Artificial intelligence is no longer a futuristic concept in finance—it has become a core driver of smarter, faster investment decisions. Leading this transformation is Edward Frank Morris, CEO of Enigmatica and a global authority on Prompt Engineering.

Morris has shown the world how to combine deep financial insight with cutting-edge AI tools. From multiplying his returns during ARM’s IPO to building digital investor simulations, he demonstrates what’s possible when AI is treated as a thinking partner rather than a mere search engine.

Here are the five strategies Morris recommends for investors who want to unlock real performance with AI tools like ChatGPT:

1. Make AI part of your daily routine Morris stresses that using ChatGPT effectively requires practice. Like speaking with a business partner, you need to understand its quirks, strengths, and limitations. Daily use teaches you how it interprets vague versus precise questions, which phrasing delivers meaningful insights, and where its blind spots lie. Takeaway: The more you use AI, the more valuable its outputs become.

2. Focus on mindset over frameworks Prompt frameworks such as “Role-Task-Format” are useful starting points, but Morris emphasizes that results depend on how you think about prompting. Treat it like engineering: iterate, diagnose, and refine. Subtle shifts in language can completely change results. Takeaway: Frameworks get you started—an engineering mindset gets you results.

3. Build information funnels with AI research tools Instead of relying on surface-level searches, Morris advises using platform research features to gather wide-ranging insights—such as industry trends, regulatory changes, or hidden variables that influence valuations. Once collected, refine the data into concise, actionable reports. Takeaway: Use AI to go broad in research, then sharpen your focus.

4. Create digital investor twins One of Morris’s most innovative approaches is building AI personas that mimic real investor archetypes. By giving them distinct backgrounds, investment styles, and emotional filters, you can run scenarios through these “digital twins” to stress test decisions. Takeaway: Human-like AI personas add perspective to machine logic.

5. Context is everything According to Morris, vague prompts lead to weak results. Telling AI to “act like an analyst” isn’t enough. Instead, specify education, expertise, style, objectives, and tone. The more context you provide, the more accurate and valuable the response. Takeaway: Precision in prompts creates precision in insights.

Beyond strategy: overlooked benefits of AI in finance Morris points out three additional advantages: AI can automate routine tasks like reports, enhance communication through briefings and pitch decks, and help investors recognize blind spots by offering alternative viewpoints.

Advice for aspiring AI investors For those just starting, Morris recommends four golden rules:

• Invest in access to the best models

• Build systems and workflows, not one-off habits

• Upskill teams, not just individuals

• Practice consistently, adjusting and refining

The bottom line Morris is optimistic but realistic: AI won’t replace hard work, but it will reward those who put in the effort to master it. As generative tools continue to mature, he believes investors who adopt these methods will lead the next wave of financial innovation.