AI AGENTS
Low-Confidence Claim Re-Verifier
Watches your Notion evidence table for rows flagged Low confidence, automatically re-researches each one with fresh sources.
How it runs
The automated pipeline, trigger to output.
- TriggerNotion row flagged Low confidenceNotion
- ActionRe-search the specific claim for fresh sourcesExa
- LogicSources agree, conflict, or inconclusive?
- ActionReconcile and assign new flagOpenAI
- ActionUpdate the row with new flag and noteNotion
- OutputPost resolved-claims digest to SlackSlack
What it does
Closes the loop on weak evidence. Whenever a row in your research evidence table is flagged Low confidence, the agent re-runs targeted searches against that specific claim, looks for independent corroboration, and updates the row: upgrade to Medium/High with the new source, or mark it Disputed with a note explaining the conflict.
When to use it
Use it after a first research pass when you want every shaky claim chased down before a decision or report goes out. Ideal for analysts who triage a large table and need the long tail of uncertain facts resolved without doing it by hand.
How it works
- 1A Notion database trigger fires when a row's confidence is set to Low.
- 2The agent builds a focused query from the claim text and searches for independent sources.
- 3A logic step checks whether new sources agree, conflict, or are inconclusive.
- 4On agreement it upgrades the flag and appends the corroborating link; on conflict it sets the flag to Disputed with an explanatory note.
- 5The updated row is written back to Notion, and a daily digest of resolved claims is posted to Slack.
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.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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