UK-based independent AI efficiency projectEvidence before claims ยท 2026

Context Budget: Allocate for the Task, Do Not Fill by Default

METHOD FRAMEWORK ยท NO UNIVERSAL OPTIMUM

Context Budget: Allocate for the Task, Do Not Fill by Default

A long-scroll visual companion to the article. It summarizes the articleโ€™s evidence boundary and method; it does not extend the underlying result.

At a glance

Context Budget: Allocate for the Task, Do Not Fill by DefaultFour-step visual: REQUIREMENTS; RELEVANT EVIDENCE; DURABLE TASK STATE; OUTPUT RESERVE. The proportions in this conceptual map are not measured token shares or a recommended context percentage.METHOD FRAMEWORK ยท NO UNIVERSAL OPTIMUM1REQUIREMENTS2RELEVANT EVIDENCE3DURABLE TASK STATE4OUTPUT RESERVEEvidence labels and limits travel with the visual.
Treat context as a task-specific allocation that must preserve requirements and leave room for tools and the answer.

Evidence in scope

  • Keep binding requirements
  • Retrieve only relevant evidence
  • Remove stale/redundant context only after checks

Evidence boundary: The proportions in this conceptual map are not measured token shares or a recommended context percentage.

How to use the diagram

Map each context item to a requirement, source, task state, or output need; test changes against the same acceptance rubric.

What this visual explains: Treat context as a task-specific allocation that must preserve requirements and leave room for tools and the answer.

What it does not establish

No universal context size, token-saving percentage, or quality improvement is measured.

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