Other suggested roles include "critic, auditor, or mentor," a "critical, practical analyst," or a "debate partner."
One shared prompt asks:
"Every time I present an idea, do the following:
For a more persistent solution, one prompt example recommends putting a critical-thinking directive in Settings → Personalization and changing the tone to "less enthusiastic."
Examples of directives include:
One prompt-engineering tip says that asking ChatGPT to critique your own work directly can trigger overly agreeable feedback.
Instead, frame your request as reviewing a "colleague's work," which that guide presents as a way to reduce the model's tendency to be agreeable.
Instead of "Give me feedback on this business idea," ask for counterarguments, weak premises, failure modes, or concrete fixes.
This shifts the interaction toward comparative analysis and stress-testing rather than general encouragement.
Prompt-engineering guides recommend layering prompts so the model has to reason, reflect, challenge assumptions, and refine your thinking.
Start with a broad critical directive, then follow up with specific requests like "Identify the weakest assumption in my argument" or "What failure modes have I not considered?"
Bottom line: ChatGPT's agreeableness can often be countered through prompting rather than treated as a fixed limitation. By assigning a critical persona, providing a structured critique process, and using personalization settings, you can make it more useful as a critic.
The most reliable approach is to use a detailed, numbered instruction prompt at the start of a conversation or save a critical-thinking directive in personalization settings, rather than relying on one-line requests.