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Hire an AI sale offer profit planner

Share product costs, margins and real sale reasons. Get offer options, discount-impact sums and deadline wording only where supported.

What you give

  • Your products, prices and costs per order
  • Your order sizes and repeat rate (optional)
  • How many orders you can handle well in the sale

What you get

  • A ranked list of offer types to test, with the sums behind it
  • The deal in three versions, each with a reason you can prove
  • The ad return you need to hold your profit, a score out of 100 and a verdict
  • A cap, an end date and true lines for each channel

An example

You plan a sale and are not sure what kind of offer to run.

You ask: “Share product costs, margins and real sale reasons. Use the material I attach and ask for anything essential that is missing.”

You get back:

  • Step 1: Store offer picker. The offer types worth testing, ranked, with the margin floor and the sums behind the ranking.
  • Step 2: Reason-why deal writer. The deal in plain words, the buyer's doubts, a reason you can prove, and three versions.
  • Step 3: Discount impact checker. A cost breakdown, the ad return you need to hold profit, a score and a verdict.

An example, not your task.

Hire this specialist

It is free and needs no account. Download the pack, give it to your AI and tell it the job. Your AI asks for anything it is missing, then does the work and checks it.

Download the specialist

Related specialists

Skills and workflows for this job: Make an offer people want

Details

Everything it can hand back

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

  • A ranked list of offer types to test, with the sums behind it
  • The deal in three versions, each with a reason you can prove
  • The ad return you need to hold your profit, a score out of 100 and a verdict
  • A cap, an end date and true lines for each channel

How it does the job well

  • Write for one named audience and one action. Each asset has a single job.
  • Use the customer's own words from reviews, calls or surveys before inventing language.
  • Every claim needs proof the business can show. Leave unproven claims out or mark them.
  • Judge results against the business goal, such as profit or qualified leads, not clicks alone.

Mistakes it avoids

  • Generic copy that could fit any brand.
  • Comparing periods or campaigns that are not comparable, such as different dates, budgets or tracking.
  • Calling a test winner before there is enough data.

What a good result looks like

An example, not your task: You plan a sale and are not sure what kind of offer to run.

  • Step 1: Store offer picker. The offer types worth testing, ranked, with the margin floor and the sums behind the ranking.
  • Step 2: Reason-why deal writer. The deal in plain words, the buyer's doubts, a reason you can prove, and three versions.
  • Step 3: Discount impact checker. A cost breakdown, the ad return you need to hold profit, a score and a verdict.
  • Step 4: Honest urgency planner. Your real capacity, a cap, an end date and true lines for page, ad, email and calls.
  • 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

  • Step 1 ranks offer types with the maths shown. Step 2 gives a true reason. Step 3 gives the return the ads must hit, from your real costs. Step 4 gives a limit and a date you can keep. If one is missing, the run stopped at that step 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 Alex Hormozi and Gary Halbert would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

  • Pick the offer type. Names what each offer type trades away, checks your margin floor and order spread, and ranks the types worth testing with the sums.
  • Write the deal with a reason. Takes the top offer type and states the deal with real numbers. Lists the doubts a stranger has, picks a reason you can prove and writes three versions with the claim steps.
  • Check the deal against your costs. Takes the deal, models it on retail value and works out the ad return needed to hold profit. Checks the jump against your own past sales and scores it.
  • Set the cap and the deadline. Takes the checked deal. Finds your real capacity, sets the cap a little under demand and writes true lines for the page, ad, email and calls.

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 pick-a-sale-offer-check-profit-set-an-honest-deadline 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/pick-a-sale-offer-check-profit-set-an-honest-deadline/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 products, prices and costs per order
  • Your order sizes and repeat rate (optional)
  • Reviews that show what buyers worry about (optional)
  • Past sales at different discounts (optional)
  • How many orders you can handle well in the sale

Tools and access

  • Shopify: Its reports export order values, units per order and repeat rate.
  • Google Sheets: Good for a quick order-size histogram before you paste the numbers in.
  • Any good chat AI: Drafting several versions from your facts is text work any strong chat AI does well with this skill.
  • Your checkout or form tool: Tests whether your claim steps work exactly as written.
  • 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.
  • Any good chat AI: This is text and number work that any strong chat AI does well with the skill.

Functions and deliverables

  • Sale offer profit planner: Share product costs, margins and real sale reasons. Get offer options, discount-impact sums and deadline wording only where supported.
    • A ranked list of offer types to test, with the sums behind it
    • The deal in three versions, each with a reason you can prove
    • The ad return you need to hold your profit, a score out of 100 and a verdict
    • A cap, an end date and true lines for each channel
  • Store offer picker: Pick which store offer to test first. Give it your margin, order sizes and repeat rate. You get two or three offers with the maths for each.
    • The one margin trade your store most needs, with the reason
    • A shortlist of two or three offers, ranked by margin impact, each with its mechanic
    • The maths per offer: AOV, gross margin, break-even ROAS and target CAC
    • A test plan on separate pages, and what not to do for your store
  • Promotion explanation writer: Write a deal people believe. Give it your product and offer, and get a reason why the discount is real, in three versions.
    • The deal in one plain sentence
    • The doubts a stranger would have
    • The reasons considered, with the one you can prove kept for each version
    • Three versions of the deal copy with exact claim steps
  • 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
  • Offer limits and deadline planner: Share your offer, confirmed capacity and real dates. Plan clear limits, truthful deadline messages and a waiting-list approach for review.
    • One scarcity rule and one urgency rule that match how you work
    • The numbers and dates, with the sum behind each
    • The line for each channel, a sold-out message and a waiting-list message
    • An honesty check you can run before each launch
  • 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
  • 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
  • Gary Halbert: Rewrite a sales letter in plain personal language using Gary Halbert’s recorded habits. Make the offer concrete and the next action clear.
    • Your problem worked on the way Gary Halbert would: their questions, their method, their push-back
    • The answer or the work, in Gary Halbert'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 plan a sale and are not sure what kind of offer to run.
  • Your last discount sold well but you are not sure it made money.
  • You want a deadline that is true, so it still works next time.

Limits to check before starting

  • You have a brand-new product with no sales history: run a plain price test first, then come back.
  • You only want to check one discount against your costs: use the Discount margin and ad-cost checker.
  • You want to plan a free gift or bundle for the cart: use the Gift-with-purchase planner or the Cart bundle and gift planner.

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.

  • Open Claude, ChatGPT or Gemini. Paste in this workflow, or attach its skill files if your AI takes files.
  • Add your product, price and costs per order, with shipping and fees. Without costs, the profit step cannot score.
  • Say how many orders you can ship well. The cap will not go above what you can keep.
  • Add past sales, reviews or your brand brain if you have them (optional).
  • Read each step's result before the next one starts. Fix any MISSING line.
  • Check the hand-back summary. Nothing is sent or published without your yes.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/pick-a-sale-offer-check-profit-set-an-honest-deadline 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.