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  "path": "/t/the-openai-api-unlocked-a-whole-new-layer-of-building-for-me/1380174#post_6",
  "publishedAt": "2026-05-03T06:23:40.000Z",
  "site": "https://community.openai.com",
  "textContent": "**That ‘Model as a Processor, Runtime as Memory’ split is the gold standard. It solves the context drift problem and keeps costs linear instead of exponential.**\n\n**I’m curious about the ‘write back’ phase. When the system updates the durable state after a step, do you use an LLM to ‘compress/summarize’ the findings into the state, or is it more of a structured data update (like updating a JSON manifest of the project)?**\n\n**This approach basically makes the context window size irrelevant since you’re managing the ‘RAM’ yourself. Brilliant stuff.**",
  "title": "The OpenAI API unlocked a whole new layer of building for me"
}