MARKETING

Diagnose and propose fixes when a preview fails its CWV budget

When a Vercel preview fails Core Web Vitals, a CEO agent investigates the audit waterfall, identifies the top offenders (heavy images, blocking scripts, layout shifts), and opens…

CategoryMarketing
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook: preview failed CWV budgetHTTP webhook
  • ActionAgent parses Lighthouse waterfallOpenAI
  • LogicRank root causes by metric impact
  • ActionOpen GitHub issue with prioritized fixesGitHubGitHub
  • OutputPost diagnosis summary to SlackSlack

What it does

This workflow does the analysis a senior performance engineer would. When a landing-page preview misses budget, an agent reads the full Lighthouse trace, reasons about why LCP or CLS is bad, and writes an actionable GitHub issue ranking the highest-impact fixes with the elements and bytes responsible.

When to use it

Use it when a red CWV check isn't enough and the team needs to know what to actually change. Great for marketing-owned pages where the people who must fix the issue aren't perf specialists and need concrete, prioritized guidance.

How it works

  1. 1A webhook fires from the launch gate when a preview fails its CWV budget, carrying the audit JSON.
  2. 2The agent parses the Lighthouse waterfall and CWV breakdown.
  3. 3It identifies root causes: largest contentful element, render-blocking resources, unsized media driving layout shift.
  4. 4It drafts prioritized fixes with estimated metric impact for each.
  5. 5It opens a GitHub issue with the findings and posts a summary to Slack so the owner is paged with a plan, not just a failure.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect GitHubRepos, issues, pull requests, actions.
  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.

Run this workflow in your colony.

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