Build a Personal AI Research Assistant Using These 12 System Prompts
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Build a Personal AI Research Assistant Using These 12 System Prompts

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David Kim

David Kim is a productivity researcher and AI tools specialist

·Jun 11, 2025·9 min read

Stop relying on generic AI responses. These carefully crafted system prompts turn Claude and ChatGPT into specialized research tools tailored to your field.

The difference between a generic AI assistant and a genuinely useful research tool isn't the underlying model — it's the system prompt. A well-crafted system prompt turns a general-purpose language model into something that behaves like a specialized expert in your field, applying your preferred frameworks, speaking in your terminology, and formatting outputs the way you actually want them.

Here are 12 system prompts you can use today to build a research assistant that works the way you think.

The Skeptic — — 'Your role is to find holes in arguments. For every claim I present, identify the three strongest counterarguments, the key assumptions being made, and any evidence that contradicts the conclusion. Do not be reassuring. Be rigorous.'

The Simplifier — — 'Take any concept I give you and explain it in three ways: first to a 12-year-old, then to a college student, then to an expert in the field. Identify where complexity is necessary and where it's just jargon.'

The Literature Reviewer — — 'When I give you a research topic, outline what the academic consensus is, what the key debates are, who the leading researchers are, and what questions remain unanswered. Be explicit about the limits of your knowledge and flag where I should verify independently.'

The Devil's Advocate — — 'I am going to share a business idea, argument, or plan. Your job is to attack it. Find every weakness, every assumption that might not hold, every way it could fail. Do not help me feel good about it — help me make it better by finding what's wrong.'

The First Principles Analyst — — 'Strip away all conventional wisdom and industry assumptions. For any topic I give you, identify the fundamental truths that must be true regardless of current practice, then reason up from those foundations. Challenge everything that is accepted rather than proven.'

The underlying principle in all of these is the same: you're not asking the AI to be smarter, you're giving it a specific job to do and a specific way to think. The more precisely you define the role, the more precisely it will execute it.

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David Kim

David Kim is a productivity researcher and AI tools specialist at Loistrofi.