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Context Window Quest

Updated: 2026-05-03

Master what stays, what drifts, and what gets loaded

A practical quest for long AI work: token budgets, attention drift, prompt architecture, human steering, compaction, handoff boards, RAG, prompt caching, meta-dialog debugging, and context hygiene.

10 tracks · 50 lessons · ~26h · difficulty: intermediate

Level 0Window Watcher
0 XP0/50 lessons0/13 achievements
0/100 XP to next level100 XP to go0% complete
Context Window Quest turns long AI collaboration into an operating discipline. It is not a token-trivia course and not a compact-button tutorial. Ten tracks, fifty lessons. You will learn what a context window actually contains, why advertised capacity is not uniform reasoning quality, how attention drifts, why position bias matters, how to architect prompts in spine-body-tail, why the human collaborator must decide what still matters, how to checkpoint before compaction, when to use RAG vs long context, how prompt caching rewards stable prefixes, how to debug context with the model's own introspection, and how to run coding-agent sessions without context rot. The central rule is simple: the right amount of the right context, in the right order, with the right human steering, beats the biggest possible blob.

Tracks

  1. 01🪟What a Context Window Really Is

    0/5 lessons

    Working memory, not memory

    Separate model weights, prompt, retrieved context, tool results, output budget, and the human steering that makes all of it usable.

    Lesson list (5)Quiz · 5 questions
  2. 02🧮Token Economics

    0/5 lessons

    Count what you spend

    Understand tokenization, input/output/reasoning budgets, multilingual cost, cache asymmetry, and why measuring beats vibes.

    Lesson list (5)Quiz · 5 questions
  3. 03🧭Attention Drift

    0/5 lessons

    Capacity is not equal quality

    Why advertised windows are not uniformly usable, why middle content gets lost, and why safety margin beats heroic stuffing.

    Lesson list (5)Quiz · 5 questions
  4. 04🏛️Prompt Architecture

    0/5 lessons

    Structure beats stuffing

    Design prompts in spine, body, and tail. Use section markers, role discipline, and self-documenting structure for long context.

    Lesson list (5)Quiz · 5 questions
  5. 05🤝The Human in the Loop

    0/5 lessons

    Meaning needs an owner

    Turn the human collaborator into an explicit part of context management: steering, correction, authority, and stale-truth cleanup.

    Lesson list (5)Quiz · 5 questions
  6. 06📋Compaction and Handoff

    0/5 lessons

    Preserve state before it rots

    Build checkpoints, compact deliberately, and hand the next agent the truth instead of a nostalgic transcript.

    Lesson list (5)Quiz · 5 questions
  7. 07🗂️Library Strategy & RAG

    0/5 lessons

    Pointers beat piles

    Do not load everything. Index, point, retrieve, inspect, and unload like a careful operator.

    Lesson list (5)Quiz · 5 questions
  8. 08Caching and Stable Prefixes

    0/5 lessons

    Speed and cost come from structure

    Learn prompt caching, stable prefix design, cache-busting mistakes, and provider-specific knobs.

    Lesson list (5)Quiz · 5 questions
  9. 09🩺Meta-Dialog Debugging

    0/5 lessons

    Ask the model what the model sees

    Make the model introspect its own context: drift audits, re-prompt spirals, self-disagreement, tool-trace reading, and cache-hit probing.

    Lesson list (5)Quiz · 5 questions
  10. 10🛡️Context Operations Playbook

    0/5 lessons

    Run long AI work safely

    Apply context hygiene to coding agents, quest remakes, reviews, debugging, and live collaborator workflows.

    Lesson list (5)Quiz · 5 questions
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💛 by Ttoriserious

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