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Prompt Mühendisliği

Prompt engineering when agents can take action

Prompting feels pretty different once the model can change something instead of simply returning text like with chat I could throw a big prompt at it and pick through the answer but when an agent is editing a real site I care alot more about what context it already has and exactly where I want it working. I’m finding myself writing shorter instructions and relying more on exist

PROMPT
Prompting feels pretty different once the model can change something instead of simply returning text like with chat I could throw a big prompt at it and pick through the answer but when an agent is editing a real site I care alot more about what context it already has and exactly where I want it working. I’m finding myself writing shorter instructions and relying more on existing context plus tighter boundaries around the task. It's like giving someone enough direction to do the work without accidentally touching five other things. submitted by /u/Various_Win9552 [link] [comments]
1CUSTOMIZE

Replace the bracketed fields with your own goal, audience and context.

2RUN

Paste the prompt into the recommended tool; treat the first output as a draft.

3REFINE

Point out gaps, add examples, and define the output format you want more precisely.

Recommended tool: ChatGPT

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