Data chatbots
Use when building a copilot that proposes data changes for a human to approve.
--- name: data-chatbots description: >- Design and implement AI copilots that analyze structured data and propose mutations for human approval (draft → apply), not direct writes. Covers prompting, multistep compound requests (remove + add in one turn), FIFO client queuing for long agent loops, validation, session memory, optimistic versioning UX, copilot panel/surface ergonomics (floating-dockable panel, summon-hotkey size state machine), LLM tracing/observability (OpenInference + OTLP session.id grouping, orphan-span fixes, human thumbs up/down feedback annotations), and test matrices. Use when building scheduling/admin chatbots, proposal workflows, human-in-the-loop agents, or reviewing aiebot-style features. ---