Real workflows people are running with AI agents on Meta, Google, Klaviyo and Shopify. Each one has its source, the tools used, and the prompt where it was shared.
Meta adsX · Oct 11, 2026
Generate 20 paused ad variants from your 3 lowest-CPL ads
Pulls 30 days of ad-level data, picks the three ads with the lowest CPL, and writes 20 new hooks and angles on the same offer and landing page. They're created in a new ad set, all paused, and the agent is told never to activate or change budgets.
goal: 20 new ad variants for ad account [ID]. use the meta ads MCP to pull the last 30 days at ad level and pick the 3 ads w/ the lowest CPL. write 20 variants (new hooks & angles, same offer, same landing page). create them under a new ad set, all PAUSED. never call ads_activate_entity and never change budgets. when you're done, send me the list: ad name, hook, which winner it's based on.
CreativeX · Jun 18, 2026
One Claude session runs a supplement brand's weekly creative engine
A Monday research run sweeps 15 competitors in the Meta Ad Library (flagging ads live 60+ days), tears down their landing pages and mines Reddit language. It then writes 25 hooks and 5 storyboards and produces 10 to 15 videos a week in Higgsfield. A daily Meta check flags frequency over 3.5 or falling ROAS, and a weekly kill and scale list feeds the next round.
Pulls last month's numbers from Meta and the client's analytics, rebuilds the campaign around what worked, refines the creatives, and sets everything up through the Meta Ads MCP with cookieless tracking.
An always-on loop: test hooks, angles and offers, then fix landing page drop-offs
Give the agent your offer, audience, budget and target CPA. It writes copy and creative variations, runs A/B tests on hooks, angles and offers, reads analytics and the landing page to find drop-offs, tests fixes, and cuts losers and scales winners within budget.
Tear down competitors' emails, then build your Klaviyo flows from the breakdown
Pull emails from strong brands with Trendtrack, have the agent break down what they do, build your own brand design guide from it, then create flows through the Klaviyo MCP as image-based or HTML emails.
A weekly search-term review skill for every client, delivered to Slack
Each client gets a Claude Project with its context. A custom skill classifies search terms and recommends negatives into a color-coded spreadsheet. Cowork runs it weekly per account and sends the sheet to Slack, and a human applies the negatives.
Negative keywords from 3-run consensus classification
Pulls 30 days of search terms across an MCC, classifies each query three times, and only surfaces negatives where at least 2 of 3 runs agree. A human reviews them, then a two-step dry-run and approve upload pushes them live.
A dry-run, approve, execute guardrail for any agent that edits Google Ads
A skill that forces a preview of exactly what will change (entities, current vs. proposed values, reversibility) and requires a human-typed approval before any budget, keyword, conversion or negative change runs.
A Monday-morning Klaviyo performance digest, written automatically
Every Monday, Cowork pulls last week's campaign and flow performance from Klaviyo, writes a plain-English summary of wins, underperformers and next steps, and saves it as a formatted doc.
Audit every active flow and get a prioritized fix-it list
The agent pulls flow metrics, flags weak open rates and drop-off points, and writes a structured, prioritized list of fixes you review before changing anything.
Audit all my active flows. Pull performance metrics, flag any with open rates under 20% or drop-off points, and write me a prioritized fix-it list.
KlaviyoBlog
Write re-engagement copy from a real lapsed-customer segment
Pull a segment of lapsed purchasers (90+ days) from Klaviyo, have the agent write three subject line variants and body copy for a re-engagement flow based on that segment's characteristics, and save drafts to a campaign folder.
90-day Meta ad review turned into a 3-slide team deck
Meta's own suggested prompt for its small-business AI: review 90 days of ad performance, find what top ad sets share, recommend changes for the next 30 days, and build a shareable deck.
Review my ad performance over the last 90 days: what's working, what's not? What do my top ad sets have in common, and what should I change in the next 30 days? Then, turn the analysis into a 3-slide deck I can share with my team.
ResearchBlog · Aug 19, 2026
Benchmark organic performance against five comparable brands
Meta AI analyzes public content and engagement from similar brands on Facebook and Instagram and tells you where you're ahead or behind and what to change. It checks the brand list with you first.
Benchmark my organic performance against 5 top and comparable brands in my space - am I ahead or behind, what's driving the gap, and what should I change? Check the brand list with me first.
ResearchBlog · Sep 15, 2026
An agent that checks Meta's Help Center and developer docs every Monday
Jon Loomer has his Muse agent check Meta's Help Center and developer pages for changes every Monday morning. He also used it to build a Value Rules Decision Tool for advertisers.
Weekly Meta account audit grounded in a brand context file
Load a claude.md with your ICP, offers, voice and a log of tests you've killed. Then a Monday audit pulls 30 and 90-day performance, top and bottom ad sets, creative fatigue and pixel health, and outputs five prioritized actions for the week.
A 46-check Meta audit subagent: Pixel/CAPI, EMQ, fatigue, structure
A Claude Code subagent that scores a Meta account PASS, WARNING or FAIL across 46 checks, covering Pixel and CAPI health, event match quality, creative diversity and fatigue, learning phase and Advantage+ setup, and lists quick wins under 15 minutes.
Meta audit skill for audiences, creative fatigue and budget pacing
A /meta-ads-audit skill that pulls live campaigns, ad sets and ads, flags frequency over 3, under-pacing below 70% and over-pacing above 110% of budget, and checks audience and pixel health.
Launch, report, optimize and pause Meta ads from Claude Code, with everything created paused
A local MCP server with 24 tools and skills for /ads-launch, /ads-report, /ads-optimize and /ads-pause. A brand folder keeps voice and defaults consistent, and new campaigns are always created paused.
"Monday Ad Op": a weekly 8-step DTC ad loop in one chat
Refresh customer intel, pull competitor ads from the Ad Library, diagnose dying creatives, generate on-brand replacements, animate winners, apply Meta's AI content label, and push live. The author says it takes about 30 minutes per ad account.
Turn competitors' active Meta ads into one weekly creative brief
Runs weekly to scrape competitors' active ads from the Meta Ad Library, summarize recurring angles and hooks, and append a creative brief to Google Sheets.
Spy on competitor ads and generate on-brand alternatives
A four-workflow system that collects competitor Facebook ads, scores them by run time and variation count, analyzes visuals and hooks, and generates on-brand copy and new ad images, all saved to Sheets and Drive.
AI-written Meta Ads reports for every client account, posted to Slack
Built for agencies with 5+ Meta accounts. It generates performance reports across client accounts with AI insights and delivers them to the team in Slack.
Blended ROAS, MER and CAC vs. platform-claimed revenue in one exec brief
Pulls ad spend and platform-reported revenue (Meta, with Google and TikTok placeholders), combines it with real store revenue and new-customer counts, calculates blended ROAS, MER and CAC plus the platform over-claim gap, and writes a short efficiency brief.
A weekly Shopify CRO agent that scores fixes by ICE
Runs every Monday through GitHub Actions. It pulls live store data, analyzes theme code, scores findings by ICE, and sends a digest. A dev agent can open pull requests for a human to review.
Section-by-section landing page audit with one subagent per section
Separate agents review the hero, social proof, pricing, form and footer from screenshots and the DOM, checking clarity, trust, friction, accessibility and analytics gaps, and return a prioritized backlog of test hypotheses.