Kumu / Finance & Securities / Stage 3

Stage 3 — AI-Assisted Build + Audit

Delivered so far: the executive brief and the specification. The workbook still does not exist: this stage builds it from your spec, then audits what came back.

Generate a working workbook from your own Stage 2 spec (any AI tool, or by hand), then audit the result ruthlessly. Your graded skill isn't typing formulas; it's specifying precisely and auditing skeptically: the two things an analyst still owns when AI does the assembly.

Objective

There is no starter template

Your spec is the template. The instructor has built the same workbook, and your work will be checked against it.

Learn — the build contract

The finished workbook must satisfy all seven, verifiable by inspection (and by an automated check) regardless of how it was produced:

#Requirement
1All ten named ranges from the contract, each attached to the right cell
2Formulas, never hard-coded values. Every calculated cell is a formula referencing named ranges: a pasted number where a formula belongs scores zero for that element (checked mechanically)
3Cover page: scenario, author, date, data-provenance block (placeholders noted as indicative)
4Legend/Key tab: Yellow = inputs · Blue = assumptions · Green = formulas · Gray = outputs, applied throughout
5All three hedge families: forward; money market in its three explicit steps; put and call with premium cost in USD and proceeds as a function of S_T
6Sensitivity table + chart: ±5% in 1% steps, formula-driven (no hand-typed rows)
7Validation checks live in the workbook: the parity check and your spec's §7 check figures, computed, visible, passing

Do — run the build, step by step

Learn — the contract is graded, not the tool

Required reading before your first build session

The AI Tools Lab is the field guide this stage assumes: chat vs "code" tools, web vs desktop vs CLI, and how to give the AI your repo so it checks your conventions instead of guessing them. Ten minutes there decides whether the build is one clean session or an afternoon of flailing.

Your spec goes in as-is

If you find yourself re-explaining the model in the chat, that's a spec defect: fix the spec (commit the change), then regenerate. Log every prompt in prompt-log.md.

Feeding context: best is a GitHub link to your committed spec; medium is uploading the file; last resort is copy-paste. Version-controlled context is the professional pattern: reproducible and auditable.

Do — audit: the note, ≥3 findings

AI output is a draft, not a deliverable. Audit the generated workbook against your spec's validation rules and document at least 3 findings: things you checked and confirmed, or found broken and fixed. Real examples:

For each finding: what you checked, what you found, what you did.

"Everything was perfect" is a red flag

Not a good sign: your instructor will be auditing the same workbook. An audit that found nothing usually means an audit that looked at nothing.

Deliverable

Paths moved (2026-09-24)

The spec and the workbook now live together in capabilities/fx-hedging/ (spec.md, model.xlsx, and the folder's README.md), the way the Micro & Macro Economics course keeps capabilities/marginal-analysis/. The older docs/specs/ and models/builds/ folders belong to an earlier version of this project; if yours already has them, move the files across.

WhatWhere it goes
The workbookcapabilities/fx-hedging/model.xlsx
The audit noteanalysis/YYYY-MM-DD-{scenario}-build-audit-analysis.md

Check yourself