How to do prompt engineering for ChatGPT?
ChatGPT excels with explicit instructions and clear formatting. Open with a system-style role that sets tone and constraints, then provide only the context needed. Specify output structure (e.g., JSON schema or bullet rules). For iterative work, keep a running brief: tell ChatGPT what changed and what to ignore. If a response misses the mark, critique it directly and restate the goal—ChatGPT adapts well to targeted feedback. For long workflows, break the task into stages (plan → draft → review → finalize) rather than one giant prompt.
In practice
Ask ChatGPT to summarize the task in its own words before it starts. Misunderstandings surface early and are cheaper to fix.
Where to start
- [01]Create a reusable system message with role, tone, and do/don’t rules.
- [02]Define 2–3 output formats you’ll use repeatedly (JSON, table, bullets).
- [03]Practice staged prompting for longer tasks (plan → draft → QA).
- [04]Maintain a mini-style guide and link it in the prompt.
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