3 people enrolled last week.
Strategy is your only durable advantage.
In the last 12 months, AI has shifted from a "tech trend" to a market-decimating force. The old playbook—"be first to market" or "have the best model"—is dead. Models are becoming commodities. Features are copied in days.
The leaders who win in this new era won’t be the ones with the best engineers; they will be the ones with the best Strategic Contrast.
This course is designed for Senior Product Leaders, Founders, and VPs who need to move beyond "AI Demos" and architect a profitable, defensible business. We strip away the hype to focus on the hard truths of AI economics:
• The Moat Crisis: Why your data isn't the moat you think it is, and how to build "Contextual Moats" that actually stick.
• The P&L Trap: Why most AI products bleed money at scale, and how to structure unit economics for profitability.
• The "Full-Stack" Strategy: How to align your data acquisition, product roadmap, and GTM motion into a single reinforcing system.
This is not a beginner's survey. It is an executive-level workshop where you will produce your AI Moat Blueprint™️—a rigorous strategic document reviewed personally by Miqdad.
Stop competing. Start contrasting.
AI is decimating old business models overnight. Go beyond demos and learn the frameworks to build a lasting competitive moat and win.
Stop relying on fragile tech advantages. Learn to build "Contextual Moats" using workflow integration and proprietary data loops.
Apply the "4 Hypotheses" framework to validate if your advantage is durable or if it will collapse when GPT-6 arrives.
AI economics are different. Learn to forecast inference costs that scale linearly with usage.
Master the "Cost vs. Quality" trade-off to ensure your product is profitable, not just a cool demo that loses money on every user.
Stop shipping isolated AI features. Connect your data acquisition, product roadmap, and GTM motion into a single system.
Distinguish clearly between Company Strategy, Product Strategy, and AI Strategy to ensure organizational alignment.
Move beyond "hand-wavy" AI visions. Use the AI Moat Blueprint to articulate a clear path to value that executives respect.
Master the USD Framework (Up, Sideways, Down) to manage stakeholder expectations and secure resources for high-risk bets.
Traditional SaaS pricing fails in AI. Learn to price for outcomes and value, not just "seats," to align incentives.
Design a "Go-to-Market" motion that accounts for the specific friction and trust barriers inherent in AI adoption.
Analyze AI's impact on Competition, Company, Capability, and Customer to spot where value chains are breaking.
Identify which of the "5 AI Archetypes" (e.g., Workflow Revolutionary, Domain Specialist) your product must become to win.

Product Leader at OpenAI, TechCrunch & MIT featured, Top 100 by Business Insider
Senior Product Leaders (VPs, Directors):
Your roadmap is obsolete. Get the frameworks for building a defensible moat and managing an AI P&L.
For Eng. & Tech Leaders: Your tech advantage is temporary. This is the playbook for connecting engineering to a winning business strategy.
For Founders & C-Suite: Strategy is your only durable advantage. This is the playbook on building a profitable company, not just a produc
This course is for experienced leaders (PMs, Eng, Founders) accountable for product success. It is not a foundations course for beginners.

Live sessions
Learn directly from Miqdad Jaffer in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Learn to systematically identify and prioritize opportunities for value creation with AI within your organization
Break down business problems and translating them into testable, high-value AI feature hypotheses
Learn key AI metrics, how to define model evaluation criteria, and manage AI sprints
Live sessions
1-2 hrs / week
Projects
1-3 hrs / week
Async content
1-3 hrs / week

Kaleem

Poorvi
Save 25% until Monday
$2,500
USD