Task-Level Token Usage Analyzer for AI Tools

Many developers using AI tools like Claude Code face a significant challenge in managing their token usage without clear visibility into what specific tasks are consuming resources. Existing tools provide general usage metrics but fail to break down costs at the task level, leaving users in the dark about how to optimize their workflow. This creates frustration and inefficiency, particularly for solo developers and small teams who are trying to keep costs manageable while maximizing productivity. The target market includes independent developers, small software teams, and AI enthusiasts who rely on AI models for coding assistance but need to monitor and control their expenses closely. Given the rapid adoption of AI tools and the increasing costs associated with their usage, there is a pressing need for a solution that enables users to analyze their token consumption in a granular way. This software could be developed as a simple web application or a command-line tool, providing users with insights into which tasks are most resource-intensive and allowing them to make informed decisions about their usage. The business model could involve a subscription service or a one-time purchase for the software, offering tiered pricing based on features such as team collaboration or advanced analytics. By focusing specifically on task-level insights, this tool would fill a crucial gap in the market, helping developers save money and improve their coding efficiency.