AI prototype unreliable? Scope it down: let the agent do less, then grow
brandon_galang · x · 2026-11-13
brandongalang shares a practical method for making flaky AI prototypes reliable: shrink the scope instead of asking the agent to build the full production version in one shot.
- Common trap: requesting the whole production build while the end state is still unclear
- Ask the agent to help scope a smaller version, propose options, explain tradeoffs, and list what to verify before relying on it
- Pick the narrow version, define what a good result looks like, and iterate on real work
- Smaller scope means fewer behaviors to understand and check; add the next piece once it's reliable
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