clawdotnet/openclaw.net/community-research-insight

Community Research Insight Extractor

Extracts pain points, stakeholder needs, risks, and practical technology opportunities from community-engaged research discussions. Produces a structured insight brief for human review before publication.

What It Does

Guardrails

• Never invent quotes, names, dates, or statistics.
• Never attribute views to named people unless present in the source.
• Never recommend replacing community engagement with automation.
• Always separate evidence from inference.
• Always flag missing information rather than filling gaps.
• Always require human review before publication or named attribution.

Fallback

If analyze fails (timeout, provider error, or JSON contract failure), analyze_fallback runs a single-turn llm_chat on the same transcript and must satisfy the same JSON output contract. If validate returns REVISE, the preview path is blocked and validation_revise explains what must be fixed before human review.

Output Contract

The analyze, analyze_fallback, and draft steps enforce OutputContract JSON validation. The draft step requires executive_summary, key_pain_points, stakeholder_needs, opportunity_map, risks_and_cautions, and follow_up_questions.

Safety

Outputs are decision-support drafts for human review. They are not final professional advice in research, policy, or community engagement contexts. Named attribution and external publication require explicit reviewer approval.