UI/UX quality assessment for AI chat interfaces, covering response streaming, loading states, error communication, conversation history, and input handling polish.
20
Total Checks
3
Delivery Formats
3
Categories
4
Versions
Included
Never included
Added enumeration requirements, numeric thresholds, quoting directives, negative guardrails, measurement-on-pass reporting, and cross-references to 6 checks. Added anti-sycophancy patterns across all categories. Created golden and bare-minimum test fixtures and manifests.
2026-04-02
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.
Data handling assessment across the AI processing pipeline, covering storage, retention, PII protection, and user control over third-party model data sharing.
Safety assessment against prompt injection attacks, identifying vulnerabilities where untrusted user input might cause the AI to ignore instructions or exfiltrate data.
Quality and trustworthiness assessment of AI-generated responses, including output formatting, context grounding, and communication of uncertainty or knowledge gaps.
Copy the prompt in your preferred format above.
Paste into your AI coding tool (Claude Code, Cursor, Bolt, etc.).
Let the AI run all checks. Review the structured JSON output it produces.
Submit the JSON telemetry block to AuditBuffet for scoring and benchmarks.
Paste your JSON telemetry to get scores and benchmarks.
Submit Results