Hire an AI buyer problem and offer planner

Everything it can hand back

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

• A table of problems by stage, each turned into a promise, with the evidence for it
• Delivery options for each promise, rated for your cost and the buyer's value
• A trimmed offer of named bundles, each with a value, and a total
• A score on the four value drivers, the weakest one and the cheapest fix
• A price set from what the result is worth, with a gap check and two price tests

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: Your product sells like everyone else's and buyers compare you on price.

• Step 1: Problems and promises. A table of problems by stage, each with its driver, a promise and the evidence.
• Step 2: Delivery options. Many ways to deliver each promise, rated for your cost and the buyer's value.
• Step 3: The stack. What was cut and kept, named bundles with a value each, and the total.
• Step 4: Value score. Four scores with evidence, the weakest part and the cheapest fixes.
• Step 5: The price. What the result is worth, a price band and pick, a gap check and two price tests.
• 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

• Every promise in step 1 traces to a buyer problem, and quotes are separated from guesses.
• After trimming, every problem still has an answer.
• Every stated value has a basis, and none is padded.
• The price is shown as a share of what the result is worth, not copied from rivals.
• 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 Jeffrey Gitomer would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• List every problem and its solution. Follows the buyer from today to the result, finds the reasons they might stall or quit at each stage, and turns each into a promise.
• Find ways to deliver each solution. Writes many ways to deliver each promise, from one-to-one to one-to-many, and rates each for cost and value.
• Trim and stack the offer. Cuts what costs a lot for little value, keeps an answer for every problem, and groups the rest into named bundles with a value.
• Score the offer on the four value drivers. Scores the outcome, the likelihood, the delay and the effort as the buyer sees them, and names the cheapest fix.
• Set the price from the value. Estimates what the result is worth to the buyer and sets a price as a small slice of it, with two tests.

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 offer-from-buyer-problems 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/offer-from-buyer-problems/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

• Who your buyer is and what they want, or a buyer profile
• Your product facts (optional)
• Reviews or call notes in the buyer's words (optional)
• Your brand file (optional)
• Sales numbers (optional)

Tools and access

• Any good chat AI: This is text and number work that any strong chat AI does well with the skill.
• 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.

Functions and deliverables

• Buyer problem and offer planner: Share buyer evidence, product facts and costs. Get problem-led delivery options, a proposed package, value review and price scenarios.
  • A table of problems by stage, each turned into a promise, with the evidence for it
  • Delivery options for each promise, rated for your cost and the buyer's value
  • A trimmed offer of named bundles, each with a value, and a total
  • A score on the four value drivers, the weakest one and the cheapest fix
  • A price set from what the result is worth, with a gap check and two price tests
• Buyer problem list builder: Share your buyer, product and feedback. Get journey problems and candidate offer outcomes, with facts, guesses and proof needs kept apart.
  • The result written as a place the buyer arrives
  • Stages from today to that place, in order
  • Possible problems grouped by outcome, likelihood, effort and time, with the actual count shown
  • Candidate How-to outcomes, with separate problem evidence and capability/claim status
• Offer delivery options planner: Share the promises in your offer. Compare one-to-one, group and reusable ways to deliver them, with estimated cost and buyer value.
  • Five to ten delivery options for each promise, in three groups by audience size
  • Stretch options you may never use, labelled as stretch
  • A rating for each option: build hours, hours per buyer, cash cost and what it does for the buyer
  • The best two or three options per promise marked as candidates
  • One shortlist table of every candidate
• Offer package planner: Cut a long list of delivery options down to named bundles, each with a value and a total, so you can price your offer with confidence.
  • Every option marked cut or keep, with the reason
  • A check that each problem still has an answer
  • Named bundles, each with a stated value and the pieces underneath
  • Total value, price, cost per buyer and the ratio
• Offer value reviewer: Score your offer as a buyer sees it. Get 1 to 10 scores for outcome, likelihood, delay and effort, plus the weakest part and the cheapest fixes.
  • A 1 to 10 score on each of the four parts, with the reason and the evidence
  • A relative index for the offer today
  • The weakest part and the three cheapest fixes, with cost
  • The index after the best fix, and where to say it so the buyer sees it
• 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
• 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
• Jeffrey Gitomer: Improve a sales pitch through Jeffrey Gitomer’s recorded approach. Show what the buyer gains, replace vague claims with proof and plan useful follow-up.
  • Your problem worked on the way Jeffrey Gitomer would: their questions, their method, their push-back
  • The answer or the work, in Jeffrey Gitomer'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

• Your product sells like everyone else's and buyers compare you on price.
• You have many ideas for what to include and cannot tell which to keep.
• You are about to set or raise a price and want it tied to the value.

Limits to check before starting

• You have no buyer data yet: run the Brand profile builder first, then come back.
• You only want a bonus package on an offer you already have: use the Offer bonus package builder.
• You only need to price a one-off discount: use the pricing planner step alone, or ask a person who knows your margins.

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".
• Share your buyer and product. It lists the problems. Fix any that are wrong before it moves on.
• Tell it the hours and cash you can give. It trims the offer to fit.
• Check the worth figure in the price step. It uses your buyer's numbers, so correct any you doubt.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/offer-from-buyer-problems 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.