Agenda Intelligence MD
Turn AI summaries into intelligence briefs
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Vassiliy Lak

Agenda Intelligence MD - Turn AI summaries into intelligence briefs

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Agenda Intelligence MD is different from generic summarization tools: it gives AI agents a structured markdown protocol for public agenda analysis. Instead of only saying “what happened,” agents classify signal vs noise, explain what changed, why it matters, who is affected, what remains uncertain, possible scenarios, and what to watch next. It also supports schema/CLI validation, making outputs more consistent, reviewable, and useful for research and monitoring workflows.

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Vassiliy Lak
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Hey Product Hunt 👋 I built Agenda Intelligence MD because I kept seeing the same problem in AI research agents: They can summarize public information, but they often stop too early. A summary tells you what happened. A useful intelligence brief should also tell you: whether this is noise - a weak signal - a signal - a structural shift, or a trigger event -what changed - why it matters - who is affected - what remains uncertain - what scenarios are possible - what to watch next Agenda Intelligence MD is an open-source PyPI package and markdown protocol that helps AI agents produce more structured public agenda analysis instead of generic summaries. Install: ```bash pip install agenda-intelligence-md ``` It is built for AI agent developers, research workflows, policy/risk analysis, regulatory monitoring, sanctions tracking, geopolitical monitoring, and other cases where “summarize the news” is not enough. This is an early open-source launch, so I’d really value feedback from the PH community: 1. Is the positioning clear? 2. Would this be useful in your agent or research workflow? 3. What fields are missing from the brief structure? 4. What examples should I add to the docs? 5. What would make this easier to adopt? Thanks for checking it out — comments, critique, GitHub stars, issues, and real use cases are very welcome.