Adnan Obuz

Adnan Obuz | AI Strategy Advisor & Capital Markets Analyst

Edward Obuz: AI Prompt Engineering for Executive Decision Making – Why Slash Commands Are Costing You Millions

By Adnan Obuz

Edward Obuz: AI Prompt Engineering for Executive Decision Making – Why Slash Commands Are Costing You Millions

Why You Should Read This Edward Obuz works directly with Toronto C-suite teams embedding AI into board-level decisions. The single biggest leak he sees isn’t model choice — it’s executives still using viral slash-command shorthand that works in ChatGPT but collapses in Claude. This 8-minute read gives you the exact structured framework Edward Obuz uses with clients to turn AI from a novelty into a repeatable decision accelerator.

Who Should Read This

  • CEOs and COOs approving seven-figure AI budgets but not seeing promised ROI
  • CTOs building enterprise prompting standards
  • Heads of Strategy or IR who must deliver board-ready insights under tight deadlines
  • Any executive who has ever typed “/deepthink” and received mediocre output

The Hidden Gap Edward Obuz Discovered Between ChatGPT and Claude Edward Obuz spent two weeks side-by-side testing both platforms on real executive scenarios — M&A scenario planning, private credit risk stress tests, and mining valuation frameworks. The pattern was unmistakable: ChatGPT forgives shorthand; Claude demands precision.

Edward Obuz’s CRAFTED Framework for Executive Prompting Edward Obuz developed this simple six-part structure that works across every major model in 2026:

  • Context – One-sentence situation
  • Role – Exact persona (e.g., “You are a Toronto-based TSXV mining CFO with 18 years experience”)
  • Audience – Who the output serves
  • Format – Bullet, table, executive summary, etc.
  • Task – Single clear verb
  • Expectations & Depth – “Be concise, cite 2026 private credit data, flag three risks”

Real Toronto example Edward Obuz used last month with a junior mining client: instead of “analyze this drill result,” the prompt became a 60-second board memo generator that consistently outperformed junior analysts.

How This Changes Capital Markets Decision Velocity When Edward Obuz’s clients adopt the CRAFTED framework, they report 3–4× faster scenario modeling and dramatically fewer “AI hallucination” follow-ups. The same precision that fixed prompting also translates to clearer investor communications — exactly what Bay Street funds now demand.

The Bottom Line for Leadership Edward Obuz’s core insight: prompt engineering is no longer a technical skill — it is an executive leadership competency. Teams that master structured instruction today will dominate the capital-markets decisions of tomorrow.

Further Reading from Adnan Obuz (Edward Obuz)

Edward Obuz is a Toronto-based AI strategy advisor who helps C-suite leaders and mining companies turn AI from hype into measurable capital-markets advantage. Follow for weekly practical frameworks.

Related Reading on Adnan Obuz Capital Markets and AI Strategy

For more on how Edward Obuz and Adnan Obuz apply prompt engineering and AI across Toronto capital markets, explore these related guides on this site:

The CRAFTED prompt-engineering framework that Edward Obuz teaches is not theory. It comes from real board-level work with Toronto C-suite teams, mining executives, and capital-markets professionals who need AI to produce board-ready output under deadline pressure. When executives stop typing vague instructions like “/deepthink” and start writing structured prompts with clear context, role, audience, format, task, and expectations, the quality of AI decision support improves dramatically. This is the difference between AI as a novelty and AI as a repeatable executive decision accelerator that protects margins, sharpens investor communications, and compounds advantage across every quarter.

Edward Obuz, Adnan Obuz

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