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Dr Hernani Costa
Dr Hernani Costa

Posted on • Originally published at insights.firstaimovers.com

AI Personas & Follow-Ups: Extracting Expert-Level Insights

Your AI strategy is only as good as the questions you ask it. Most teams treat AI like a search engine—surface-level queries, surface-level answers. But CTOs and strategists who master persona-based prompting unlock insights that competitors miss, creating a measurable edge in competitive intelligence, market research, and strategic decision-making.

Hello again, "First AI Movers"!

We've learned that choosing the right AI model and crafting clear prompts are essential. Now, let's talk about how to unlock even deeper, less obvious insights from AI by giving it a specific "persona" and using smart follow-up questions. This can give you a real edge in getting information that goes beyond a standard search result.

Think about asking a question about history. A basic prompt might get you a summary from Wikipedia. But what if you could tap into the knowledge base of a seasoned historian, someone who understands nuance, context, and less-discussed angles? You can, by telling the AI to adopt that persona!


Step 1: Setting the Stage with a Persona Prompt

You can instruct the AI to act as an expert in a specific field. This subtly shifts how it accesses and presents information, focusing on the depth and perspective of that role.

  • Initial Persona Prompt Example: "Act as a leading expert on the social and economic impacts of the Industrial Revolution in 19th-century Britain. I want to understand some of the less-discussed consequences for everyday life beyond factory work. Begin by giving me a brief overview from this perspective."

  • Why this works: We're not just asking "Tell me about the Industrial Revolution." We're assigning a role ("leading expert"), specifying the focus ("social and economic impacts... beyond factory work"), and asking for a particular type of information ("less-discussed consequences"). This immediately tells the AI to go deeper than a surface-level summary.

Step 2: The Initial (Expert) Response

The AI, adopting the historian persona, won't just give you facts about steam engines and factories. It will likely frame the overview in terms of societal shifts, changing class structures, and perhaps early impacts on family life or migration, using language a historian might employ.

  • Expected Initial Insight (from AI): While covering the major shifts, the AI might mention the rise of new forms of leisure dictated by factory schedules, the impact on rural communities as people migrated, or the changing role of women and children beyond traditional agricultural work.

Step 3: Strategic Follow-Up Prompts for Deeper Insights

This is where you push for the less obvious. Based on the AI's initial expert overview, you can ask targeted questions that encourage it to explore more nuanced or underexplored areas.

  • Follow-up Prompt Example 1 (Seeking Nuance): "That's interesting about the changing rural life. Can you elaborate on the specific long-term social challenges faced by families who didn't migrate to industrial cities, perhaps focusing on agricultural laborers?"

  • Why this works: You're taking a point from the AI's initial response ("impact on rural communities") and asking for a specific, potentially less-discussed angle ("families who didn't migrate," "agricultural laborers," "long-term social challenges").

  • Follow-up Prompt Example 2 (Seeking Connections/Alternative Views): "Beyond the economic factors, what were some of the cultural or psychological impacts of the rigid factory timetables on workers, something that might not be immediately obvious?"

  • Why this works: This prompt explicitly asks for impacts that are "not immediately obvious" and specifies less common angles ("cultural or psychological impacts," "rigid factory timetables"), pushing the AI to connect dots beyond standard economic analysis.

Step 4: The Refined, Edge-Giving Response

After these follow-ups, the AI, still in character as a historian, can provide richer details. For Follow-up 1, it might discuss the decline of traditional seasonal work, increased poverty in non-industrialized areas, or the breakdown of traditional village support systems. For Follow-up 2, it could delve into concepts of time discipline, the loss of autonomy compared to agricultural work, or early forms of industrial fatigue and its societal perception.

These are the kinds of insights that move beyond a basic understanding and provide a more comprehensive, expert-level view—an advantage for anyone researching the topic.

Your Advantage as an "AI Mover"

By using personas and thoughtful follow-up prompts, you're not just pulling facts; you're engaging in a more sophisticated form of information discovery. You're guiding the AI to think like an expert and explore the subtle, interconnected, and sometimes overlooked aspects of a topic. This is a powerful way to gain unique perspectives and a deeper understanding, giving you a clear edge in your learning or work.

Start experimenting with personas and see what deeper insights you can uncover!


Written by Dr. Hernani Costa | Powered by Core Ventures

Originally published at First AI Movers

Technology is easy. Mapping it to P&L is hard. At First AI Movers, we don't just write code; we build the 'Executive Nervous System' for EU SMEs through AI readiness assessments and workflow automation design.

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