CONTENT CREATION
Scan Evergreen Pages for Outdated Year References and Stats, File Linear Issues
Crawls your published evergreen library weekly, uses OpenAI to flag stale year mentions, expired stats, and dated claims.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule
- ActionCrawl published evergreen URLsFirecrawl
- ActionFlag stale years, stats, and dated claimsOpenAI
- LogicDrop clean pages, group by severity
- OutputOpen Linear issue per flagged pageLinear
What it does
Beyond traffic decay, this catches factual rot. Each week it crawls your evergreen URLs, and OpenAI scans the text for outdated year references, stats likely past their shelf life, deprecated product names, and time-sensitive claims. Every page with findings becomes a Linear issue listing the exact lines to update.
When to use it
Use it when accuracy, not just ranking, matters — pricing pages, how-to guides, statistics roundups. It surfaces "as of 2023" and stale figures before a reader or a competitor does, independent of whether traffic has dropped yet.
How it works
- 1A weekly schedule triggers the run.
- 2Firecrawl crawls the list of published evergreen URLs and returns clean page text.
- 3OpenAI inspects each page for stale years, expired stats, and dated claims, returning specific flagged passages.
- 4A logic step drops pages with no findings and groups the rest by severity.
- 5The workflow opens a Linear issue per flagged page with the passages and suggested updates, labeled by severity.
Set it up
What you configure once, before turning it on.
- 1Connect FirecrawlCrawl, scrape, structured extract.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 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.
More Content Creation workflows
On-demand: turn a blog URL into narrated B-roll clips
Accepts a blog URL via webhook, scrapes the article, generates a B-roll clip per paragraph with Replicate and a voiceover with ElevenLabs.
Sync a Figma master frame into localized hero renders
Pulls the current master hero frame and its text layers from Figma, generates a localized image variant for each locale defined in Airtable.
Build a Dropbox B-roll library from exported blog drafts
Triggers when a new blog draft file lands in a Dropbox folder, generates a Replicate B-roll clip for each paragraph.
Generate B-roll clips when a blog post is marked Ready in Notion
Watches a Notion blog database for posts flipped to 'Ready', splits the body into paragraphs, and generates a short B-roll video clip for each paragraph with Replicate.
Weekly: clip last week's top blog paragraph and post to socials
Runs on a weekly schedule, picks the highest-traffic paragraph from the past week's posts, generates one polished B-roll clip with Replicate.
On-Demand Screenshot Freshness Report from a Slack Command
A writer requests a freshness check in Slack for a specific docs page; the workflow inspects every screenshot on that page, scores each by age and version gap.
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.