Hire an AI research asset capitalization model checker

Everything it can hand back

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

• A research asset schedule by year of spend, with amortization and adjusted operating profit
• Adjusted capital and reinvestment, beside the reported figures
• A growth schedule showing how much growth the reinvestment supports
• A stable-years check: the reinvestment that growth needs and the return spread
• A list of what is MISSING and which checks were missed

How it does the job well

• Agree the question and the decision it supports before analysing.
• Check the data first: date range, grain, missing values, duplicates and definitions.
• Compare like with like: same period length, definitions and segments.
• Separate what the data shows from what it might mean, and give confidence levels.

Mistakes it avoids

• Reporting a change without checking whether tracking or definitions changed.
• Treating correlation as cause.
• Averages that hide important segments or outliers.

What a good result looks like

An example, not your task: You model a company that spends heavily on R&D, such as software, drugs or chips.

• outputs/step-1-research-spend-cohort-adjustment.md. The research asset by year of spend, amortization and adjusted operating profit.
• outputs/step-2-reinvestment-supported-growth.md. Adjusted capital and reinvestment, and the growth that reinvestment supports.
• outputs/step-3-terminal-growth-reinvestment-consistency.md. Reinvestment needed for stable growth, free cash flow and a return spread test.
• Workbook. Linked sheets from reported accounts to the adjusted case. Made only if your AI has a spreadsheet tool.
• HAND-BACK SUMMARY. Files saved, sources used, assumptions, MISSING lines and checks missed.

How the work is checked

• Research costs appear once across profit, capital and reinvestment. Cash taxes stay as the source shows them. Reported and adjusted cases are labelled, and a change in life is tested.
• Each material input traces to its source, date, currency, scale, sign and period. Unresolved items stay as MISSING: lines.
• Opening balances, additions, deductions and closing balances reconcile. Cash flows are matched to the right discount rate where one is used.
• Real zeros, unavailable evidence and inapplicable ratios are told apart. No statement is forced to tie with an unexplained plug.
• 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 Warren Buffett would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Research spend cohort adjustment. Groups R&D into yearly cohorts and amortizes each over the chosen life. Keeps the statutory treatment and cash taxes unchanged. Hands step 2 the amortization and the research asset balance for each year.
• Reinvestment-supported growth schedule. Adjusts capital spending and operating investment for the expensed R&D, then links reinvestment to growth through the return on new capital. Reconciles cash taxes separately and never uses an unadjusted historical return on capital. Hands step 3 the adjusted return and reinvestment rate.
• Terminal growth reinvestment check. Takes a stable research life and a return on new capital and ties growth in the stable years to the reinvestment it needs. Rejects a cash flow that improves only because R&D replacement spend was left out. Check before you use it: growth is not higher than the return spread supports.

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 restate-research-capital-before-growth-modelling 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/restate-research-capital-before-growth-modelling/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

• R&D spend for each year, from the income statement or notes, going back as far as the life you pick
• The life over which R&D pays off, with the reason, such as filings or industry facts
• Reported operating profit and invested capital, from the annual report
• The tax rate and the cash taxes the company paid
• Your forecast: growth, capital spending, working capital and return on new capital
• For the stable years: growth rate, return on capital and cost of capital
• The currency, scale and reporting date

Helpful context (optional)

• Evidence for the research life, such as how long patents or products last.
• Several years of past R&D spend and capital figures.

Tools and access

• A chat AI with a spreadsheet tool: It can link the sheets, recalculate and reopen the workbook. In plain chat you get tables as text.
• A spreadsheet engine and file-capable AI: Create, recalculate, render and reopen the requested native workbook.
• Node.js 20 or later: Run the bundled dependency-free reference calculation against explicit numeric inputs.
• Claude, ChatGPT or Gemini: Any of them can do these sums in a chat and show each step.
• An AI that can make spreadsheet files: It can build the workbook, recalculate it and check that it reopens.
• Node.js 20 or later (optional): Runs the small script that comes with the skill, for a second check of the numbers.

Functions and deliverables

• Research asset capitalization model checker: Share research costs, useful-life evidence and model assumptions. Get a research-asset schedule and checks of how it links to spending and growth.
  • A research asset schedule by year of spend, with amortization and adjusted operating profit
  • Adjusted capital and reinvestment, beside the reported figures
  • A growth schedule showing how much growth the reinvestment supports
  • A stable-years check: the reinvestment that growth needs and the return spread
  • A list of what is MISSING and which checks were missed
• Research spending adjustment calculator: Share research costs and useful-life assumptions. Compare reported operating profit with an analyst view that spreads those costs.
  • A research asset and amortization schedule by year of spend, and adjusted EBIT beside reported EBIT
  • An editable workbook with inputs, formulas and test cases to rerun
  • A tie-out of the asset to the amortization, the inputs still missing and the checks that ran
• Reinvestment growth assumption checker: Share operating profit, reinvestment and return assumptions. Check the growth rate that new capital can support.
  • Net reinvestment: net capex plus working capital investment
  • The reinvestment rate: net reinvestment divided by NOPAT
  • Supported growth: reinvestment rate times return on new capital
  • A comparison with your forecast growth, if you gave one
  • A list of missing facts and checks that could not run
  • A small workbook with the same sums, if your AI can make files
• Terminal growth reinvestment checker: Share stable growth and return assumptions. Check required reinvestment, free cash flow and the resulting terminal value.
  • The reinvestment, free cash flow and terminal value for your growth rate, plus the same with return equal to WACC.
  • An editable workbook of the terminal reinvestment check, with its inputs, formulas and test cases to rerun.
  • A tie-out of reinvestment, cash flow and terminal value, the inputs still missing and the checks that ran.
• Metric definition writer: Share a metric, calculation and business use. Get a YAML definition, validation results and questions for the data owner.
  • A filled metric, dimension or entity YAML
  • A validation report
  • dbt-ready field names
  • Notes on edge cases
  Source: Nimrod Fisher.
• 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
• Warren Buffett: Review a business using Warren Buffett’s recorded principles. Check how it earns, what protects it, how managers use cash and which facts remain uncertain.
  • Your problem worked on the way Warren Buffett would: their questions, their method, their push-back
  • The answer or the work, in Warren Buffett'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 model a company that spends heavily on R&D, such as software, drugs or chips.
• Your forecast has high growth but low reinvestment, and a reviewer asks how it is paid for.
• Return on capital looks too good because R&D was never counted as capital.
• You compare two companies that account for R&D costs in different ways.

Limits to check before starting

• You have no R&D spend by year, or the company is private: get the yearly spend first, since the schedule starts from it.
• You only want to test growth in the stable years: use the Growth and reinvestment spreadsheet modeller workflow.
• You already have a terminal value and want to challenge it: use the Long-term value assumption checker workflow.
• You want a full valuation or a buy or sell view: use the Valuation method comparer. This workflow gives no investment advice.

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 workflow pack and add it to Claude, ChatGPT or Gemini, in a chat that accepts files.
• Attach the annual reports or paste the R&D notes, plus your forecast sheet. Give the currency, scale and the life you want to test.
• Ask your AI to follow the pack, save a file for each step and stop a step when an input is missing.
• After step 1, check that R&D is counted once across profit, capital and reinvestment.
• After step 3, ask for the result at a shorter and a longer life, and see how far the answer moves. A spreadsheet tool is needed for the workbook. Without one, your AI gives the tables in chat.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/restate-research-capital-before-growth-modelling 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.