CONTENT CREATION
Evergreen Post Refresh: On-Demand URL Fact-Check & Rewrite
Send a single post URL to a webhook and get back a fact-checked, rewritten version: it scrapes the live page, verifies every stat against current sources, rewrites outdated claims.
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook receives post URLHTTP webhook
- ActionScrape live page to markdownFirecrawl
- ActionIdentify datable claims and search queries (LLM)OpenAI
- ActionFind current sources per claimBrave Search
- ActionConfirm fresh figures from top sourcesFirecrawl
- ActionRewrite outdated claims + build citations (LLM)OpenAI
- OutputReturn refreshed draft and sources via webhookHTTP webhook
What it does
Turns one stale article into a refreshed draft on demand. You hand the workflow a URL; it returns rewritten copy with every statistic re-verified and a list of the fresh sources it used, so an editor can approve in minutes instead of researching from scratch.
When to use it
A writer or editor spots an old post that needs updating now — not on the next scheduled sweep. This gives them a one-click refresh they can trigger from a browser bookmarklet, an internal tool, or a form.
How it works
- 1A webhook receives the target post URL.
- 2Firecrawl scrapes the live page into clean markdown.
- 3An LLM identifies each datable claim and proposes a search query for verification.
- 4Brave Search returns current authoritative sources for each claim.
- 5Firecrawl scrapes the top result to confirm the live figure.
- 6The LLM rewrites outdated claims inline and assembles a citation list.
- 7The webhook response returns the refreshed draft and sources to the caller.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect FirecrawlCrawl, scrape, structured extract.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect Brave SearchWeb, news, image, video search.
- 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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Run this workflow in your colony.
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