AI AGENTS
Decompose an exec question into a sourced decision memo (Notion)
Takes a vague leadership question in chat, breaks it into focused sub-queries, researches each across the web.
How it runs
The automated pipeline, trigger to output.
- TriggerOperator asks an exec question in chat
- LogicDecompose into 3-6 focused sub-queries
- ActionNeural web search per sub-queryExa
- ActionSynthesize findings + draft recommendationOpenAI
- LogicVerify every claim has a citation; flag unsourced
- OutputPublish cited decision memo to NotionNotion
What it does
Turns a one-line executive prompt like "Should we expand into the German market next year?" into a structured, source-backed decision memo. The agent decomposes the question, runs targeted research per sub-question, and assembles a memo with a recommendation, supporting evidence, and inline citations in Notion.
When to use it
When a founder or operator asks a broad strategic question and you want a defensible first-draft answer in minutes instead of a multi-day analyst cycle. Best for market, competitive, and go/no-go questions where the value is in fast, sourced synthesis.
How it works
- 1An operator submits the question in chat.
- 2The agent decomposes it into 3-6 answerable sub-queries (market size, competition, regulation, cost, timing).
- 3For each sub-query it runs a neural search to gather high-signal sources.
- 4An LLM step synthesizes findings per sub-query and drafts a recommendation with confidence and risks.
- 5A logic step checks every claim carries a source; unsourced claims are flagged, not dropped.
- 6The finished memo is published as a new Notion page with citations and an executive summary up top.
Set it up
What you configure once, before turning it on.
- 1Connect ExaNeural search across the web.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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