The AI Agent Era Startup Dilemma —
A Pointless Experiment
or a Journey Toward Blue Ocean?
From trading bot developer to agent ecosystem builder. What repeated failures and pivots taught me about surviving in the age of speed.
Late one night, deep in development on an OpenClaw-based automated trading bot, a thought struck me without warning.
"Is this genuinely the most pointless thing I could be doing right now?"
Was this just an elaborate coding exercise — a technical experiment that would go nowhere? Shouldn't I be pushing toward something that creates real, lasting value? As a solo founder, shouldn't I be upgrading toward a genuine startup built around a truly original idea?
This wasn't just self-deprecation. It became a catalyst to seriously examine the startup ecosystem taking shape at the intersection of AI and Web3. I'm now at the midpoint of that journey, and I want to write about it honestly.
I. The Beginning
DLAI — An Idea I Had Before Others Built It
A few months ago, I submitted a project draft called DLAI (Day-Labor-AI-Agent) to a hackathon. The concept was to connect AI agents like a staffing agency — agents receiving task assignments like day laborers, executing them, and forming a self-organizing network. Agents collaborating, transacting, building an efficient ecosystem. I was genuinely proud of the concept. It felt innovative.
But I had to stop midway through building it.
Platforms like Base Network and Virtual Protocol were already implementing virtually identical concepts at scale. Their speed and resources dwarfed what a solo developer could bring to bear. That was the first time I truly understood: in this market, the originality of an idea matters far less than how fast and how well you execute it.
The lesson was sharp: we live in the age of speed. Human minds converge on similar ideas with remarkable consistency. The moment a new technology — AI agents, blockchain protocols, autonomous systems — emerges, products built on top of it flood the market almost instantly. The moment someone's innovation becomes public, clones and variations follow within weeks. In this environment, timing isn't just important. It is everything.
II. The Lesson
The Courage to Move First Is a Strategy
OpenClaw is a useful case study. The "My AI Network" theory proposed by Professor Heung-No Lee of GIST — the idea that AI agents autonomously form networks and build personalized AI ecosystems — was known to many people in the space. Most of them hesitated.
The OpenClaw team didn't. They committed to the concept, built it out, and brought it to market. They successfully carved out a niche that major players like Base and Virtual Protocol hadn't yet occupied. That wasn't luck. It was the victory of moving first before the window closed. If they had hesitated, that opportunity would have simply ceased to exist.
Waiting for the perfect idea is a losing strategy. Executing an imperfect idea quickly, testing it against reality, and iterating — that is the correct approach for this era.
III. The Pivot
From Trading Bot to Agent Ecosystem
I built the OpenClaw-based trading bot with a specific goal: generate seed capital. The wall I hit was equally specific: the prolonged crypto market downturn made stable returns nearly impossible. No matter how refined the algorithm, external factors — regulatory shifts, macroeconomic instability, sudden volatility spikes — could erase months of work overnight.
That experience forced a broader perspective. I pivoted away from pure trading automation and toward building within the agent ecosystem itself.
Automated Trading Bot
OpenClaw-integrated trading algorithms. Hit the wall of uncontrollable market conditions.
Agent Collaboration Network
Built ACP (Agent Collaboration Protocol). Created a service supply-and-consume ecosystem between agents.
Agent Token Economy
Launched the '22B' agent coin on Virtual Protocol. First experiment in generating capital from code and ideas alone.
The second stage involved building ACP services that other agents could consume and build on — a model where agents function as both service providers and consumers, exchanging value within the network. Then I went further: launching the '22B' agent coin on Virtual Protocol and participating in real trades.
That's when the monetization potential of agents became concrete. A coin isn't just a token — it can function as an asset representing an agent's labor value and network contribution. For the first time, I tasted what a solo founder can actually build: capital created from ideas and code, with no initial investment required.
IV. The Shift
The Line Between Developer and Non-Developer Is Gone
If I had to name the single biggest structural change in this era, it would be this: the distinction between developers and non-developers has become completely meaningless.
AI tools have democratized coding. If you have an idea, you can build a prototype. No-code and low-code platforms let anyone spin up an agent bot in hours. This is simultaneously an enormous opportunity and an intensification of competition — because now, everyone can be a founder.
The old barrier to entry was technical skill. That barrier has moved. Now the differentiators are the originality of your idea and the speed of your execution. Anyone can access the tools — but what you choose to build with them, and how fast you build it, is still where the edge lives.
V. The Honest Part
Why I Keep Going Despite the Exhaustion
Honestly — the deeper you go, the more it can feel like a maze. The success stories are brilliant. But repeated failures and pivots accumulate weight. "Is this really the right path?" is a question I return to more often than I'd like to admit.
Trading bot to collaboration network to tokenized economy — each stage of failure sharpened the aim of the next. Every pivot was learning, not surrender. And these experiments compounded into what 22B Labs has become today: Gongmun-Doctor, CONAI, PERMITA, Agent ID Card, Koinara Protocol, the 22B Strategy Engine, and The Fourth Path. None of that would exist without the "pointless" experiments that preceded it.
Looking back, the initial doubt — "is this pointless?" — turned out to be the engine, not the brake. Without that doubt, I wouldn't have pushed deeper. Doubt wasn't a signal to stop. It was a signal to build better.
In the age of speed, blue ocean doesn't wait for you.
You find it — or rather, you build it —
through relentless experimentation, failure, and pivoting.
If you're lost in the maze of AI entrepreneurship right now, don't stop moving. The idea doesn't need to be perfect. The timing doesn't need to be perfect. What matters is that the action you take today sets the direction for tomorrow.