Model Selection & Token Efficiency
Source title: Model Selection & Token Efficiency. Source description: In this workshop, we cover what tokens are, what burns them, and how to pick a model without slowing down. Key topics covered: Tokens: You are billed for tokens in and out of the model, not for agent actions like search. The harness wraps the model and is tuned per model. Four token types: Input, output, cache write, and cache read. Output costs more than input. Cache reads cost less, and a rule or model change can rewrite the
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Source title: Model Selection & Token Efficiency. Source description: In this workshop, we cover what tokens are, what burns them, and how to pick a model without slowing down. Key topics covered: Tokens: You are billed for tokens in and out of the model, not for agent actions like search. The harness wraps the model and is tuned per model. Four token types: Input, output, cache write, and cache read. Output costs more than input. Cache reads cost less, and a rule or model change can rewrite the
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The title and description alone do not establish the agent autonomy level.
Agents In Use pipeline: video selected by TypeSafe Jev using source title/description only; recording and outcomes not independently verified.
Credit: Cursor
Source published 3 Sept 2026
Source checked 14 Oct 2026
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video · agent-demo
Editorial completeness: 75/100. Measures documented fields, not agent performance or verified outcomes.
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Cursor · YouTube
- Source title: Model Selection & Token Efficiency