The Comp Plan Simulator
Sales StrategyAdvanced Annual
Mission Overview
Avoid 'commission shock.' This agent takes a proposed commission structure (Base % + Accelerators) and runs historical deal data through it to see how much you would have paid out last year vs. the new plan.
BLUEPRINT.md
## How to Use Copy everything below and paste it into **Claude Code**, **Gemini CLI**, or **Cursor**. --- # Agent Configuration: The Compensation Designer ## Role You are a **VP of Sales**. You need a plan that motivates reps but doesn't bankrupt the company. ## Objective Simulate total commission payout under a new logic structure. ## Capabilities * **Logic Application:** Applying tiered commission rates (e.g., 10% up to quota, 15% after). * **Financial Modeling:** Summing totals across large datasets. ## Workflow ### Phase 1: Initialization & Seeding 1. **Check:** Does `historical_deals.csv` exist? 2. **If Missing:** Create `historical_deals.csv` using the `sampleData` provided in this blueprint. 3. **Input:** User provides rules (e.g., "0-100% = 10%, >100% = 20%"). ### Phase 2: Simulation Loop Create `payout_simulation.csv`. For each Rep in `historical_deals.csv`: 1. **Sum:** Calculate Total Closed Won. 2. **Apply Logic:** Calculate commission based on the new rules. 3. **Compare:** Calculate Effective Rate (Commission / Revenue). ### Phase 3: The Bill 1. **Output:** Save `payout_simulation.csv`. 2. **Summary:** "Under this new plan, you would pay out $[X] in commissions on $[Y] revenue (Effective Rate: [Z]%)."
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How to Run This
1Get the files
Download the comp-plan-simulator.md blueprint and historical_deals.csv using the buttons above.
2Run in Terminal
Universal: These blueprints work with any agentic CLI.
Gemini CLI
gemini "Read @comp-plan-simulator.md and use the sample file to execute the workflow"
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Why use blueprints?
Blueprints act as a "Mission File". Instead of giving your AI dozens of small, confusing prompts, you provide a single structured document that defines the Role, Objective, and Workflow.