AI AGENTS

On-demand board-question deep dive emailed as a Google Doc

Submit a board-level question via a form; the agent runs a deeper multi-round investigation, drafts a long-form sourced analysis in Google Docs.

CategoryAI Agents
EngineSim + Paperclip
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerBoard question submitted via form webhookHTTP webhook
  • ActionFirst research pass on sub-queriesPerplexityPerplexity
  • LogicIdentify gaps, trigger a deeper second round
  • ActionWrite structured long-form sourced memoOpenAI
  • ActionCreate the memo as a Google DocGoogle DriveGoogle Drive
  • OutputEmail the doc link to the requesterGmailGmail

What it does

Handles the heavier questions a board or investor raises, where a one-paragraph brief is not enough. The agent runs an iterative, multi-round investigation, writes a long-form sourced analysis into a new Google Doc, and emails the shareable link.

When to use it

For board prep, investor diligence responses, or major bets where you need a thorough, well-structured document with sections, evidence, and an appendix of sources, not a chat reply.

How it works

  1. 1A requester submits the question through a webhook form.
  2. 2The agent decomposes the question and runs a first research pass.
  3. 3It identifies gaps in the first pass and runs a second, deeper round targeting the weak spots.
  4. 4An LLM step writes a structured long-form memo: summary, analysis per sub-question, risks, recommendation, source appendix.
  5. 5A logic step confirms each section meets a minimum sourcing bar before publishing.
  6. 6The memo is created as a Google Doc and the link is emailed to the requester.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect PerplexitySearch-grounded answers with citations.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect Google DriveDocs, sheets, slides, files.
  5. 5
    Connect GmailRead, draft, send, label.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    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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