Turns supplied AI agent evaluation results into reports that distinguish autonomous success, human-assisted success, failure, timeout, and invalid runs. Makes metric denominators, retries, timing, costs, and comparison conditions explicit to support evidence-based decisions.
中文简介正在准备中。当前显示英语简介。
Separating autonomous and human-assisted success rates
Reporting evaluations with retries and invalid runs
Comparing agents or releases under matched conditions
Audit web or mobile pages and user journeys against an agreed WCAG accessibility standard. Combine automated scans with manual checks to document barriers, prioritize fixes, and record retest results alongside any remaining gaps.
Design agent memory that preserves facts, preferences, and conversation history across sessions. Plan storage, retrieval, and retention separately for each organization or user, with checks for unauthorized access, outdated information, conflicting records, and retrieval quality.
中文简介正在准备中。当前显示英语简介。
Designing memory that remembers preferences across sessions
Separating conversation history by organization and user
Investigating retrieval of outdated or conflicting records
