SOCIAL MEDIA

Research-Backed AMA Answer Pack Builder Agent

An agent that pulls clustered AMA questions from Notion, researches each theme against your docs and the live web, and assembles a sourced.

CategorySocial Media
Enginepaperclip
Difficultyadvanced
Triggermanual
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerManual launch against a Notion cluster page
  • ActionRead question themes from NotionNotionNotion
  • ActionSearch live web for current facts per themePerplexityPerplexity
  • ActionCross-check claims against internal docsConfluenceConfluence
  • LogicDraft sourced answers with confidence notes
  • OutputWrite fact-checked answer pack back to NotionNotionNotion

What it does

Takes the themed question clusters from Notion and, for each theme, an agent gathers supporting facts from your internal knowledge base and live web search, then writes a grounded draft answer with citations so the host isn't guessing or quoting stale numbers live.

When to use it

Use this for high-stakes AMAs (investor, launch, or policy events) where answers must be accurate and defensible, and the host needs every talking point backed by a source rather than a best-guess summary.

How it works

  1. 1A manual trigger launches the agent against a chosen Notion cluster page.
  2. 2The agent reads each question theme from Notion.
  3. 3For each theme it searches the live web with Perplexity for current facts and figures.
  4. 4It cross-checks claims against your internal docs in Confluence.
  5. 5The agent drafts a grounded answer per theme with inline citations and a confidence note.
  6. 6The completed, sourced answer pack is written back to Notion for the host's final review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect NotionPages, databases, comments.
  2. 2
    Connect PerplexitySearch-grounded answers with citations.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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