@Mikocrypto11: Most people think prompting is just about writing better sentences. This 32-minute workshop from Anthropic talks about something else: why that's not enough. It doesn't tear apart prompt hacks, or "act as", or another $300 course…
Summary
Anthropic's 32-minute workshop emphasizes that good prompts are not single-sentence tricks, but a testable, improvable workflow involving goal setting, boundary definition, self-checking, and edge case handling.
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Cached at: 06/02/26, 07:37 PM
Most people think prompting is just about writing better sentences.
Anthropic’s 32-minute workshop tells a different story: Why that’s nowhere near enough It doesn’t break down prompt hacks Not “act as” Not another $300 course But how prompts are actually built in production
Evals
Edge cases
Model migration
Agent loops
A good prompt isn’t just a sentence.
It’s a workflow that a model can understand, execute, test, and improve. This matters a lot.
Because no matter what comes next — a new Claude Opus or a new Sonnet — the rules that actually hold are probably still these:
- Let the model know the goal
- Let the model know the boundaries
- Let the model know how to check itself
- Let the model know what to do when it hits an edge case
So a lot of the time, a bad answer from AI isn’t necessarily because the model is poor. It could just be that the setup is poor. This prompting playbook — I’d suggest reading it before you blame the AI next time.
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