Manage context and break down tasks
Provide the right source material and turn complex work into checkable steps.
- Organize context and split a complex request into manageable stages.
Context can include source text, constraints, examples, or prior conversation. Supply the information needed for the current task and identify its source. For a complex request, divide work into clear stages with an intermediate result that can be checked. Do not assume that asking a model to “think harder” replaces reliable tools, evidence, or verification.
A small example
steps = ["extract dates from the note", "sort dates", "format a short timeline"]
for index, step in enumerate(steps, start=1):
print(f"{index}. {step}")1. extract dates from the note 2. sort dates 3. format a short timeline
Long context can be truncated, distract from the task, or contain instructions embedded in quoted material. Mark boundaries between instructions and data. For calculations, database access, or other precise operations, use suitable tools and verify their outputs rather than relying on prompt wording alone.
Key takeaways
Organize context and split a complex request into manageable stages.
Test prompts on realistic inputs and validate important outputs in software.
Lesson quiz
5 questions · pass with 4 correct · up to 50 XP
Passing this quiz completes the lesson and keeps your streak going. Questions you miss come back in review sessions later.
Questions about this lesson
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