Create synthetic test cases to assess behavior under edge cases or domain-specific prompts.
Generates test cases covering conditions that are rare in production but consequential when they occur — malformed inputs, contradictory context, boundary values, adversarial phrasings.
Domains where the important failures are rare. Waiting to observe them in production means observing them in production.
Where production volume already surfaces the full range of cases naturally.
Synthetic cases must be labelled as such and never mixed into evaluation sets meant to represent real distribution, or measured performance becomes meaningless.
Simulating the edge cases you thought of, which are by definition not the ones that will surprise you.
Generating reconciliation cases with deliberately contradictory evidence — a bank statement and settlement file that disagree — to check the system escalates rather than picking one.
The source material did not expand this solution into components, and the row says so in its own notes. Expanding it here would be authorship, not research.
Two different absences share this shape. Foundational solutions get built whatever the domain, so no domain links them; the rest are solutions this domain genuinely does not reach for. v_ai_solutions_unlinked separates the two.