Lesson 695 of 1596
Context Window Strategy: When You Have Millions of Tokens
Frontier models offer massive context windows. Using them effectively requires understanding what context helps vs costs.
Creators · Model Families · ~24 min read
The premise
Long context is powerful but not always optimal; deliberate strategy beats max-context defaults.
What AI does well here
- Test whether full-document context outperforms RAG for your use case
- Position critical context at start AND end (recency + primacy)
- Test for 'lost in the middle' failures
- Track cost as context grows
What AI cannot do
- Solve all problems by adding more context
- Substitute long context for retrieval quality
- Eliminate the cost-quality trade-off
Key terms in this lesson
Practice this safely
Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.
- 1Ask AI to explain context window in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "Context Window Strategy: When You Have Millions of Tokens" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check long context against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
10 questions · Score saves to your progress.
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