak first, meaning the specific place in your week where something is visibly breaking. Then name that pain in one sentence with no tool names in it, and look for the narrowest tool that resolves that sentence. If you can’t state the pain without naming a tool, you’ve picked the category before you’ve described the problem, so you’re not ready to evaluate anything yet.
What’s the biggest mistake people make when choosing AI tools?
Starting with the demo. A demo shows the tool at its best on a use case the vendor selected, which tells you nothing about whether it fixes your bottleneck, because the vendor built that use case without knowing what your bottleneck is. Research the pain first through complaint threads and other people’s abandoned attempts, since those describe the failure modes a product page is designed to leave out.
Should I take the free trial before I know what I’m solving for?
No, because a trial without a named pain just relocates the guessing rather than ending it. You’ll spend the fourteen days exploring features instead of testing one sentence, so the trial ends with “this seems useful,” which isn’t a finding you can act on.
How many AI tools should a solo founder actually use?
As many as you have named, fixable pains. In my case that’s been close to ten tools across a year, each solving one sentence, which works because the tools stay narrow enough that I never have to remember how to use them. The discipline of one tool per named pain is what keeps the count honest, since an unnamed pain can justify any purchase.
What if I can’t tell what my “leak” is?
Look at what you’re avoiding, what you keep complaining about, or what’s turned up as a physical symptom like a bad back, a bad night’s sleep, or a task you reschedule every week. The leak is usually already visible, and it stays unfixed because naming it commits you to acting on it, which is why the naming step does more work than the searching step.
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