{"version":"1.0","type":"card","id":"7c4ed5c0-9ec5-47b5-b694-50868e169ae4","url":"https://stacklist.com/card/7c4ed5c0-9ec5-47b5-b694-50868e169ae4","title":"Using Prompts to Optimize Token Usage in AI Models","source_url":"https://x.com/hooeem/status/2064740054115717322","note":"This page discusses how to effectively use prompts in cheaper AI models to create precise plans before utilizing more expensive models like Claude Code or Codex. It highlights the importance of minimizing token waste while maximizing output quality.","image":{"url":"https://ucarecdn.com/018e027b-22e1-46aa-97e3-ed1b2d848879/","alt":"Using Prompts to Optimize Token Usage in AI Models","width":200,"height":200},"stack":{"id":"539051c9-e760-4bd5-a86b-ac120e4ae368","title":"AI Software Development","url":"https://stacklist.com/stack/539051c9-e760-4bd5-a86b-ac120e4ae368"},"created_at":"2026-06-16T02:35:42.020Z","updated_at":null,"aco":{"summary":"hoeem shares a two-prompt workflow strategy for reducing token waste in expensive AI coding tools like Claude Code and Codex by first planning in a cheaper model. The first prompt, attributed to Karpathy, establishes a detailed system persona emphasizing accuracy, intellectual rigor, independent reasoning, and explicit confidence levels.","tags":["prompt-engineering","token-optimization","claude-code","codex","ai-workflow","cost-efficiency","system-prompts"],"key_entities":[{"name":"hoeem","type":"person","confidence":0.9},{"name":"Andrej Karpathy","type":"person","confidence":0.85},{"name":"Claude Code","type":"technology","confidence":0.95},{"name":"Codex","type":"technology","confidence":0.9},{"name":"token optimization","type":"concept","confidence":0.95},{"name":"prompt engineering","type":"concept","confidence":0.9},{"name":"X (Twitter)","type":"organization","confidence":0.7}],"classification":"snippet","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-06-16T02:35:50.369Z"},"token_counts":{"approximate":1053,"cl100k":1148},"content_hash":"sha256:756893aaab9b1d50ef58fd4f557241b6dc23be28137ebca132fa91d84df83fae","acp_version":"0.2","body_available":true,"body_tokens":1053,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/7c4ed5c0-9ec5-47b5-b694-50868e169ae4.json","html":"https://stacklist.com/card/7c4ed5c0-9ec5-47b5-b694-50868e169ae4","md":"/api/public/card/7c4ed5c0-9ec5-47b5-b694-50868e169ae4.md","stack_json":"/api/public/stack/539051c9-e760-4bd5-a86b-ac120e4ae368.json"}}