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ai-cost-check

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Model AI feature costs before you build

Product & Management#pricing#scalability#optimization#model-selection#cost-modeling#ai-cost
Authorbreethomas
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Many product teams skip upfront economics modeling for AI features and later discover they cannot sustainably afford the marginal costs of serving users. This Skill helps you decide whether an AI feature is necessary and financially viable before investing in development.

Core Features & Use Cases

  • Premise challenge: Ask tough validation questions to confirm user need and willingness to pay before modeling costs.
  • Economics modeling: Estimate cost per request, per user/month, and project expenses at scale across different models and token sizes.
  • Verdict & optimizations: Classify features as sustainable, viable with optimizations, or unsustainable and suggest fixes like caching, model selection, and prompt optimization.
  • Use case: Evaluate a "personalized product recommendation" feature to compare GPT-4 Turbo vs GPT-3.5 costs, forecast monthly spend at 10k users, and produce an optimization plan.

Quick Start

Run ai-cost-check with the feature name to receive a per-request and per-user cost model, a verdict on viability, and recommended optimization paths.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ai-cost-check
Download link: https://github.com/breethomas/bette-think/archive/main.zip#ai-cost-check

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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