The Real Problem With AI Agents Nobody's Talking About

What's really happening inside the OpenClaw phenomenon when 250,000 GitHub stars later the most common message in every community forum is still "now what?"

The common story is that agents are magic boxes; type anything and they'll figure it out. But the reality is that installation is now a 10-minute problem while specification remains a 40-hour problem nobody is solving.

In this video, I share the inside scoop on why agent products keep breaking against the same wall:

• Why Brad Mills spent 40 hours writing standards and still ended up micromanaging harder than a human

• How every successful deployment shares the same markdown file architecture that isn't AI at all

• What tacit knowledge compression means for the people with the most to gain from delegation

• Where the real solution lives and why your first agent should be an interviewer, not an assistant

Builders who keep competing on installation, UI, and model selection are optimizing the wrong layer. The person on the other end has to produce a usable spec, and that's the hard problem.

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