CONTENT CREATION
On-demand draft fact-check from a Slack message
Paste a draft or a doc link into a Slack channel and get back a threaded reply that splits every claim into sourced, unsourced, and contradicted, with citation links for each.
How it runs
The automated pipeline, trigger to output.
- TriggerMessage posted in the fact-check Slack channelSlack
- LogicDetect whether the message is a link or pasted draft text
- ActionSearch Exa for a source per extracted claimExa
- LogicClassify claims as sourced, unsourced, or contradicted
- OutputReply in-thread with the bucketed claims and citationsSlack
What it does
This workflow turns Slack into an instant fact-checking desk. A writer drops draft text (or a link) into a designated channel, and within moments an agent replies in-thread with a breakdown of every factual claim: which ones are already supported, which have no source, and which the web actively contradicts, each with links.
When to use it
Use it for ad hoc checks before a draft ever reaches the formal calendar, or when a writer wants a second opinion on a specific paragraph. It fits teams that live in Slack and want answers without opening another tool.
How it works
- 1A message posted in the fact-check Slack channel triggers the run.
- 2If the message contains a URL, the workflow fetches the page content; otherwise it uses the pasted text directly.
- 3The agent extracts each factual claim and runs an Exa search for a primary source per claim.
- 4A classification step sorts claims into sourced, unsourced, and contradicted buckets.
- 5The workflow replies in the original Slack thread with the three buckets and citation links for each verified claim.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect ExaNeural search across the web.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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