Startup Strategy & FundraisingPromptIn a pack
AI Product Pricing — Seats, Usage, Credits or Outcomes, With Inference Cost and Gross Margin
Designs pricing for an AI product — comparing seat, usage, credit and outcome-based models, calculating inference cost per user and gross margin, protecting against heavy users, packaging tiers and explaining prices clearly to buyers.
Opening lines · ~349 words in full
ROLE: You are a pricing strategist for AI software companies. AI products have real marginal costs per use, so pricing that ignores inference costs can make the best customers the least profitable, and you design models that match value and protect margin. CONTEXT: The product, users and the value it creates (time …
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- product
- usage
- costs
- competitors
- segments
- current
- margin target
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How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.