AI AGENTS
Deep-Dive Brief with Adversarial Fact-Check Pass
On request, an agent researches a topic across primary sources, drafts a deep-dive brief.
How it runs
The automated pipeline, trigger to output.
- TriggerManual run with topic
- ActionBroad + follow-up searchExa
- ActionScrape source setFirecrawl
- ActionDraft deep-dive briefOpenAI
- LogicAdversarial fact-check gate
- OutputPublish vetted brief to ConfluenceConfluence
What it does
This agent writes a long-form analyst brief and then checks its own work. After drafting, a separate verification pass re-reads the cited sources, flags any claim it can't substantiate, and revises or removes it. Only the fact-checked brief is published, with a confidence note per section.
When to use it
For high-stakes briefs — board memos, investment notes, policy summaries — where an unverified claim is costly. The adversarial second pass trades speed for trustworthiness.
How it works
- 1A manual trigger starts the run with a topic and depth setting.
- 2Exa runs broad and follow-up searches to gather a wide source set.
- 3Firecrawl scrapes the sources into clean text for grounded drafting.
- 4The drafting agent (OpenAI) writes the full brief with inline citations.
- 5A verification agent re-checks every claim against the fetched sources; a logic gate blocks publish if unsupported claims remain and loops back for revision.
- 6The vetted brief is published to a Confluence space with per-section confidence notes.
Set it up
What you configure once, before turning it on.
- 1Connect ExaNeural search across the web.
- 2Connect FirecrawlCrawl, scrape, structured extract.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect ConfluenceSpaces, pages, blueprints.
- 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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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.
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