AI AGENTS
Build and refresh a sourced statistics library for marketing
An agent maintains a Notion library of approved marketing stats — finding the primary source for each, recording the as-of date.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled refresh run
- ActionRead stat entries and claimed sourcesNotion
- ActionRe-confirm primary source and pull passageExa
- ActionVerify match and extract as-of dateOpenAI
- LogicStat verified or stale?
- OutputUpdate citations or mark needs-review in NotionNotion
What it does
Instead of fact-checking the same claims over and over, this agent builds a reusable source of truth. On a schedule it walks your statistics library, confirms each stat still resolves to a live primary source, captures the publication date and exact quote, and marks stats whose sources have 404'd or been superseded. Writers then pull only pre-vetted, dated stats into copy.
When to use it
For teams that reuse the same headline numbers across many assets and want one authoritative, continuously verified stat library rather than scattered unsourced figures.
How it works
- 1A scheduled run starts the refresh.
- 2The agent reads each stat entry and its claimed source from the Notion database.
- 3It searches Exa to locate or re-confirm the primary source and pulls the supporting passage.
- 4OpenAI checks the stat matches the source and extracts the as-of date.
- 5A branch separates verified stats from broken or outdated ones.
- 6Verified entries are updated with citation and date in Notion; stale ones are marked needs-review.
Set it up
What you configure once, before turning it on.
- 1Connect NotionPages, databases, comments.
- 2Connect ExaNeural search across the web.
- 3Connect OpenAIModels, embeddings, files.
- 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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Resolved Incident to Public Troubleshooting Doc
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On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Weekly On-Call Doc-Gap Digest
Each week the agent reviews every Sentry issue resolved in the last 7 days, ranks the ones whose runbook coverage is missing or thin.
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.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.