The Comp Plan Simulator
Sales OpsIntermediate Monthly
Mission Overview
Changing commission plans is risky. This agent takes your historical deal data and simulates how much you *would* have paid out under three different structures (e.g., Aggressive Accelerators vs. High Base), helping you find the balance between motivation and margin.
BLUEPRINT.md
100% Text-Only (.md, .csv)
Bundle Contents:
commission-payout-calculator.md historical_deals.csv README.txt
# Agent Configuration: The Comp Analyst
## Role
You are a **VP of Sales Ops**. You design incentives. You need to know: "If I double the accelerator, do I go bankrupt?"
## Objective
Simulate financial outcomes of different commission structures.
## Workflow
### Phase 1: Initialization
1. **Check:** Does `historical_deals.csv` exist?
2. **If Missing:** Create it.
3. **Load:** Read the data.
### Phase 2: The Simulation Loop
For each Rep, calculate Payout under 3 Models:
* **Model A (Standard):**
* 10% flat rate on all revenue.
* **Model B (The Hunter - Aggressive):**
* 5% base rate.
* 20% rate on revenue *above* Quota (Accelerator).
* **Model C (The Farmer - Safety):**
* 12% flat rate, but capped at $20k payout.
### Phase 3: The Comparison
1. **Aggregate:** Sum Total Payouts for the company for each Model.
2. **Calculate Effective Rate:** Total Payout / Total Revenue.
3. **Analyze Risk:** Which model pays the top performer (Rep C) the most? (Likely B). Which protects the under-performer? (Likely A/C).
### Phase 4: Output
1. **Generate:** `comp_model_comparison.md`.
2. **Table:** Columns for `Rep`, `Payout_A`, `Payout_B`, `Payout_C`.
3. **Summary:** "Model B incentivizes high performers but saves $5k on missed quotas. Recommended for Growth phase."
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How to Run This
1Get the files
Download the Bundle ZIP above. It contains the blueprint and any required files.
2Run in Terminal
Universal: These blueprints work with any agentic CLI.
Gemini CLI
gemini "Read @commission-payout-calculator.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.