Applied Frameworks

Design a Winning Business Model for Your Product

Capital One

NashBio

InsurePay

Anaplan

Jason Tanner

CEO at Applied Frameworks | Co-Author of Software Profit Streams

Use systems thinking with a canvas designed for profitability

A system to make the right business model decisions

Align the benefits customers desire to the features and capabilities of your offering

How to choose the best pricing model for your offering

Identify and avoid pricing, packaging, and licensing mistakes that could compromise your business model

Avoid common pricing pitfalls

The Problem: Your AI applications create content that is generic, uninsightful and surface-level; you are trying to solve complex, context-specific problems but outputs don't embody your company's intelligence or expertise. The Solution: We teach you evergreen frameworks for building generative systems that learn from your organization's unique data and implicit workflows, turning your expertise into a scalable asset. We focus on the unglamorous but essential work required to harness data with generative AI. You will learn data plumbing, collaborative prompt design, and iterative evaluation to differentiate and de-risk your AI roll-outs.&nbsp; Thing is, your company’s competitive advantage isn't in the raw information, it's in your process. It's the time-proven methodologies your experts use to arrive at insights and deliver unique value. Success with AI comes from converting this 'human excellence' into a scalable, automated system. You will learn how to extract your team's 'unwritten rules' and best practices, ensuring they are faithfully translated into reliable AI outputs. You'll master how to involve experts at every stage of the development process — from initial design and data classification to iterative refinement and ongoing evaluation. You won't just learn this in theory. You will put these frameworks into practice by building a hands-on, contextualized prototype throughout the course. We encourage you to bring in your own datasets and organizational challenges, allowing you to build a tailored solution that directly addresses your unique needs. We have been tranferring best practice onto genAI for half a decade with diverse, knowledge-driven organizations like Visit California, the BBB Wise Giving Alliance and Institute for the Future. For the price of a single course, you get both the proprietary frameworks we use with these organizations as well as our direct support, acting as your on-demand consultants and technical guides to help you apply them within your own knowledge ecosystem. This course if perfect for you if you:- Expect to fill the role of the "AI Point Person" - leader, manager, or consultant responsible for strategic AI implementation.- Are responsible for knowledge architecture or leading cross-functional teams (e.g., experts + developers) to bridge the "data-to-decision" gap.- Want to move beyond generic tools and build context-aware, agentic systems using a principled, no-code/low-code methodology. This course is NOT for you if you:- Are looking for a "learn-to-code" bootcamp; I'll be happy to explore more code-heavy applications in our one-on-one, but the content focuses on high-level frameworks and no-code/low-code tool implementation.- Are looking for laid back content consumption. That you get on YouTube for free. Here we expect you to bring your own organizational challenges and be ready to solve real problems in your work using the material.

Transform Your Organization's Expertise Into AI-Powered Competitive Advantage

Course syllabus

Synchronous zoom lecture on Friday, focusing on the conceptual backbone of AI agent functionality and applications. Recordings of class will be available soon after its completion.

Fridays

An async walkthrough will guide you in building functional prototypes of AI Agents. You will get to shape the project deliverable. Instructor will be available for unlimited one-on-one guidance and collaborative building.

Weekly projects (async)

Optional office hours right after each class where you can ask questions and receive personal guidance on developing your AI applications.

You are buying more than a course - you are also hiring professional consultants for unlimited individualized help with your hands-on projects, strategizing your application, and ultimately preparing you to deploy a real AI project with real market value.

1:1 Coaching

Course schedule

Executive Leaders who need a framework to convert their company's domain expertise and workflows into a scalable, competitive AI asset

Project/Product Managers who need a framework to bridge domain knowledge with technical teams to scale expertise with AI

Consultants who want to guide clients in building differentiated, insight-driven and context-aware AI solutions

Who is this course for

What you’ll get out of this course

Master the end-to-end methodology from initial requirements to production launch, including risk assessment, phased implementation, and organizational adoption strategies that minimize disruption while maximizing competitive advantage

Strategic AI Integration Frameworks

Transform unstructured institutional knowledge like meeting transcripts, reports, and backlogs into agentic systems that prevent your expertise from walking out the door with the next turnover

Culture Capture From Unstructured Data

Design and implement human-in-the-loop evaluation systems and testing methodologies that ensure trust, relevance, and reliability

Quality Assurance and Evaluation Frameworks

Navigate technical tradeoffs across compliance, latency, and cost vectors while managing non-technical stakeholders through AI development cycles and scope definition

Strategic Decision-Making and Project Management

Update your awareness with strategic foresight and thorough ecosystem analysis of AI affordances in specific industries, domains and modalities, enabling informed investment decisions and long-term positioning

AI Ecosystem Intelligence and Future Planning

Automate and amplify institutional knowledge through AI agents that embody your cultural DNA

Lev Gorelov, MS

Jeremy Kirshbaum

Cohort 16

Cohort 17

Stop managing AI chaos. Build systematic capabilities that drive measurable impact using frameworks previously tested with enterprise teams.

Product Leadership + AI Expert

Google

Amazon

The Boeing Company

PayPal

Qualcomm

Michael Hirsch

Product Leadership + AI Strategy | Ex-Sony, Qualcomm, T-Mobile | UW Professor

Did not happen

Cohort 8

Your team is using AI—but it's chaos. Everyone's got different tools. Someone swears by ChatGPT, another uses Claude. No one can explain what's working. Your "AI strategy" is random experiments with no measurable impact.Other product leaders are building systematic capabilities, transforming teams, and getting executive recognition.This course moves you from AI chaos to AI confidence.In three weeks, you'll:<ul><li>Assess your team's AI readiness using a 6-competency framework</li><li>Design systematic upskilling plans that build real capability</li><li>Build AI product strategies with clear metrics and timelines</li><li>Lead governance decisions that balance innovation with responsibility</li></ul>What makes this different: You work on your actual challenges—not case studies. You use frameworks I've developed with enterprise product teams. You create implementation plans for your context, not generic best practices.Real outcomes from past students: Kate was promoted to Group Product Manager and now leads her company's AI development team. Dan launched his company's AI Studio despite having no coding experience.No technical background required. Just product leadership experience and commitment to execution.

While Your Peers Position Themselves as AI Leaders, Where Does That Leave You?


Diagnose exactly why your team's AI efforts aren't driving business impact

Turn random AI experimentation into systematic capability-building that scales

Make AI governance decisions that protect users without killing innovation

Walk away with implementation plans, not just notes—ready to execute immediately

Product Managers stuck taking notes while less experienced colleagues lead AI initiatives because they can articulate strategic value better

Senior PMs recently promoted to team leadership discovering that building AI-capable organizations requires completely different skill sets

Product Leaders managing AI experimentation theater: everyone uses different tools, no one can explain what works, leadership wants answers

At Product Faculty, we have a core belief we share with our members: "Don't compete—contrast instead." This principle is the key to building great products, but it's even more critical for the leaders building them. In a world where AI tools are becoming a commodity, the most indispensable leaders will be those who offer a distinct strategic vision. This program is designed to help you become that contrasted leader—one who architects the winning strategy that the C-suite is looking for. AI Moat Blueprint™ ReviewAs a member of our cohort, you'll receive something we'll never offer again: detailed written feedback on your AI strategy blueprint, personally from Miqdad Jaffer. This is more than a one-time critique; it's your opportunity to internalize a powerful, portable framework for building a defensible moat. The process is designed to forge your contrast as a leader, turning this strategic skill into your personal leadership signature. This level of in-depth, personalized feedback from an OpenAI Product Leader is the kind of strategic guidance typically reserved for executive consulting engagements—a unique opportunity to make yourself indispensable. Early bird pricing available for the first 50 students, prices increasing by $500 after. AI is not just another platform shift; it's a paradigm destroyer. The product playbooks that created the last generation of software are now obsolete. Companies that built durable moats are watching them evaporate overnight. In this new era, a temporary technological edge is not a strategy—it's a trap.The most important question a leader can ask now is not "What can we build with AI?" but "How do we build a defensible, profitable business with AI when our competitors have access to the exact same tools?" This course is the definitive answer to that question. It is not a course about the theory of AI. It is a dense, practical masterclass on the new, non-obvious principles of building a business that can win in the age of AI.As you master the principles of AI Product Strategy:-&gt; You will be able to identify and build lasting competitive moats that are not dependent on the underlying AI model.-&gt; You will learn to price, package, and take AI products to market in a way that is profitable and sustainable.-&gt; You will be able to confidently manage an AI P&amp;L and make high-stakes investment decisions.-&gt; You will better influence your CEO, Board, and executive team because of the clarity and rigor of your strategic thinking. Leaders who master AI Product Strategy will be entrusted to run the most important initiatives at their companies. This will substantially grow their impact, scope, and career trajectory. WHY THIS COURSE:In this practical, examples-heavy course, you will learn and apply the frameworks for building a winning AI business. We will look at dozens of real-world AI products to analyze what makes them defensible (or not). The material is delivered live by a leader from OpenAI, and every hour is designed to make you think about business strategy in ways most leaders never will. SHOULD I JOIN THIS COURSE?This is an advanced course for experienced leaders accountable for the commercial success of their products. There is no specific level cutoff, but you will get the most out of it if you are at least at the Sr. PM / Sr. Eng Lead level, and even more if you are a Director, VP, C-level executive, or Founder. WHERE ELSE CAN I LEARN THIS STUFF?The frameworks in this course are based on hard-won, real-world experience building and scaling products at the very frontier of the AI industry. They are not available in any books, podcasts, or newsletters. This course is the only place to learn them. WHY LEARN FROM MIQDAD JAFFER?Miqdad sits at the unique intersection of a foundational AI platform (OpenAI) and a scaled commercial enterprise (Shopify). He has not only built and scaled AI products to millions of users but now helps lead product at the company building the models themselves. He has a rare, ground-truth perspective on the specific strategies that separate the companies that win from those that become a thin, unprofitable wrapper around an API. WHO SHOULD NOT TAKE THIS COURSE:This course is not for everyone.You should NOT take this course if:You are looking for an introduction to AI or Product Management. This is an advanced strategy course.-&gt;You are primarily looking for tactical skills like prompt engineering or how to use AI tools.-&gt; You believe that having a better AI model is a sufficient long-term strategy.-&gt; You are uncomfortable with ambiguity and prefer clear, "by-the-book" frameworks over learning new mental models for a new paradigm.-&gt; In practice, you prioritize shipping features quickly over building a durable, long-term business.

When everyone has the same APIs, your strategy is your only true advantage.

This course is for experienced leaders (PMs, Eng, Founders) accountable for product success. It is not a foundations course for beginners.

Advanced Program Prerequisites

If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

OnDemand Content

Join live sessions to work through real-world AI case studies. Engage with exercises and get your questions answered by expert Miqdad. Gain practical insights that turn theory into action, with direct support tailored to your unique challenges.

Live Case Study and Q&A

Timings for each session have been chosen based on what works best for most product people in practice. Don't worry about missing classes, recordings for all modules will be made available for you to watch in your Maven account.

Optimized for busy execs

Senior Product Leaders (VPs, Directors):Your roadmap is obsolete. Get the frameworks for building a defensible moat and managing an AI P&amp;L.

For Eng. &amp; Tech Leaders: Your tech advantage is temporary. This is the playbook for connecting engineering to a winning business strategy.

For Founders &amp; C-Suite: Strategy is your only durable advantage. This is the playbook on building a profitable company, not just a produc

Build a Lasting Competitive Moat that isn't dependent on having a better model.

Master the New Go-to-Market Playbook for pricing, packaging, and selling high-value AI products.

Manage an AI P&L by understanding the new cost structures and building a compelling business case for your strategy.

Develop a "Full-Stack" AI Strategy that aligns your product roadmap, data acquisition, and GTM motion into a single, defensible system.

Communicate with Confidence and influence your CEO, Board, and executive team because of the clarity and rigor of your strategic thinking.

AI is decimating old business models overnight. Go beyond demos and learn the frameworks to build a lasting competitive moat and win.

Cohort 1

Miqdad Jaffer

Product Leader at OpenAI, TechCrunch & MIT featured, Top 100 by Business Insider

Cohort 2

Never again get stuck with feedback piling up. Use AI Analysis that works - reliable, repeatable processes for customer insights in hours.

Ex-Head of Research, Spotify Business

YouTube

Canva

Spotify

Ramp

Caitlin Sullivan

Ex-Head of User Research at Spotify Business, Advisor to AI platforms, Top 100

Does this sound familiar?You're drowning in customer feedback—support tickets, NPS comments, interview notes from five different studies—and your next big product decision is in days.You need to turn all of that into a clear recommendation. Yesterday.You've used AI constantly. But it gives you:<ul><li>Generic themes like "users want better UX" (thanks, very helpful)</li><li>Insights you can't trace back to actual quotes</li><li>That nagging feeling you missed something important</li></ul>You end up re-reading everything manually anyway.AI "saved" you zero time.🙋‍♀️ I've been there. Why trust me?1. Ex-Head of User Research at Spotify Business embedded in Product—sitting alongside PMs shipping B2B products. I know how fast feedback piles up.2. Product teams like Maze hire me to fix prompts behind their AI tools—I help them build the functionality that gets customers better results.3. Trained 450+ people at Canva, YouTube, Figma, Meta, and more to use AI for analysis they can actually defend in high-stakes decisions.4. 1000+ hours testing AI for customer insights. I've cracked what actually works for product decisions. I'm teaching my stress-tested tactics in a NEW version of my highly rated course (4.8/5), just for PMs.<hr>

Build AI analysis systems you can actually bet your roadmap on.

✅ 3-10x faster analysis - What took days now takes hours

✅ Turn messy feedback into decisions, not obvious "insights" you already knew

✅ Synthesize multiple sources into clear stories

✅  Build repeatable AI analysis systems that save you full workdays

✅  Avoid the dreaded "Oh no, AI made that up!" moment with senior leadership

You've used ChatGPT, Claude, or other LLMs. Ideally, your company has an approved LLM so you can apply lessons with your data immediately.

AI Adoption

You're a PM or similar, responsible for making product decisions based on customer feedback.

Your Role

You have access to customer feedback you want to analyze —or are willing practice with my data.

Testing with Data

You're a PM expected to make evidence-based roadmap decisions on solid discovery -- but you often lack time to be as thorough as you'd like.

You've spent hours digging through feedback to find signal - or cleaning up after AI's bad job at analysis tasks. You need speed + rigor.

You're a CPO / Product leader who wants your team to use reliable AI tactics for decisions based on evidence. Your ROI: Level everyone up.