Hire an AI product market test planner

Everything it can hand back

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

• A short list of five to ten products, each with proof checks, supplier cost and a winner or fluke call
• Ranked gaps in a crowded category, a position for each and a short test
• A score out of 100 for your pick, a verdict and the one thing to fix first
• A small test plan with the guess it checks, the pass numbers set before it runs and a pivot or persevere rule

How it does the job well

• Start from the user problem and the evidence for it, then the solution.
• Write decisions down with the reason and the options you rejected.
• Keep scope small enough to ship and learn. Name what is out of scope.
• Define how success will be measured before building.

Mistakes it avoids

• Treating opinions or one loud request as proven demand.
• Specs that skip edge cases, error states or dependencies.
• Roadmaps with dates but no owners or confidence levels.

What a good result looks like

An example, not your task: You want a product to sell and need proof of demand, room to win and a margin before you order stock.

• Proven product scout file. Five to ten candidate products with proof checks, supplier cost and a winner or fluke call for each.
• Crowded category white space file. Rivals compared, ranked gaps, a position for each gap and a short test.
• Winning product scorer file. Margin sums, checks by area, a score out of 100, a verdict and the first fix.
• MVP experiment planner file. The riskiest guess, the smallest test, pass numbers set before it runs and a pivot or persevere rule.
• 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 Eric Ries and Steve Blank would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Find proven products. Gives you filter settings or free Ad Library searches, a routine for reading each ad and checks for proof. Lists five to ten candidates with a winner or fluke call.
• Find the gap. Compares the leaders on price, reach, taste and buyer. Checks for sameness and a missed shift, then ranks the gaps and gives a position and a test for each.
• Score your pick. Does the margin sums first, then checks price, the problem solved, shop sales, content, shipping, rules and test cash. Gives a score out of 100.
• Plan the first test. Lists the guesses your idea depends on, picks the riskiest and designs the smallest test. Sets pass numbers before the test and a pivot or persevere rule.

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 find-a-product-that-sells-and-a-gap-rivals-leave-open 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/find-a-product-that-sells-and-a-gap-rivals-leave-open/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 market or buyer, such as adults over 50
• Which tool you have for ads, such as the free Facebook Ad Library or a paid ad spy tool
• Your price and margin rules
• Your strengths, such as price, distribution or taste (optional)
• After the pause, a supplier quote, landed cost per unit and your planned price
• Your 90-day cash for tests

Tools and access

• Meta Ad Library: Free. It shows active ads, start dates and image or video formats for any advertiser.
• A paid ad spy tool: Needed for the filters on days running, active ads per brand and impressions. Any tool with those filters works.
• Google Lens: Free. It runs the reverse image search that finds the supplier listing for a product photo.
• Amazon best-seller lists: Free. Show if a category page exists and how it is growing.
• Google Trends: Free. Shows if the category is rising, steady or falling over years.
• Any good chat AI: Any current chat AI can run the comparison if you paste the data in.
• Any good chat AI: Any current chat AI can run the sums and the rule marks. Paste your costs and links.
• Meta Ad Library: Free. Use it to find videos or ads for the content rule and to see if rivals run the product.
• Google Trends: Free. Check the search line for the exact product to see if it is a trend or evergreen.
• Any good chat AI: Ranking guesses and writing a plan is text work.
• A landing page tool such as Carrd or Webflow: Builds a one-page offer for the test in an afternoon.

Functions and deliverables

• Product market test planner: Research products and rival gaps, check a chosen product's costs and plan a small test with a pass rule set in advance.
  • A short list of five to ten products, each with proof checks, supplier cost and a winner or fluke call
  • Ranked gaps in a crowded category, a position for each and a short test
  • A score out of 100 for your pick, a verdict and the one thing to fix first
  • A small test plan with the guess it checks, the pass numbers set before it runs and a pivot or persevere rule
• Advertised product finder: Find proven products to sell. Name your market and get ad spy filters, an ad reading routine and a short list of five to ten products marked winner or fluke.
  • Filter settings you can copy into your tool, or the free searches to run
  • A list of 5 to 10 candidates with advertiser, ad age, ad count, price and angle
  • The longest-running ad to study for each, and what to change so you are not a clone
  • A winner or fluke call for each, a supplier cost check and the rivals to look at
• Crowded market opportunity finder: Find gaps in a crowded product category by price, reach, taste or buyer. Give it the top brands and get ranked gaps, a position for each and a test.
  • A list of gaps, ranked by how much money you could win
  • A one-line position for each gap
  • The first proof you need for the top gap
  • A sea-of-sameness report, shifts the category has missed, and ideas borrowed from far away
  • A one-change product idea and a short test plan
• Product idea viability scorer: Score a winning product idea before you buy stock or run ads. Give it your cost and price. You get 11 rule marks, a score out of 100 and a verdict.
  • The margin sums, with the multiple and the gross profit per unit
  • Each of the 11 rules marked pass, warn or fail, with the points
  • A score out of 100 with the sum shown, and a verdict of go, test small or drop
  • The one thing to fix first, and a one-line record for your shortlist
• MVP experiment planner: Plan an MVP experiment for your product idea. Find the riskiest guess, run the smallest test, and set a pivot or persevere rule first.
  • A ranked list of guesses
  • The riskiest guess and the smallest test for it
  • Pass, fail and middle numbers set in advance
  • A pivot or persevere rule
• Product context file writer: Share product facts, audience and positioning. Get a reviewed context file that other marketing skills can reference.
  • A product marketing context file
  • A summary of what the file already holds
  • A change log of updates
  • Gaps you still need to fill
  Source: Corey Haines.
• Eric Ries: Turn a product plan into testable guesses using Eric Ries’s public approach. Start with the riskiest assumption and measure what customers actually do.
  • Your problem worked on the way Eric Ries would: their questions, their method, their push-back
  • The answer or the work, in Eric Ries's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step
• Steve Blank: Test your startup assumptions with Steve Blank's customer development method. Get a guess list, a one-page model and your next customer interviews.
  • Your problem worked on the way Steve Blank would: their questions, their method, their push-back
  • The answer or the work, in Steve Blank'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 want a product to sell and need proof of demand, room to win and a margin before you order stock.
• You are eyeing a crowded category and want to know if a gap is really open.
• You have a product idea and want a cheap test with a clear pass or fail.

Limits to check before starting

• You sell a service or a digital product. Use the Best customer finder to learn who wants it, then test it with a plain offer.
• You already have a product and need to know why buyers hold back. Use the Customer objection coverage checker.
• You want to study rival ads, not pick a product. Use the Competitor ad opportunity finder.

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".
• Tell it the market, your tool and your margin rules. It checks ad lengths and repeats, which you read and paste in.
• When it pauses, pick one product from the shortlist, get a supplier quote, work out landed cost per unit and decide the price you would charge.
• Set the pass number for the test before you run it, and keep to it.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/find-a-product-that-sells-and-a-gap-rivals-leave-open 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.