Winning Agent UI allows human supervision and permanent error correction
willccbb · x · 2026-08-16
The author discusses AI agent architecture, suggesting that while LLM judges, prompt compilers, and synthetic data flywheels are important, the winning UI will be one where a human watches the agent fail, describes the mistake, and the agent learns from it permanently.
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