Hire an AI offer bonus and guarantee planner

Everything it can hand back

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

• A real cap and a real date, with the lines for your page, ads, email and calls
• Five to eight bonuses, each named, valued and matched to a doubt
• A guarantee in an if-then form, with refund sums and three names
• Ten offer names to choose from, three to test and a plan for renaming it

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 offer is sound but buyers wait, doubt it or ignore it.

• Step 1: Limits and deadlines. Your capacity, a limit rule, a date rule, lines for each channel and an honesty check.
• Step 2: Bonuses. Each buyer doubt matched to a named bonus with proof and value, plus the order to reveal them.
• Step 3: Guarantee. The guarantee in if-then form, the refund sums, three names and a note on rules.
• Step 4: Names. Ten offer names with parts marked, three to test and the order to rename the offer.
• Hand-back summary. Each step's file, any step not run and every MISSING line in one list.

How the work is checked

• Every cap and date is one you can keep, and no timer or count is fake.
• Every bonus answers one named doubt and has a value with a basis.
• The guarantee has an if, a time and an or what, and the sums include delivery cost on refunds.
• Names use three to five parts and can be said in one breath.
• 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

• Add honest limits and deadlines. Sets a cap from your real capacity and a date you will keep, keeps supply a little under demand and writes the lines for each channel.
• Build the bonus stack. Matches one bonus to each doubt, names it with a benefit, gives proof and a value, and sets the order to reveal them.
• Design the guarantee. Picks a guarantee type that fits your costs, writes it with an if and an or what, and runs the refund sums.
• Name the offer. Builds names from five parts, picks three to test and gives the order to change things when the offer tires.

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 make-your-offer-harder-to-refuse 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/make-your-offer-harder-to-refuse/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 offer, price and how it is delivered
• How many buyers you can serve well at once
• Your cost to deliver per buyer
• The doubts you hear from buyers (optional)
• Sales and refund 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.

Functions and deliverables

• Offer bonus and guarantee planner: Share the offer, costs and buyer doubts. Get supported bonus ideas, draft guarantee terms, honest urgency checks and names to test.
  • A real cap and a real date, with the lines for your page, ads, email and calls
  • Five to eight bonuses, each named, valued and matched to a doubt
  • A guarantee in an if-then form, with refund sums and three names
  • Ten offer names to choose from, three to test and a plan for renaming it
• 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
• Offer bonus package builder: Share your offer and buyer doubts. Get useful bonus ideas, benefit-led names, proof gaps, value estimates with a basis and reveal order.
  • 5 to 8 bonuses, each matched to one buyer doubt
  • A name with a benefit, a five-line pitch and a value with its reason for each
  • Which bonuses carry a limit or a deadline, using only real ones
  • Partner bonus ideas, and the order to reveal bonuses
  • MISSING lines where proof or a value basis was not given
• Guarantee and refund plan writer: Share your offer, costs and refund history. Get a guarantee draft, refund scenarios and the checks needed before you use it.
  • The buyer's top fears, ranked
  • The guarantee type that fits, with the reason
  • The guarantee written in an if-then form, with options for the remedy
  • Refund-and-cost scenarios with supported profit-preserving lift, or an unresolved result
  • Three names for it, and a note on rules and limits
• Offer name writer: Name your offer in minutes. Give it your offer and buyer, and get ten offer name ideas, three to test and a plan to refresh a tired name.
  • Ten names with the parts marked
  • Three to test, with the reason
  • Names for the main bonuses
  • A test plan and a refresh order
• 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

• Your offer is sound but buyers wait, doubt it or ignore it.
• You are tempted to cut the price to close.
• You want urgency and a guarantee without fake timers or a refund disaster.

Limits to check before starting

• Your offer does not sell at all. The fix is the offer itself, so start with the Niche offer pricing planner.
• You only want bonuses. Use the Offer bonus package builder.
• You want a plan for what to sell buyers after they pay. Use the After-sale offer 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.

• 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 how many buyers you can serve well. It will not write a limit you cannot keep.
• List the objections you hear in sales calls. Each becomes a bonus.
• Check the refund sums before you publish the guarantee.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/make-your-offer-harder-to-refuse 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.