Chasing AI Tools for a Year, Zero Output: Reflections from a Serial Entrepreneur

Original Compilation: TechFlow

Introduction: In this article, the author uses his personal experience of chasing AI tools for a year with zero output to dissect a typical psychological trap:

Mistaking “trying new tools” for “building something.” His core argument is—when everyone can use the same models, the only moat is taste and depth, and taste can only be earned through real consequences and sustained focus.

Below is the full translation.

I’ve Seen This Script Before

If you’ve been in the tech world long enough, you’ll notice a pattern.

Some founders chase every new AI tool review on X, while others quietly build their businesses while everyone else is distracted.

Most of us are somewhere in the middle.

We want to build something lasting, but we’re afraid of being left behind. So we chase the frontier, convincing ourselves that “those who see the future first will win.” But history tells us an uncomfortable truth:

Those who see the future first are rarely the ones who reap the rewards. Seeing the frontier and surviving the frontier are two completely different skills.

If you’re already exhausted by this technology cycle, you should read this. Because “early” is not a reward; it’s a trap.

The First Illusion

Some people are naturally drawn to the edges.

They sense shifts in trends earlier than anyone else, catching weak signals before they become consensus. The future reveals itself to them first, not as data, but as an intuition, a glimmer others haven’t yet seen.

The myth we tell ourselves is: seeing first equals winning first. But that’s not how it works.

Google wasn’t the first search engine. Apple wasn’t the first to make a smartphone. You don’t even need to look at history; just look at AI now. Eighteen months ago, most of the companies rushing to slap a thin wrapper on GPT-3 are dead.

The companies winning today started pouring concrete only after the foundation was truly solid.

To be clear: there is value in moving early.

If you’re a founder, using the right tool at the right time can compress months of work into days. If you’re an investor, hands-on experience with these technologies makes every bet sharper.

But there’s a line, and crossing it becomes counterproductive. When “using tools” becomes the goal itself instead of the means, you’re not moving closer to your objective; you’re moving away from it—while feeling highly productive. This is the most dangerous form of distraction because it disguises itself as progress.

Early is not a reward; it’s just the entrance exam.

But the real danger isn’t “early” itself; it’s how “early” changes your brain.

The Persona and Its Wound

An early adopter isn’t just a user profile; it’s a psychological profile.

Think of the scout in a tribe. You know this person; maybe you are this person. You spot patterns others miss. You feel more alive in possibility than in the mundane. You have fifty tabs open, subscribe to three AI newsletters, and have a pile of half-baked projects from last month that were supposed to “change everything.”

These people are an indispensable part of the ecosystem. But every persona has its wound.

For the early adopter, the wound is this—you think proximity to the future automatically grants control over it. You’ll hear a refrain in investment circles: “You have to be using all the tools every day to stay on the cutting edge.”

It sounds logical, and it’s partly true.

Testing new models has tangible value. Understanding how an Agent works sharpens your judgment. But there’s a trap hidden in this advice: you can’t spend your entire life waiting for the latest software update, trying to master every new feature.

I fell for this myself.

For a period last year, I was simultaneously testing four AI coding assistants, three image generators, and two Agent frameworks. I was “staying ahead.” But when I looked back at my actual output for that month—zero. Nothing shipped.

All energy went into evaluation, not execution. I was playing the role of a builder while doing the work of a product reviewer. And the scariest part? The whole process felt incredibly fulfilling.

Every test, every comparison, every new integration felt like forward motion. But it wasn’t. It was just an incredibly sophisticated form of running in place.

This danger is physiological.

Your brain is terrible at distinguishing the “feeling of progress” from “actual progress.” Talking to a friend about your startup idea gives you a dopamine hit, even if you haven’t written a line of code. Having a hundred ideas before breakfast feels like innovation, even if none ever see the light of day. Your reward system cashes the emotional check before the work is done.

Chasing tools triggers exactly this “premature cashing.” Testing a new AI Agent feels like launching a product. Migrating to a new workflow feels like “staying ahead.” Novelty disguises itself as virtue.

But busyness is not an advantage; it’s just a museum of unfinished experiments. This is how foresight turns into self-sabotage.

The best builders don’t have speed; they have something else.

The Hidden Cost of the Frontier

When you’re too early, everything is more expensive.

Tools break. Workflows fail. Interfaces change overnight. Standards don’t exist. Pioneers spend more time fixing the plumbing than actually using the water.

Then there’s the social cost. The world hasn’t caught up. Customers don’t see the need. Peers are tired of hearing you talk about the future. You carry conviction, but with zero external validation. It’s a lonely and expensive position.

The deepest cost? Burnout.

Burnout happens when belief outruns rhythm. You see the trend, go all in, knock on every door—but never actually walk through any of them. You might be early, but nothing in your business is actually compounding.

This is happening everywhere right now. Founders think trying every new model, Agent, and tool is building a competitive edge. It’s not. It’s just accumulating fatigue. You’re cognitively ahead, but completely fragmented in execution. You’ve touched every door but entered no rooms.

But there’s an uncomfortable flip side that most “slow down” advice misses: not being early enough is equally fatal.

For every founder burning out chasing tools, there’s someone in 2023 who dismissed AI as hype, kept building SaaS the old way, and watched a two-person team with an Agent eat their lunch by mid-2025. They had great taste but zero urgency. The graves are symmetrical: one for the scattered, one for the stubborn.

The question isn’t fast or slow; it’s—how do you find the rhythm that compounds?

So what actually separates the burnt-out pioneer from the one who captures the frontier?

The Real Hard Currency

It’s not capital, not coding skills, and certainly not being the first to try a new beta.

When everyone has access to the exact same models, the exact same Agents, the exact same compute, tools cease to be a differentiator. The only advantage left is: you know what to do with these tools. That requires taste. And taste is built on an invisible asset—attention.

Not attention in the social media sense—not clicks, impressions, or followers. The deeper kind:

The quality of focus you bring to the work in front of you. The ability to choose what to look at—and perhaps more importantly—what not to look at.

“Taste” here has a specific meaning. It’s being able to look at a new AI tool and know within ten minutes whether it solves a real problem or just has a flashy demo.

It’s knowing which of the thousand AI-generated options actually matters—not because you analyzed each one, but because you’ve done enough real-world work to sense what’s missing from the analysis.

Taste is judgment shaped by consequences, not acquired by consuming content. You have to earn taste by shipping things that failed, by placing bets that cost you, by sitting with decisions long enough to feel their weight. You can’t scroll your way to taste; you have to earn it.

Look at David Holz from Midjourney. While everyone was scrambling to build enterprise B2B interfaces, he put his entire product inside a Discord server. Clunky. Weird. But it let him focus 100% of his attention on the core model, not on building UI. He ignored the noise and chose depth over convention. He built a dominant company with a tiny team.

Most people miss the key to this example. Holz wasn’t “slow.” He was extremely early on image generation—experimenting with AI years before the current wave. The difference was, he didn’t scatter his attention across every new AI development. He went deep on one thing. He used early exposure to cultivate taste, to judge where to focus, and then went all in. That’s the pattern: the frontier can sharpen your judgment, but only if you let that judgment narrow your battlefield, not expand it.

Power, in its oldest sense, is making something out of nothing. The best founders do exactly that. They take raw possibility and shape it into something coherent. But that requires sustained focus, which means picking one door and walking all the way through it.

The fatal mistake of the early adopter is treating attention as cheap. As if you can sprinkle it across every new frontier and still have enough left to make something real. You cannot cultivate taste if you spend all your time reacting to tools instead of building judgment about what actually matters. Spreading yourself thin across every hype cycle isn’t building an advantage; it’s burning the only resource that compounds.

The secret isn’t speed; it’s depth.

The Builder Who Waited

I want to make this concrete because “the quiet builder” can’t just be a nice label; you have to see what it actually looks like.

I know a founder—let’s call him James, as he prefers. He runs a logistics optimization company. When the AI wave hit in late 2022, his entire peer group went into a frenzy. They slapped GPT onto their products, put “AI-powered features” in press releases, hired prompt engineers. The standard playbook.

James did something different. He spent three months studying failure cases.

He talked to customers who had tried competitors’ new AI features and found them unreliable. He mapped out precisely where in his own product AI could deliver real value and where it would just add complexity without return. He read papers, tested models privately with his own data, and announced nothing.

For six months, investors were anxious. Competitors got media coverage. The board wanted to know the AI roadmap.

Then in Q3 2024, he made his move. He integrated a fine-tuned model into the route optimization workflow—the very thing his product was already best at. Customer costs dropped 31%. Not some “AI-powered” sidebar chatbot. Just a precise integration that made the product’s strongest point significantly stronger.

His competitors each built a dozen AI features. James built one. His retention rate jumped 40% in a quarter. Two of those competitors later shut down.

This is what the quiet builder actually looks like. Not someone ignoring AI, but someone who used early exposure to figure out where AI actually mattered in his world, then moved decisively when the timing was right. Cognitively early, operationally patient, surgically precise when moving.

The Real Transformation

Every great founder story, squint, has the same shape.

Leave the known world, enter the wilderness, face trials, and return changed. But what no one says is: many get lost in the wilderness and never come back.

The early adopter’s journey is this pattern. You leave consensus, step into the frontier, battle broken tools, skeptical peers, unstable markets, and the constant temptation of novelty. The question is whether you return with the prize or get consumed by the frontier.

The immature early adopter thinks acceleration is the answer. More tools, more experiments, closer to the future.

But the mature builder learns the harder thing. Rhythm. Restraint. Real advantage almost never comes from being “firstest,” but from turning insight into something coherent.

They don’t just bring back news from the frontier; they bring back discipline.

They bring back systems. They return with a quiet confidence—the kind that doesn’t need to chase every headline because they’re busy building the actual future. While amateurs argue on X about which model is 0.X seconds faster today, the mature builder is quietly integrating yesterday’s model into a workflow that will generate real revenue tomorrow.

They bring back something solid enough to build an empire upon.

Three Pieces of Advice for Frontier Players

Having seen a few cycles, it boils down to three things.

Go deep, not wide. Get hands-on with these technologies, but pick your lane. Test ten tools, then bet on one. Learning comes from depth of use, not breadth of exposure. Every hour spent evaluating the eleventh tool is stolen from mastering the third.

Do the non-replicable thing. The masses will arrive. When they do, the only defensible moats are things that take time—trust, relationships, systems, taste, real reputation earned through real consequences. AI can generate content, code, and analysis, but it can’t generate a decade of industry judgment. Compound your durable assets while the window is still open.

Expand on signal, not hope. Don’t expand because a tool impressed you in a demo, or because a competitor launched a feature. Wait for the market to give a real signal. Paying customers. Retention curves. Inbound demand. Belief in the future is necessary, but belief without validation is just expensive optimism.

Three Actions You Can Use Today

Action One: Stop trying every new tool released this week. Pick two that are genuinely important to your work and ignore all the rest. Your brain will thank you in 48 hours.

Action Two: Write down one durable asset you will build over the next six months. Not a tool, not a shortcut. A skill, a relationship, a system, a body of work. Put it somewhere you see every day.

Action Three: Find one thinker who doesn’t chase traffic but has accumulated wisdom over decades. A teacher, a philosopher, a builder. When the noise gets loud, let their work be your anchor.

The Window Is Closing

This article is sourced from the internet: Chasing AI Tools for a Year, Zero Output: Reflections from a Serial Entrepreneur

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With a technical background and a Master’s degree in Information Systems from Carnegie Mellon University, Dovey Wan previously served as Managing Director at Danhua Capital (DHVC), leading early-stage investments in dozens of blockchain infrastructure projects like Dfinity, Cosmos, and StarkWare. In 2018, she founded Primitive Ventures, an evergreen fund operating entirely with proprietary capital and not accepting external LPs, focusing on investing in crypto-native innovators and funding independent Bitcoin Core developers during the depths of the crypto winter. Today, Primitive Ventures’ portfolio spans over 50 projects across multiple frontier fields including DeFi, zero-knowledge proofs, Bitcoin Layer 2, and AI infrastructure. This article is a summary of key insights from the 168X (@168X_Fortune) program—a premier dialogue platform deeply connecting Eastern wisdom with Western innovation, focusing on cutting-edge fields like AI, blockchain,…