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Multi-agentFinance & Investment AnalysisAdvancedFree

Startup Financial Modeling System.

3 agents, 3 deliverables.

Run a multi-agent workflow to produce an execution-ready startup financial modeling system deliverable.

WORKFLOW META
Agents3
Total tokens (avg)~500
Run time9 min
AI toolChatGPT · Claude · Gemini
Variables4
DifficultyAdvanced
CategoryFinance & Investment Analysis
SEQUENCE MAP · CLICK TO JUMP
· 01 ·
Revenue Model Builder
· 02 ·
Cost Structure Modeler
· 03 ·
Unit Economics Calculator
USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

{{business_model}}
Business model
Business model
Startup Financial Modeling System example context
{{target_monthly_revenue}}
Target monthly revenue
Target monthly revenue
Startup Financial Modeling System example context
{{key_revenue_drivers}}
Key revenue drivers
Key revenue drivers
Startup Financial Modeling System example context
{{planned_team_and_major_costs}}
Planned team and major costs
Planned team and major costs
2 marketers, 1 designer, 1 developer
THE AGENTS

The 3-step sequence.

01
AGENT · REVENUE MODEL

Revenue Model Builder

GOAL OF THIS STEP

Build the revenue model. Define: the primary revenue equation (e.g., Customers × ARPU, or GMV × Take Rate), all assumptions that drive the equation (monthly customer growth rate, churn rate, price point, conversion rate), and the Month 1–12 revenue ramp under 3 scenarios (conservative / base / optimistic). Show the key assumption most sensitive to the revenue outcome — the one that moves the number most.

EXPECTED OUTPUT

Revenue equation + all assumptions + 12-month ramp (3 scenarios) + #1 sensitive assumption

agent-01-revenue-model-builder.md
### Input
Business model, target revenue, revenue drivers

### Task
Build the revenue model. Define: the primary revenue equation (e.g., Customers × ARPU, or GMV × Take Rate), all assumptions that drive the equation (monthly customer growth rate, churn rate, price point, conversion rate), and the Month 1–12 revenue ramp under 3 scenarios (conservative / base / optimistic). Show the key assumption most sensitive to the revenue outcome — the one that moves the number most.

### Output
Revenue equation + all assumptions + 12-month ramp (3 scenarios) + #1 sensitive assumption
02
AGENT · COST STRUCTURE

Cost Structure Modeler

03
AGENT · UNIT ECONOMICS

Unit Economics Calculator

HOW TO RUN

Three steps. 9 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window — every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 3 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Revenue Model Builder

Revenue equation + all assumptions + 12-month ramp (3 scenarios) + #1 sensitive assumption

Cost Structure Modeler

12-month P&L;: revenue + gross margin + OpEx by category + EBITDA + cash-flow positive month

Unit Economics Calculator

Unit economics: CAC + LTV + LTV:CAC + payback period + gross margin + contribution margin + benchmark flags

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