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Steve Yegge: Govern AI with fences, not sandboxes

Fences, Not Sandboxes

Steve Yegge runs 50–60 AI agents on 21 Claude Max accounts at an equivalent of $122k/month in token spend to build his game. Even with the strongest Fable model, agents make at least one terrible decision daily—like an unplanned release that broke everything. He argues the industry's sandbox-and-guardrail obsession is shaped by child-level models and will become a bottleneck once Fable-tier models get cheap next year. His alternative: 'fences'—legal-style boundaries that let agents operate freely inside, rather than programmatic lockdowns. The post does not detail the technical implementation of fences; it's mostly observations from his own Wheelhouse project.

Why it matters: Steve Yegge's first-person experiment running 50-60 Claude agents at $122K/month with real failure stories. Hits all three HKR axes, but it's an opinion piece rather than a product launch or research breakthrough — lands in the 78-84 band per policy. 82 reflects high data dens...

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