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)
- Navigating AI: Mastering Slash Commands and Prompt Strategy with ChatGPT and Claude → https://edwardobuz.com/2026/03/30/navigating-ai-mastering-slash-commands-and-prompt-strategy-with-chatgpt-and-claude/
- The AI Trading Adoption Gap → https://medium.com/@adnan_edward_obuz/the-ai-trading-adoption-gap-why-retail-traders-are-missing-the-biggest-market-shift-since-the-b590172e2d8a
- Master Your Zone: The Executive Guide to Navigating Your Circle of Competence → https://edwardobuz.com/2026/02/11/master-your-zone-the-executive-guide-to-navigating-your-circle-of-competence/
- Adnan Obuz: What the 2026 Private Credit Shock Actually Tells Us About AI in Capital Markets → https://medium.com/@adnan_edward_obuz/adnan-obuz-what-the-2026-private-credit-shock-actually-tells-us-about-ai-in-capital-markets-e6e50efa2e3e
- Think Big, Move Fast: The Entrepreneurial Philosophy Reshaping Business in 2025 → https://www.linkedin.com/pulse/think-big-move-fast-entrepreneurial-philosophy-reshaping-adnan-obuz-h7ywc
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.