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AI product pricing notes.

Practical guides for teams pricing and operating AI products with variable cost.

A transparent board with metal pricing tokens and financial charts on a desk.

AI pricing models that survive real usage

AI pricing· AI unit economics· hybrid pricing

How to choose subscription, usage-based, hybrid, and outcome-based AI pricing models without losing control of gross margin as customer behavior changes.

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A brass balance scale holding a compute chip and clear revenue blocks.

How to calculate AI product gross margin

13 min

AI unit economics· gross margin· AI COGS

A clear method for calculating AI gross margin, finding the real cost to serve, and using margin data to make better product and pricing decisions.

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A layered transparent AI system with a live monitoring trace on an operations desk.

AI cost monitoring: what to track beyond token spend

12 min

AI operations· cost monitoring· retries

A practical AI cost monitoring framework for product, finance, and engineering teams managing model, retrieval, retry, and concurrency cost.

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A precision measuring instrument beside layered transparent cost and revenue data.

AI unit economics: a practical model for product leaders

10 min

AI unit economics· AI COGS· cost per workflow

How to build an AI unit economics model that connects a customer-facing value unit to direct cost, revenue, gross margin, and the operational choices behind them.

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Glass usage meters beside a clean invoice on a dark operations desk.

Usage-based pricing for AI products without confusing customers

9 min

AI pricing· usage-based pricing· overage

A practical framework for usage-based AI pricing that keeps invoices understandable, aligns a pricing metric with customer value, and protects margin at high usage.

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A multi-step transparent workflow leading to a financial balance on a desk.

How to price AI agents when the work is variable

10 min

Agent pricing· agent pricing· retries

A practical guide to AI agent pricing for products where tool calls, retries, model routing, and task complexity make the cost of each outcome uneven.

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Transparent shelves of indexed documents feeding into a compact compute core.

RAG cost optimization: reduce retrieval spend without reducing answer quality

9 min

RAG economics· RAG economics· retrieval

How to approach RAG cost optimization by measuring retrieval quality, context growth, model usage, and gross-margin impact instead of simply cutting documents or tokens.

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A pricing experiment desk with calibrated cards, glassware, and an upward measurement line.

AI pricing experiments that produce useful evidence

9 min

AI pricing· pricing experiments· gross margin

How to run AI pricing experiments that test customer value, usage behavior, willingness to pay, and gross-margin resilience without creating a confused offer or unreliable conclusion.

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