Data handling assessment across the AI processing pipeline, covering storage, retention, PII protection, and user control over third-party model data sharing.
20
Total Checks
3
Delivery Formats
3
Categories
4
Versions
Included
Never included
Quality hardening: added counting/enumeration, numeric thresholds, anti-sycophancy patterns, cross-references to all checks. Manifests tightened to exact tolerances.
2026-04-03
Added Step 3 submission instructions to chunked format; improved Step 3 in full format (paste URL is now primary submission method)
2026-03-01
Hardened curl commands with -sS -L flags for redirect following and error visibility. Added response validation guidance to Step 3.
2026-02-23
Initial release
2026-02-20
Picked by pack overlap with this audit.
Safety assessment against prompt injection attacks, identifying vulnerabilities where untrusted user input might cause the AI to ignore instructions or exfiltrate data.
UI/UX quality assessment for AI chat interfaces, covering response streaming, loading states, error communication, conversation history, and input handling polish.
Quality and trustworthiness assessment of AI-generated responses, including output formatting, context grounding, and communication of uncertainty or knowledge gaps.
Token management and cost-efficiency patterns to prevent unexpected API bills, covering context growth, token limits, and efficient streaming and caching implementation.
AI-specific interaction conventions assessment covering regeneration controls, feedback mechanisms, and advanced patterns that distinguish polished AI interfaces from basic API wrappers.