I've been cataloguing AI tools for a while, and ChatGPT is the one where the gap between marketing claims and daily reality is widest.
Here's how I'd group what it's actually used for:
Strong fit
Drafting and rewriting first drafts, tone shifts, summarising long documents
Code explanation and debugging reading unfamiliar code, spotting errors, writing tests
Structured thinking outlines, decision trees, turning messy notes into a plan
Language work translation, tone matching, learning a language through conversation
Works with supervision
Research good at finding angles, bad at citing accurately without browsing on
Data work fine on small clean datasets, unreliable on anything large
Customer support drafting solid templates, poor at edge cases
Weak fit (people try anyway)
Factual lookup without search recall is unreliable
Anything needing current data the cutoff is a hard wall
High-stakes judgement legal, medical, financial
Two questions for people here:
What use case surprised you by working better than expected?
Where have you hit a wall you couldn't prompt your way around?
I wrote up the full breakdown here if useful: ChatGPT Use Cases
Top comments (0)