Hire an AI business growth target and risk planner

Everything it can hand back

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

• Three to six big choices settled by the goal, each with its reason
• The target turned into earnings and a four-part sum, each figure marked checked, estimated or guess
• The figure the plan leans on most, from a half test on each part
• A design for the repeat-buying habit, with true rewards, true ties and a reach map
• A check of your partners' pay, and a list of what to avoid

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 shaping a business from scratch and want its plan tested against a big target.

• Step 1: Big decisions first sorter. The choices the goal already settles, each with a reason, plus the open questions in order.
• Step 2: Target size back-solver. The target as yearly earnings, split into buyers, purchases, share and profit, each marked checked, estimated or guess.
• Step 3: Buying habit stack designer. The action and cue, the rewards, five true ties, a reach map and the chain that makes buying repeat.
• Step 4: Incentive checker. Each partner, how they are paid, what that encourages and where it pulls the wrong way.
• Step 5: Failure-first plan check. What would guarantee failure, the standard failures checked and a list of what to avoid.
• Hand-back summary. Each step's file and every missing item in one list.

How the work is checked

• Each settled choice follows from the goal and rules something out.
• The sum has four parts: buyers, purchases, share and profit per sale. Every figure is marked CHECKED, ESTIMATED or GUESS, and the marks match the sources you gave.
• The half test names the one part the plan leans on most.
• Every reward in the habit design is real. Nothing depends on a false claim, such as fake reviews.
• 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 Charlie Munger and Al Ries would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Settles the big choices first. Tests each open question against the goal, settles those it forces with a one-line reason and notes what each choice rules out.
• Works backward from the target. Turns the target into yearly earnings, splits it into buyers, purchases, share and profit per sale, and halves each part to find the weak one.
• Designs the repeat habit. Names the action and its cue, checks the rewards are real, lists true ties, maps where rivals could form a habit and links the forces into a chain.
• Checks how partners are paid. Lists who you depend on, what their pay encourages and where it differs from what the business needs.
• Thinks in reverse. Asks what would guarantee failure, checks the plan against the standard ways of failing and writes what to avoid.

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 new-business-growth-needs 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/new-business-growth-needs/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

• The business, what it sells and to whom
• The exact group of buyers
• The size you want it to reach and by what year
• Your open questions and the limits you cannot change (optional)
• Market size, purchase counts and prices you can source (optional)
• Your partners and how each is paid (optional)

Tools and access

• Claude, ChatGPT or Gemini: Sorting questions against a stated goal is text work any strong chat AI does well.
• A whiteboard or index cards: Writing each open question on a card lets you move settled ones aside.
• A spreadsheet: Lets you change one figure and watch the half test and the earnings update.
• Any good chat AI: It lays out the sum and the marks, but check the arithmetic on a calculator.
• Any good chat AI: Linking forces and checking claims is text work any strong chat AI does well.
• A map or list of selling places: Helps you fill in the reach map with real places.
• Any good chat AI: It reasons about people, rewards and plans in text, which any strong chat AI handles with this skill.
• A spreadsheet: Easier to try a new pay rule on past numbers and see what it would have paid.
• Any good chat AI: Listing and testing failure modes is text reasoning that any strong chat AI handles with this skill.
• A spreadsheet: Handy for putting numbers on dependencies, cash and runway.

Functions and deliverables

• Business growth target and risk planner: Share a business idea, target size and assumptions. Get buyer and volume maths, key choices, incentive checks and failure risks.
  • Three to six big choices settled by the goal, each with its reason
  • The target turned into earnings and a four-part sum, each figure marked checked, estimated or guess
  • The figure the plan leans on most, from a half test on each part
  • A design for the repeat-buying habit, with true rewards, true ties and a reach map
  • A check of your partners' pay, and a list of what to avoid
• Decision priority planner: Sort a messy plan's open questions against your goal. Get the big choices it already settles, with reasons, and the few hard questions left.
  • The goal in one sharp line
  • Three to six settled choices, each with its reason and what it rules out
  • A shorter, ordered list of the hard questions
  • The first question to work on, and what you need to find out
• Business target calculator: Back-solve a business size target into the buyers, purchases, market share and profit per sale that must be true, with each figure marked.
  • The target turned into yearly earnings
  • A four-part sum with each figure marked checked, estimated or guess
  • A test for rising prices and one for richer buyers
  • A half test for each part and the figure the plan leans on
• Repeat purchase habit planner: Describe your product and repeat buying goal. Get a plan for real rewards, brand ties, reach and visible use, with an honesty check.
  • The one action to repeat and the cue that sets it off
  • A rewards table with each reward marked strong, weak or none
  • Up to five true ties the brand can earn, and how each is made
  • A reach map, a visibility plan and a chain showing how the forces feed each other
• Incentive checker: Check your pay plan or deal with this incentive checker. See who is rewarded for what, where it pulls the wrong way, and get a fix.
  • A table of people, rewards and the behaviour each really encourages
  • Each mismatch with a concrete example
  • A fix that pays for the outcome you want, with a loophole check
  • A note on pay fairness and on which work is routine and which is thinking
• Plan failure reviewer: Find the ways your plan could fail before you commit. Paste your plan and goal, and get ranked failure risks with a fix for each.
  • The goal in one line
  • A list of failure modes specific to your plan, survival risks first
  • A change to the plan for each failure
  • The bet stated, and a set of attacks for the people you pick to argue against it
• 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.
• Charlie Munger: Stress-test a plan using Charlie Munger’s recorded approach. Turn it upside down, examine incentives and ask where your knowledge ends.
  • Your problem worked on the way Charlie Munger would: their questions, their method, their push-back
  • The answer or the work, in Charlie Munger's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step
• Al Ries: Clarify what a brand should stand for using Al Ries’s recorded approach. Examine its category, focus, name and launch story.
  • Your problem worked on the way Al Ries would: their questions, their method, their push-back
  • The answer or the work, in Al Ries'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 shaping a business from scratch and want its plan tested against a big target.
• A pitch says a huge market means a huge result, and you want to test it.
• You want to find the one assumption your plan leans on most.

Limits to check before starting

• You want to value a company that already trades or has sales: use a valuation tool or ask an accountant.
• You have no buyer group in mind yet: use the Customer needs finder first, then come back.
• You want to test how strong your edge is: use the Competitive advantage tester.

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". The five skill files are in the pack.
• Give your business, the target size and the year. Paste every open question you have, even small ones.
• It works step by step and saves each result. Go and find real facts for the figure the plan leans on.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/new-business-growth-needs 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.