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In todayâs edition, weâre unpacking OpenAIâs official guidance on prompting GPT-5.2. This release isnât about bigger models. Itâs about stricter behavior, cleaner execution and more reliable agents.
GPT-5.2 follows instructions better but itâs also less forgiving. Vague prompts now lead to weaker results. Clear constraints, structured outputs and scope discipline matter more than ever.
If youâre building agents, workflows or production systems, this guide explains how to prompt GPT-5.2 so it behaves predictably and performs consistently.
Love you,
đŠđť Kris & The AI Central Team

What Changed in GPT-5.2 Prompting ⤾ď¸
Download this guide if youâre using GPT-5.2 in real workflows.
This is not a prompt list. Itâs a behavior manual.
Inside the guide, youâll learn:
Why GPT-5.2 is more concise and more disciplined by default
How to control verbosity and output shape explicitly
When to use compaction for long-running agent workflows
How to design prompts for tool-calling and parallel execution
GPT-5.2 favors correctness over creativity. It follows instructions more closely but only if those instructions are explicit. Ambiguity now reduces performance instead of flexibility.
The guide also explains how to migrate safely from GPT-4o, GPT-4.1 and GPT-5.1 without breaking behavior. Most prompts still work but only when scope, reasoning effort and verbosity are controlled deliberately.
Action steps to apply today:
Audit your prompts for vague language.
Add explicit length and structure constraints.
Separate required outputs from optional fields.
Clamp verbosity for agent updates.
Run evaluations before increasing reasoning effort.
GPT-5.2 rewards discipline. Prompt accordingly.

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