What it does

The AI Cost Optimizer is a specialized FinOps tool designed specifically for developers and agencies scaling AI applications. It performs deep analysis of token consumption, model selection strategies, and infrastructure overhead to identify systematic waste. By auditing usage data from providers like OpenAI, Anthropic, and Azure, it generates a structured optimization report with specific ROI calculations and a prioritized implementation roadmap.

Why use this skill

Relying on generic prompts or default model settings often leads to 40-60% budget waste. This skill is better than manual prompting because it applies a systematic engineering framework to your specific usage patterns. It identifies complex opportunities like semantic caching, batch processing utilization (50% discounts), and optimal model-task mapping that are easily missed during standard development.

Key Features

• Token Engineering: Audits system prompts and output lengths to trim inflation.
• Model Routing: Maps tasks to the most cost-effective models (e.g., migrating classification from GPT-4o to 4o-mini).
• Multi-Level Caching: Strategy designs for Redis, semantic, and session-based caching.
• Batch Analysis: Identifies time-insensitive tasks eligible for 50% API discounts.
• ROI Planning: Provides a 12-month savings forecast and payback period analysis.