Show HN: I built a tool to estimate AI agent costs before you ship (airunrate.com)

A new tool has been launched that allows developers to estimate costs associated with deploying AI agents before they go live. By leveraging real-time pricing data from models like OpenAI’s GPT-4 and Anthropic’s Claude 3, this tool provides cost projections that are typically within 10-15% of actual spending. It features both average cost estimates for typical usage and a p95 cost projection, which accounts for the 95th percentile of expenses, including production variances like retry loops and response delays, enabling more accurate budget planning. This development is significant for the AI/ML community as managing costs is a critical concern, especially for startups and companies scaling their AI applications. The tool also allows users to save and share their workflows, making it easier to collaborate on project planning. Additionally, it offers several strategies for cost reduction, such as using smaller models for simpler tasks and optimizing queries, which can further aid developers in efficiently managing their resources as they integrate AI into their products.