Context Switch Token Optimizerv1.0.1

A customer service agent handles multiple user queries in one session, switching between billing, technical issues, and account management. The optimizer detects topic shifts, compresses irrelevant history, and saves tokens while preserving context for the current topic.

A researcher uses an AI assistant to brainstorm, outline, and write sections of a paper, frequently switching between literature review, methodology, and results. The tool maintains separate context for each section and compresses past discussions to stay within token limits.

A project manager discusses multiple tasks, deadlines, and team updates in a single conversation. The optimizer identifies topic boundaries, compresses old updates, and ensures the AI focuses on the current task without losing overall project context.

A user studies various subjects like programming, history, and math in one session. The agent switches contexts seamlessly, compressing previous topics to save tokens while retaining key summaries for later recall.

A lawyer reviews multiple case files, switching between different legal issues. The optimizer manages token usage by compressing less relevant case details and preserving only the critical context for the current argument.

Offer as an add-on feature for existing AI chatbot or virtual assistant platforms. Charge a monthly per-seat fee based on token savings and improved performance.

License the optimizer to enterprises for integration into their custom AI workflows. Pricing based on number of concurrent sessions or API calls, with premium support.

Provide the optimizer as a cloud API that analyzes and compresses conversation histories. Charge per 1,000 tokens processed or per session handle.