Building a usage-based AI agent product without modeling your unit economics first is how you ship a product that loses money at scale. This bundle gives you five structured spreadsheet calculators purpose-built for developers pricing LLM-powered agent products – covering token cost margins, tier design, model selection tradeoffs, reliability-adjusted costs, and full unit economics projections. Before you lock in a pricing model, you'll know exactly where your margins break, which model combinations are defensible, and whether your CAC and LTV math actually works at different consumption levels. Every template includes worked example rows using a realistic fictional agent product scenario, a companion PDF guide with section-by-section instructions, and explicit connection notes showing how each calculator feeds the next.
What's included
- A Token Cost Margin Calculator that computes gross margin per agent run across any LLM provider and model combination, so you can see exactly what you're keeping after inference costs
- A Pricing Tier Modeler that maps your cost structure to Free, Pro, and Enterprise tiers with breakeven and margin target outputs – so your tier boundaries are grounded in numbers, not guesswork
- A Model Switching Cost Analyzer that compares cost-quality tradeoffs across providers to inform model selection and fallback logic, including how swapping models affects your per-run economics
- An Agent Reliability Metrics Tracker that quantifies retry rates, success rates, and token overages to calculate a reliability-adjusted cost per task – the number most pricing models ignore until it's too late
- A Unit Economics Projection Sheet that models CAC, LTV, payback period, and contribution margin for consumption-priced agent products across different usage and growth scenarios
