CONTENT CREATION

Detect UI screenshot drift in ReadMe docs and queue regeneration

Recaptures every screenshot referenced in your ReadMe docs against the live product UI, diffs old versus new, and queues any visually drifted image for editorial review.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule fires the freshness audit
  • ActionPull ReadMe docs and extract screenshot + source URLsReadMeReadMe
  • ActionRecapture each live page in a headless browserBrowserbase
  • LogicPixel-diff new vs current; split drifted from unchanged
  • ActionUpload drifted candidate captures to S3AWS S3
  • OutputPost before/after drift review to SlackSlack

What it does

Walks your published ReadMe documentation, finds every embedded product screenshot, re-navigates to the matching live URL in a real browser, captures a fresh image, and pixel-diffs it against the version in the doc. Images that have drifted past a threshold get queued for a human to approve the replacement.

When to use it

Run it nightly when your product UI ships frequently and screenshots silently go stale. It catches the gap between a UI change and a docs update before customers file a confused support ticket.

How it works

  1. 1A nightly schedule fires the audit.
  2. 2ReadMe action pulls all docs and extracts image URLs plus the live page each screenshot maps to.
  3. 3Browserbase loads each live page in a headless session and captures a fresh screenshot.
  4. 4A diff logic step compares pixel delta against a drift threshold and splits matched (skip) from drifted (act).
  5. 5For drifted images, the new capture is uploaded to S3 as the candidate replacement.
  6. 6A Slack message posts each drift with before/after thumbnails for an editor to approve.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ReadMeAPI docs, changelog, auth.
  2. 2
    Connect BrowserbaseHeadless browsers, sessions, replays.
  3. 3
    Connect AWS S3Buckets, objects, signed URLs.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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