Hire an AI product price and discount planner

Everything it can hand back

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

• Full cost of delivery per order, and product, gross and contribution margin
• Break-even ad return, break-even cost to win a customer and a score out of 100
• Three test prices with estimated sales, margin and total profit, with the most profitable picked
• The sales jump a discount needs to keep profit, the best depth and a comparison with a bundle or gift
• A verdict on running the discount and a score out of 100 for how safe it is

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 are launching a product and need a first price that you can defend.

• Step 1: Product margin checker. Cost of delivery per order, three margins, break-even ad return, cost to win a customer and a score out of 100.
• Step 2: Pricing decision planner. Three test prices with estimated sales and total profit, the pick, a floor check and the one number to watch.
• Step 3: Discount impact checker. Profit at full price, the sales jump a discount needs, the best depth, an offer comparison and a verdict.
• 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

• Tax is out of the price, and every cost line has a number from you or is marked as a guess.
• Break-even ad return is one divided by gross margin, and you can redo it by hand.
• The three prices each show estimated sales and total profit, labelled as assumptions, and the pick has the highest total profit.
• The discount is taken off full price, with shipping, fulfilment and fees in the costs.
• 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 Alex Hormozi and Kazuo Inamori would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Check the true margin. Product margin checker adds freight, duty, shipping out, packing, fees and a returns allowance to the unit cost. It shows product, gross and contribution margin, and finds break-even ad return and the ad cost the product can carry.
• Set three test prices. Pricing decision planner judges what the product is worth to the buyer and sets three prices that could each work. It estimates sales and total profit at each, checks the floor and names the one number to watch. The sales and profit figures are assumptions that need your past sales data. The pick is only as good as those inputs.
• Test the discount depth. Discount impact checker takes the chosen price and builds the full-price profit per order. It finds the sales jump that holds profit flat, the best depth and whether a bundle or gift does better, then scores the plan.

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 price-a-product-so-it-pays-after-delivery-ads-and-discounts 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/price-a-product-so-it-pays-after-delivery-ads-and-discounts/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 selling price, excluding tax
• Your unit cost, freight, duty and shipping out
• Pick and pack, packaging and payment fees
• Your return and discount rates from the last 90 days (optional)
• Your current ad return, order value and past sales (optional)

Tools and access

• Any good chat AI: Any current chat AI can do the sums if it shows its working. Check one product by hand first.
• Shopify admin: The Cost per item field on each product feeds live margin reports, so your numbers stay current.
• Any good chat AI: Comparing three prices and the arithmetic of total profit is work any strong chat AI handles.
• A spreadsheet: Lets you change a sales guess and see total profit move.
• Shopify: Its reports give you AOV, units per order and discount codes used, which are the inputs this check needs.
• Google Sheets: Keep your cost table and past sales in a sheet, then paste them in.

Functions and deliverables

• Product price and discount planner: Share price and all relevant costs. Get a margin review, three price scenarios and discount checks against your profit floor.
  • Full cost of delivery per order, and product, gross and contribution margin
  • Break-even ad return, break-even cost to win a customer and a score out of 100
  • Three test prices with estimated sales, margin and total profit, with the most profitable picked
  • The sales jump a discount needs to keep profit, the best depth and a comparison with a bundle or gift
  • A verdict on running the discount and a score out of 100 for how safe it is
• Product margin checker: Check your product margin before you set ad targets. Give it a price and every cost. Get gross margin, break-even ROAS and CAC, and a score.
  • Product margin against true gross margin, with the gap in dollars and points
  • Break-even ROAS and break-even CAC
  • The three margins, labelled product, gross (CM2) and contribution (CM3)
  • A go or no-go flag and a score out of 100, with the sum shown
• Pricing decision planner: Set a price from what your product is worth to the buyer. Get three test prices, total profit at each, the best pick and a plan to raise it.
  • What the result is worth to the buyer, with the sums
  • Three prices that could each work, with sales and total profit estimated at each
  • The price with the highest total profit, the gap to the worth and a buyer check
  • A plan to raise a price that is already live
  • A named owner and a review date
• Discount margin and ad-cost checker: Model a discount using price, costs and order size. Get the ad-return target for a profit goal and a rule-based review.
  • The full-price numbers and the same numbers under the discount
  • A supported positive-CPA ad target, or a not-viable/zero-CPA result with its reason
  • A custom planning score only for valid complete inputs; points do not prove success
  • The discount depth with the most profit per order, when your history allows it
  • The same promo run as a percent off, a bundle or buy-one-get-one, and a gift, side by side
• 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.
• Alex Hormozi: Improve an offer, price or lead plan using Alex Hormozi’s recorded frameworks. Check buyer needs, costs and honest promises before adding more leads.
  • Your problem worked on the way Alex Hormozi would: their questions, their method, their push-back
  • The answer or the work, in Alex Hormozi's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step
• Kazuo Inamori: Review team results or pricing using Kazuo Inamori’s recorded approach. Name the owner, show the costs and ask what is fair.
  • Your problem worked on the way Kazuo Inamori would: their questions, their method, their push-back
  • The answer or the work, in Kazuo Inamori'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 launching a product and need a first price that you can defend.
• Your ads show good returns, yet the bank balance does not grow.
• You plan a sale and want to know how deep the discount can go before it costs you money.

Limits to check before starting

• You sell a service or a product with no delivery cost: use a simple hourly rate or project quote sum instead.
• You only want to know if a sale will pay off: use the Discount margin and ad-cost checker.
• You want to read ad results, not set a price: use the Ad results report writer.

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".
• Give it your price and every cost line. Tell it which numbers are guesses.
• Read the margin step before the prices. If the margin is low, fix cost before you test price.
• Take the numbers to your accountant before you set ad targets from them.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/price-a-product-so-it-pays-after-delivery-ads-and-discounts 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.