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EngineeringJune 4, 2026· 5 min read
Anatomy of a good bug report for AI agents
Agents don’t need prose. They need targets and evidence. A short field guide to feedback that gets fixed on the first try.
A great report for a human is often a poor one for a machine. Agents reward precision: a selector beats a sentence, an error beats an adjective.
Three ingredients
- Target: a stable selector or XPath the agent can locate without guessing.
- Intent: one plain sentence describing the desired outcome.
- Evidence: the console error or failed request that proves the problem.
Vynix structures every note around exactly these. The result is a report your agent can act on deterministically, and a paper trail you can review later.
Pick the right output
Use Markdown for humans, the AI prompt format for coding agents, and JSON for pipelines. Same note, three shapes: choose per task from the widget toolbar.