Select a code area to see the exact constraint checklist an AI agent would receive before writing code. This is what makes institutional knowledge computable.
This visualizes the system prompt that would be injected into an AI agent's context, and the behavioral difference it creates. Select an area and click "Visualize" to see the constraint injection flow. No LLM call is made — the disposition data is live from ClickHouse, the behavior description is illustrative.
These are actual code outputs from our evaluation study — the same LLM, same task, with and without a disposition constraint. Not mockups.
Model: Claude Sonnet 4, temperature 1.0, n=10 per condition per scenario.