Model Usagev0.1.0

A software development team uses multiple AI models like Codex and Claude for code generation and documentation. They need to track per-model costs to optimize usage and allocate budgets across projects, using this skill to generate daily or historical summaries from CodexBar logs.

A freelance AI consultant uses Codex and Claude for client projects and needs to itemize costs by model for accurate billing. This skill helps them extract per-model usage data from CodexBar to create detailed invoices and justify expenses.

A research lab experiments with different AI models for academic studies and must monitor costs per model to manage grant funding. They use this skill to analyze CodexBar data, identifying high-cost models and adjusting experiments for efficiency.

A tech startup leverages AI models for product development and customer support, needing to track usage to control operational costs. This skill provides per-model breakdowns from CodexBar, enabling them to switch models based on cost-effectiveness and performance.

Companies offer AI-powered tools with tiered subscriptions based on model usage, using this skill to monitor costs per model and set pricing plans. It helps ensure profitability by aligning subscription fees with underlying AI provider expenses.

Service providers bundle AI model usage into managed packages for clients, using this skill to track per-model costs and optimize service delivery. Revenue is generated through fixed-fee contracts with margins based on efficient model selection.

Consultants specialize in helping businesses optimize AI usage, using this skill to audit CodexBar logs and recommend cost-saving strategies. Revenue comes from hourly consulting fees or audit packages based on insights from per-model analysis.