Lesson 92 of 2244
Synthesis Vs Summary: The Move That Separates Analysts From Aggregators
LLMs default to summarization. Research demands synthesis. Here's how to prompt for the harder, more valuable thing.
Adults & Professionals · Research & Analysis · ~5 min read
What the two words actually mean
Compare the options
| Summary | Synthesis |
|---|---|
| Compresses one source | Combines many sources |
| Preserves structure of the original | Imposes a new structure across originals |
| Answers: what did it say? | Answers: what does the field think, and why do they disagree? |
| Can be done by Ctrl-F | Requires understanding the field's shape |
LLMs default to summarization because it's linguistically easier. Synthesis requires holding multiple arguments in tension. You have to ask for synthesis explicitly — and give the model a synthesis structure to fill.
The synthesis prompt pattern
- 1Give the model 3 to 10 sources, not just one
- 2Ask for the DISAGREEMENTS, not the agreements
- 3Ask for shared hidden assumptions — this is the most useful output
- 4Demand a quotable synthesis sentence — forces real integration
Key terms in this lesson
The big idea: summary is what ChatGPT does by default; synthesis is what you pay it to do. Prompt for the harder move, explicitly, every time.
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