AI by Hand ✍️

AI by Hand ✍️

The Context Window

Marking what the agent carries

Prof. Tom Yeh's avatar
Prof. Tom Yeh
Aug 19, 2026
∙ Paid

Library › Context Problems

  1. The Context Window

  2. Window Occupancy

  3. Growth per Turn

  4. Remaining Space

  5. Turn Budget

  6. Retrieval Footprint

  7. Retrieval per Turn

  8. Search Rounds

  9. Window Sizing

  10. Truncation

  11. Compaction

  12. The Compaction Bill

  13. Compacted Retrieval

  14. The Compaction Threshold

  15. Verbatim Tail

  16. Stateless API

  17. Retrieval Cost

  18. Context Tax

  19. Quadratic Cost

  20. Cost Forecast

The context window is a hard ceiling; the model cannot see past it, and everything the agent carries has to fit inside. Drawn as cells, the window stops being a number and becomes a space you can fill: divide the tokens by the cell size to get the count, then mark them off. What is left over is the room the conversation still has, and the rest of the chapter is about spending it.

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