Hire an AI customer quote image ad maker

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• A ranked list of why people buy, in their exact words
• Quote image ads with the layout, feed text and a flag on any quote to check first
• A review card ad built from one real review
• A check of every ad against Facebook and Instagram ad rules
• The ad types your set still lacks, with a brief for the next three

How it does the job well

• Start from the user's task and the content, then the layout. Decoration comes last.
• Design every state: empty, loading, error, long text and mobile.
• Keep one visual system. Reuse spacing, type and colour tokens instead of one-off values.
• Check text contrast (at least 4.5:1 for body text) and keyboard focus as you go.

Mistakes it avoids

• Designing only the happy path at desktop width.
• Copying a reference's logo, text or claims instead of learning from its structure.
• Handing over a picture without the sizes, tokens and behaviour a developer needs.

What a good result looks like

An example, not your task: You have good reviews and want the ads to use the customers' own words.

• Step 1 file: buying reasons. Ranked reasons people buy, with the exact phrases, review numbers and whether each counts as a pattern.
• Step 2 file: quote image ads. Quote ads sorted by job, with layout, feed text and a flag on any quote to check first.
• Step 3 file: review card ad. One plain review card built from a real review, with its real stars and word for word lines.
• Step 4 file: ad rules check. A verdict on each ad against Facebook and Instagram ad rules, with the exact line flagged.
• Step 5 file: missing ad types. The ad types your set leaves out, with a short brief for the next three.
• HAND-BACK SUMMARY. Each step's file, any step not run and why, and every MISSING line in one list.

How the work is checked

• Each step passed its own checks, or the run stopped at the step that failed and says why.
• The steps ran in order, and each one used the result of the one before.
• Nothing was invented to fill a gap. Every gap is a MISSING: line.
• Nothing was sent, published or paid for without a clear yes.
• States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

A second opinion

Before it hands back, your AI reviews the draft the way Clayton Christensen and Robert Cialdini would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Finds why people buy. Uses the buying reasons skill to copy out each phrase, tag its force, count separate people and rank the reasons.
• Builds the quote ads. Uses the quote ad skill to sort each quote by the job it does, lock the phrase word for word and write the feed text.
• Adds a review card. Uses the review card skill to find a real review whose grumble only exists because the product works, and copies it with its real stars.
• Checks the ads against Meta rules. Uses the ad rules checker on the quote ads and the review card to flag review claims and rate each finding.
• Finds the types still missing. Uses the gap finder to code every ad by type and brief the next three.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id quote-image-ads only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/quote-image-ads/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

• Your customer reviews, copied as written, with where each came from
• Your product facts and photos (optional)
• Your target countries, for the ad rules check (optional)

Helpful context (optional)

• Reviews from more than one site, so reasons can count as patterns
• The review ID or link for each quote
• Your own photos of the product, in use

Tools and access

• Claude: Holds all your reviews, every review number and five steps of work in one run.
• GPT Image: Keeps short quoted words readable in the picture.
• Claude: Long-context chat models can take hundreds of reviews in one chat with their source IDs. Check your plan's limit.
• Gemini: Also takes long inputs, and works inside Google Sheets if your reviews live there.
• Google Sheets: One row per quote with its source ID lets you count separate people with COUNTUNIQUE, so counts can be checked.
• Ideogram: Is made for text in images, and on paid plans you can fix one wrong letter without starting over.
• GPT Image: Lets you mark one word on the finished ad and fix it, instead of making the ad again from the brief.
• Meta Ads Manager: Its previews show how the headline and main text are cut in each placement, so you can check the 27 characters.
• Claude: Sorts a long paste of reviews against the test and quotes the one it picks word for word.
• Canva: Sets the card as real text, so the review stays exact and the stars are the ones you place.
• Figma: Same job with finer control, and the card can be saved as a component for the next review.
• Any good chat AI: Claude, ChatGPT and Gemini all read the rule table well; what matters is pasting the ad exactly as it will run.
• Meta Ads Manager: Its rejection notice and Business Support Home give the reason for each rejected ad, so you can test the skill against real decisions.
• Meta Ads Manager: Exports impressions, link clicks, purchases and spend per ad for the dates you pick.
• Google Sheets: Works out medians and click rates from the export, so you can check its numbers.
• Any good chat AI: Coding ads and writing cards works well in any strong chat AI that can read images.

Functions and deliverables

• Customer quote image ad maker: Share real reviews, product facts and image assets. Get quote-ad concepts, a review-card ad, policy findings and briefs for missing ad types.
  • A ranked list of why people buy, in their exact words
  • Quote image ads with the layout, feed text and a flag on any quote to check first
  • A review card ad built from one real review
  • A check of every ad against Facebook and Instagram ad rules
  • The ad types your set still lacks, with a brief for the next three
• Customer buying reasons finder: Paste reviews or support emails to find customer buying reasons in their exact words, ranked by how many people said them, with a score out of 100.
  • A ranked map of reasons by force, each with its best exact quote, backups and how many people said it
  • The reasons customers give that your brand never says
  • A ranked list of what nearly stopped them, in customers' words
  • A "check before use" list of risky quotes, with the reason each is flagged
  • A score out of 100 for how many of its own checks the map passes, with each miss named
• Image ad maker from customer quotes: Turn real customer reviews into quote image ads. Paste your best lines and get ad briefs, feed text and flags for quotes to check first.
  • A brief for each ad, with its job, layout, locked phrase and scene
  • A headline, a short and a long main text, and an optional description for each ad
  • A record of any quote that was shortened, and why
  • Flags for quotes that need checking before they run as paid ads
• Complaint review image ad maker: Turn your real customer reviews into a plain review card for a story ad. It picks one grumble that proves the product works, or tells you to stop.
  • A pass or fail for every review, with a one-line reason
  • The winning review's words, stars, name and date, exactly as allowed
  • A blank card and a short line to run under the image
  • How to build the card with exact words, or a clear MISSING and what to use instead
  • Any of the skill's five checks the card still missed, one line each, or none
• Meta ad policy checker: Share ad copy, images or a script. Get possible policy issues, a custom score and changes to review.
  • A verdict (ready to run, fix first, or likely rejected) and the main reason
  • A compliance score out of 100, now and after the fixes, with the sum shown
  • A table of findings with the rule group, the exact spot, the problem and the fix
  • Settings to change outside the ad, such as age targeting
  • Your ad rewritten with every fix in, changed lines marked
  • What passed, and what it couldn't check without more information
• Image ad variety reviewer: Find the image ad types you're missing. Attach your ads and results to get an ad gap grid, up to three test briefs and a score out of 100.
  • A grid of your ads by type and look, with the empty spots shown
  • The signals in your numbers, each with the figures behind it
  • Up to three ad cards, each a different type, traced to a signal
  • A log of claims that were cut, so they don't creep back in
  • A score out of 100 for the plan, with one line for each check it missed
• Brand profile builder: Share your website. Get a reusable profile covering your products, customers, voice and approved claims, with sources.
  • A folder of eight plain files, from a start file for your AI to a claims list and a change log
  • A tag on every fact, and every claim marked approved, pending or banned
  • A two-sentence diagnosis of your biggest gap, and a list of what's missing and who can answer it
  • A short slice for your next step, if you name one
• Clayton Christensen: Explore why customers buy using Clayton Christensen’s recorded approach. Start with a real situation, the struggle and what the buyer used before.
  • Your problem worked on the way Clayton Christensen would: their questions, their method, their push-back
  • The answer or the work, in Clayton Christensen's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step
• Robert Cialdini: Review a pitch, page or request using Robert Cialdini’s recorded principles. Use real proof, honest expertise and genuine limits without pressure or tricks.
  • Your problem worked on the way Robert Cialdini would: their questions, their method, their push-back
  • The answer or the work, in Robert Cialdini's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step

Tasks you can use it for

• You have good reviews and want the ads to use the customers' own words.
• Your image ads sound like brand copy, and you want them to sound like people.
• You want to know which kinds of ad your set is missing.

Limits to check before starting

• You have no real reviews yet: write ads from your product facts with the Fact-based ad copy writer, or collect reviews first.
• You only want one quote ad: use the Image ad maker from customer quotes.
• You only want to know why people buy: run the buying reasons step alone, or use the Buyer research image ad maker.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

• Download the handoff pack. It's a zip with HANDOFF.md and every skill file this workflow uses.
• Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
• Have your inputs ready. Paste your reviews as written and say where each one came from.
• Check the ranked reasons and the quotes it picked before you make any pictures.
• Make the images with your image tool, using the prompts and your real photos. Some image tools are paid or need an API key.
• Check you may use each reviewer's words in an ad. Run the ad rules check before you publish anything.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/quote-image-ads for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.