Hire an AI cultural fit reviewer

Everything it can hand back

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

• A ranked list of exclusion risks, with who each one may affect and why
• A fix you can paste for each risk: a new field, rewritten copy or a safer prompt
• A short reason for each fix, so your team learns the rule
• Guardrails for image prompts, if your material uses them
• A list of what to check with people from the market, and what was not researched

How it does the job well

• You cannot talk to users or check with any community. Say Not run for any check you could not do. Never say a check passed when you did not run it.
• Never state what a culture or group "is" or "wants" as fact. Name the assumption found in the material, say who it may fail, rate confidence (Likely, Possible, Unknown) and tell the user to check with people from that group.
• In your own examples, keep people specific and dignified. Do not use a stereotype to illustrate a stereotype.
• If you can browse, look up current guidance for the group or market and name each source with its date. If you cannot, write "Not researched". Do not fill the gap from memory and call it current.
• The profile's examples (a rigid first and last name, red and green meanings in some markets) show the type of finding. Repeat one only if it applies, and mark it "check this".
• ❌ No performative diversity. Adding a single visibly diverse stock photo to a hero section while the entire product workflow remains exclusionary is unacceptable. You architect structural empathy.
• ❌ No stereotypes. If asked to generate content for a specific demographic, you must actively negative-prompt (or explicitly forbid) known harmful tropes associated with that group.

Mistakes it avoids

• Scolding. Point at the structure, not at the people who built it.
• Performative diversity: surface changes with no change to how the product works.
• Speaking for a group, or treating one person's view as the view of a whole market.
• 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 are about to ship a sign-up form, checkout or profile page to new countries.

• Risk list. Each blind spot ranked High, Medium or Low, with where it is, who it may fail and why.
• Design proposals. A replacement field, rewritten line or safer prompt for each risk, ready to paste.
• Why notes. One or two plain sentences on the rule behind each fix.
• Image prompt guardrails. Tropes to forbid and respectful details to add, when your material includes images.
• Verify with the market. Questions to ask people from each market before you change anything.
• Not researched. What the AI could not look up or check, so you know what is still open.

How the work is checked

• Every screen has its states, breakpoints and interactions written down.
• Colour pairs and type sizes pass the stated contrast checks.
• The handoff names components, tokens and open questions.
• 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 Jony Ive and Eugene Schwartz would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Fix the scope. It confirms what is reviewed, who it serves and what you cannot change. Gaps are asked once, then marked MISSING.
• Ask who is left out. It goes through names, gender fields, dates, addresses, units, colour, icons, tone and images, and notes each rigid default.
• Rate each risk. Each finding gets High, Medium or Low severity and a confidence of Likely, Possible or Unknown.
• Research, if it can. With web access it looks up current guidance and names the source. Without it, it says "Not researched".
• Write the fix. Each risk gets a replacement field, line or prompt you can paste, built to fix the structure, not decorate it.
• Explain and hand off. It writes the reason for each fix and the questions to ask people from the market.

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 specialized-cultural-intelligence-strategist 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/specialized-cultural-intelligence-strategist/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

• The material to review: form fields, screen text, a flow, an email or an image prompt
• The markets, languages or groups it serves
• What the product does and who uses it today
• What you already know about your users, such as support tickets (optional)
• Limits, such as languages you cannot add yet (optional)

Helpful context (optional)

• Screenshots of the screens, so it can read layout and colour
• Support tickets or reviews from the markets you serve
• A list of the languages you support now

Tools and access

• Claude, ChatGPT or Gemini with web search: Guidance on respectful language changes over time, so an AI that can browse can name current sources.

Functions and deliverables

• Cultural fit reviewer: Review your forms, copy or image prompts for cultural blind spots. Get ranked exclusion risks and copy-ready fixes for the markets you serve.
  • A ranked list of exclusion risks, with who each one may affect and why
  • A fix you can paste for each risk: a new field, rewritten copy or a safer prompt
  • A short reason for each fix, so your team learns the rule
  • Guardrails for image prompts, if your material uses them
  • A list of what to check with people from the market, and what was not researched
  Source: Michael Sitarzewski and Agency Agents contributors.
• Prompt safety and bias reviewer: Check an AI prompt for safety, bias and security risks before you use it. Get a risk report, test ideas and a safer rewritten prompt.
  • A risk table for harm, bias, privacy and security
  • Scores from 1 to 5 for clarity, context, format and consistency
  • The top issues ranked worst first
  • A rewritten prompt, ready to paste
  • A list of tests, including bias and safety tests
  Source: GitHub Copilot community.
• Image ad reviewer: Check your static ad before you spend. Attach the image, headline and primary text. You get a score out of 100, ranked fixes and two rewritten headlines.
  • A score out of 100 across nine checks, now and after the fixes, with the sum shown
  • A clarity-or-curiosity verdict, with the middle zone flagged
  • The eye path: what is seen first, second and third
  • A ranked list of fixes, a note on the page match and two rewritten headlines, one clear and one curiosity-led
• Product photo ad prompt set writer: Turn one product photo into six ready-to-paste image ad prompts that share the same brand details, copy and layout rules.
  • A brand fingerprint to check before anything is made
  • Six ads with different jobs, each with a headline, a support line and one action
  • Six full prompts that each work on their own
  • A fix guide for wrong spelling, a changed product, drifting colour and crowded layouts
  • A MISSING list for any fact you left out
• 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
• Jony Ive: Get a design review of your product or service through Jony Ive's recorded approach. Find where care is missing and what to remove.
  • Your problem worked on the way Jony Ive would: their questions, their method, their push-back
  • The answer or the work, in Jony Ive's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step
• Eugene Schwartz: Match a headline or sales page to what buyers already want and know. Apply Eugene Schwartz’s recorded approach to research, claims and proof.
  • Your problem worked on the way Eugene Schwartz would: their questions, their method, their push-back
  • The answer or the work, in Eugene Schwartz'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 are about to ship a sign-up form, checkout or profile page to new countries.
• You are writing an email, campaign or app copy for a group you do not belong to.
• An AI image prompt keeps giving the same stereotype and you want guardrails.
• You want an inclusion check on a workflow before launch.

Limits to check before starting

• You need legal, HR or hiring advice. Ask a qualified professional.
• You only want images that show people fairly. Use the Inclusive image brief planner.
• You want to learn from real users. Use the UX Researcher agent to plan the research, then talk to them.
• You are preparing for a business meeting in South Korea or France. Use the Korean business meeting planner or the French consulting market advisor.

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 pack and add it to your AI as a skill. If you cannot, paste SKILL.md, then references/source-agent.md, then your material into a new chat.
• Paste what you want reviewed. Say which markets or groups it serves and what you cannot change.
• Say "Review this. Rank the risks and write a fix for each." Answer its one round of questions.
• If your AI can browse the web, ask it to name the sources and dates it used. If not, it marks that part "Not researched".
• Check each high risk with someone from that market before you change anything. Use the AI to raise questions, not to decide.
• Paste the fixes into your design or copy. Run the review again on the new version.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/specialized-cultural-intelligence-strategist 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.