AI Afterhours

The 3 Reasons Your AI App Isn’t Getting To Launch

Massachusetts Institute of Technology

Amazon

Microsoft

PEAK6

Polly Allen

CEO of AI Career Boost, Ex-Alexa Principle Product Manager, MIT Alum.

Yuying Chen-Wynn

Head of AI, Chief Product Officer, MIT Alum.

Identify when your product vision requires complex or unstable tech, and what guidance you need to choose right.

Spot Product/Tech Misfit

Learn common pitfalls, how to avoid them, and when to seek expert guidance.

Escape Vibe Coding Pitfalls

Plan and execute custom go-to-market that fits your product and customers so your launch attracts real users and revenue

Nail Your GTM Plan

The world we all live in: AI skills are the #1 driver of your career trajectoryIn 2024 AI is not optional—it's a requirement regardless of the job. But AI is moving so fast that many of us feel on the verge of being left behind. Which model is best at which task? When do I switch models when they come out every week? This isn't just another tech trend. Missing out on AI fluency has career-altering consequences. Longer job searches. Delayed promotions. And soon we'll start seeing vague statements about AI skills in the essential requirements of most tech jobs. But even though AI fluency is THE skill of the 21st century, no one has defined clearly what baseline AI skill expectations look like. The Challenge: Most of us are figuring out the most important skill of our professional lives on our own. How do you level up if you don't know what you're aiming at? That's why I created this course. I believe there are two critical career level-ups in 2024: 1) Understanding which human skills are AI durable and investing in them 2) Learning how to allocate work across human and artificial intelligence Your next ten years will be mostly shaped by these two factors. And this course is designed to make sure your next ten years are great ones by equipping you with the skills, baseline knowledge, and hands-on experience you need to get rolling. The GoalYou'll walk out of this course with more than just foundational knowledge of AI, an understanding of what different models can do, and hands-on skills applying models. You'll have spent time on your own durable human skills as well. You'll have discovered a sense of what you're good at that you can invest in as a human skill alongside evolving artificial intelligence. Ultimately, you'll walk out of this course with a personal toolkit to take you through the next decade with AI. How We'll Get There The AI Career Accelerator is an intensive 3-week program designed to supercharge your knowledge of your own durable skills, fast forward your AI proficiency, and get you going on your career goals—both at work today and for the next ten years. Hands-on Experience: Get practical skills with cutting-edge AI tools like Claude, Replit, Cursor, ChatPRD, ChatGPT, and Playground. Personal Skill Assessment: Figure out your own unique human skill fingerprint, and identify the parts of your skillset likely to remain durable even as AI grows more capable. Real-World Applications: Explore how AI is actually used in various industries and roles. Project-Based Learning: Develop an AI-powered project using a 'small bets' mindset, applying your new skills to real-world scenarios. Career Strategy: Put it all together with a career strategy that leverages both your human skills and a plan around how you want to leverage the skills you learn in class to keep growing as AI evolves. Stay Ahead: Master repeatable approaches to keeping up with AI developments and trends. What sets this course apart:First, what other course helps you figure out what you are good at as a person (that isn't changing in the age of AI) AND helps you level up AI fluency? Besides a laser focus on what really matters for your career, you'll get:1. Interactive live sessions with Nate2. Practical exercises in AI that go beyond theory3. A capstone project with personalized feedback4. A workable career plan in the age of AI5. Ongoing support through a dedicated Slack community Bonus: The Generalist AdvantageAs a hands-on mentor and coach, I've designed this course to stretch your skillset horizontally. My thesis is that generalists will thrive in the AI age, and this course is specifically designed so you develop a broader, more adaptable skill set that enables you to grow your career longterm. That means this course is for anyone in tech who's hungry to grow their AI skillset and multiply value at work and over the next decade. Here are a few examples: 1. Product managers can skill up on foundational AI tech and learn enough to begin using AI to help with PM tasks like customer sentiment analysis. 2. Engineers can figure out their own personal coding workflows in an experiment-friendly space (no prod code here) and develop a plan for growing their own human skillset over time. 3. Entrepreneurs can learn enough about AI foundational technologies to ensure they position products correctly, and get practice leveling up their own personal efficiency with AI. You get the idea! My goal is to get you to conviction and clarity on what you bring to the tech world, so you can develop your own personal thesis on how you add unique value in an AI-driven world. The world has never changed quicker, but hop in with me and let's figure out how to enjoy the ride!

Skill growth in the world of AI has fundamentally changed

Course syllabus

Focus on understanding AI basics and dive into how AI is shaping the career landscape in 2025.

Lesson 1: AI Foundations and the 2025 Career Landscape

Understand real-world AI use-cases and dig into interactive modules focused on understanding how to build with the new rules of the AI landscape.

Lesson 2: Real World AI Use-Cases and Applications

Pick a project and start getting hands-on with building! Work in small groups and get feedback and support as you build.

Lesson 3: Hands-On AI Project Workshop

Use custom prompts and small group conversation to begin thinking through how your own career is changing in the light of AI—you'll leave with tools and confidence to accelerate your career with your new AI skills.

Lesson 4: Building an AI-Leveraged Career Plan

Show off your progress building with AI and get group feedback as well as feedback form Nate live!

Demo Day - Jan 23, 2025 

Close out the course with an optional AMA with Nate, reflecting on learnings and getting extra wisdom for the journey ahead.

AMA (Ask Me Anything) with Nate - Jan 31, 2025

Course schedule

Tech Professionals﻿Product Managers, Engineers, Data Scientists&nbsp;leading AI initiatives.&nbsp;UX/UI Designers&nbsp;exploring AI's impact on experience

Leaders &amp; Founders Tech Leaders&nbsp;guiding AI adoption.&nbsp;C-Suite execs&nbsp;building AI culture.&nbsp;Startup Founders&nbsp;integrating AI into products

Career Advancers Career Changers&nbsp;targeting tech and AI roles in product.&nbsp;Side-gig builders looking to build a 5-9 cashflow-generator

Who is this course for

What you’ll get out of this course

Master key AI tools like Claude, ChatGPT (including Strawberry/o1 model), Replit, and Cursor. Apply these in real-world scenarios to boost your productivity and problem-solving abilities. Develop a personalized AI workflow that you can take back to work right away.

Identify three personal AI quick wins that will level up your career and deepen your personal AI fluency, regardless of your expertise level

Understand AI architecture and foundational concepts in Large Language Models (LLMs). Learn how these shape tech applications in your field. Develop skills to identify and evaluate AI opportunities across various business contexts, so you max your career leverage over time.

Build a repeatable assessment that helps you track how LLMs and other AI technologies are sharpening your specific tech vertical

Grasp AI macro trends, including investment patterns, emerging opportunity spaces, and talent market shifts. Craft a personalized AI-era career plan. Learn to position yourself as an AI-fluent generalist with deep expertise to drive value today at work and over the next 10 years.

Define personal "talent bets" based on long-term AI trends and build a plan to leverage these to accelerate your tech career

Develop strategies to stay current with evolving AI technologies. Cultivate a mindset for ongoing adaptation and growth in the rapidly changing AI landscape. Develop a concrete plan to accelerate your career and differentiate yourself and your tech impact as a "1 of 1" player.

Outline a strong and specific strategy to build and maintain a 5-year edge in your career leveraging AI + next steps to grow over time

Dive deep into the architecture of AI systems, particularly LLMs. Gain insights into how these technologies are applied across different tech domains. Even if you're non-tech, you'll know how transformers work, how attention works, and what reasoning tokens are for. Stay sharp!

Understand AI architecture and foundational concepts in Large Language Models (LLMs) + how these shape tech applications

Survey a wide range of real-world AI use-cases to understand how others in tech are using AI to solve hard problems at work. Develop a radar to identify AI disruptions in your job family and industry, informing product development at work as well as your own career pathway.

Grasp AI macro trends, including investment trends, emerging AI opportunity spaces, shifts in startup development, and talent market changes

Develop hands-on AI build experience through a portfolio-worthy project using a "small bets" mindset. Go from concept to completion, demonstrating your ability to create AI-powered solutions. Gain practical AI use-case fluency to integrate AI into existing products and process.

Survey a wide range of real-world AI use-cases, so you understand how others in tech are using AI to solve hard problems

This course isn't for:<ul><li>AI-fluent engineers focused only on tech implementation</li><li>Those seeking in-depth coding or AI research training</li><li>Established AI leaders with set strategies</li><li>Quick-fix seekers without learning commitment</li><li>Professionals who are content and not hungry to grow</li></ul>

Who is this course NOT for?

Master AI tools, build real projects, and supercharge your career growth in just 3 weeks

Nate Jones

May Cohort

July Cohort

After speaking with hiring managers at Google, Meta, Microsoft, Nvidia, and Amazon, one message is clear: “We don’t hire PMs who’ve learned AI — we hire PMs who’ve shipped it.” Data shows employers value experience over education.Over 75% of recruiters admit looking for experience first, and certificates second They take AI courses, read whitepapers, and play with no-code tools. But when it comes to launching real AI products, they fall short. Many product managers struggle to:🧐Lead cross-functional teams to build real AI products🧐Validate AI feasibility with real data and models🧐Develop production-ready AI product and launch features with real users🧐Communicate clearly with AI developers and data scientists🧐Showcase credible real-world AI experience on resumes, portfolio, or in interviews 💡 The Gap Is Experience. This Bootcamp Closes It. About the AI Product Management &amp; Startup Builder BootcampThis isn’t just another course — it’s a hands-on, team-based experience where you’ll build and launch a real AI product in just 4-11 weeks. You’ll join a team of AI engineers, data scientists, and designers to:🔍Lead real product development from idea to launch🔍Validate user pain points, data availability, and model feasibility🔍Design, prototype, and iterate with technical experts🔍Build a full MVP — not a mockup — and ship it with real users🔍Launch your product publicly across our 100,000+ tech community From day one, your product gets real visibility and user feedback — not just classroom critique. And beyond launch:✨You'll create a portfolio that hiring managers actually care about✨Get 1:1 resume help and expert review of your AI product story✨Receive ongoing job referrals through our 1,500+ alumni network✨Qualify for seed funding from Product Manager Accelerator if your team is a top performer✨Apply to Y Combinator or other incubators with a real team and working product Don’t fake it until you make it! We teach you to build it before you make it! — and use that momentum to get hired, promoted, or funded. This Isn’t Just Another AI PM Course. It’s a Proven Launchpad. We’ve been running this bootcamp long before we joined Maven. In fact,&nbsp;Product Manager Accelerator&nbsp;(our parent company) has already graduated&nbsp;4 successful cohorts, launching&nbsp;30 real-world AI products&nbsp;last year. 🧭 Two Phases. One Real AI Product.This Applied AI PM &amp; Startup Builder Bootcamp is structured in two powerful phases — designed to take you from AI beginner to AI product leader, with a real team and a real launch. Phase 1: Design Your AI MVP (Weeks 1–4) ✅ Work with PMs and AI designers ✅ Learn AI product strategy and end to end AI PM life-cycle best practices ✅ Build a validated AI MVP ✅ Pitch internal initiatives or get promoted ✅ Earn your AI Product Manager Certification Phase 2: Launch Production Ready AI Product With Real Users (Weeks 5–11) ✅ Work with AI engineers and data scientists ✅ Turn your MVP into a real, launched AI product ✅ Gain users, traction, and unlimited job referral support ✅ Test your entrepreneurial skill set&nbsp; ✅ Eligible for seed funding and Y Combinator prep ✅ Earn your AI Product Leader Certification Learn the full details of Phase 1+2, visit here ==&gt; https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-end-to-end You can join Phase 1 as a standalone, or upgrade anytime to complete the full 11-week journey. Key activities conducted by AI product managers during the bootcamp&nbsp;Phase 1 (in addition&nbsp;to learning our comprehensive curriculum)✅1 AI PM Certification✅1 Product Roadmap Developed&nbsp;✅20 Voice of customer interviews conducted - evaluating product market fit✅Actively manage the tech team and designers using Agile methodology✅1 MVP mock-up designed and unlimited iterations until product launch✅1-5 AI models tested (depending on the product design)✅Attend 2X weekly AI advisor office hours to address development challenges✅1 Product Idea Pitch✅1 Product Demo Presentation What Makes This Bootcamp DifferentWhat Makes Us DifferentMost courses teach theory. We help you ship. 🎯Build a real AI product with engineers, data scientists, and designers — not just a solo prototype🎯Launch with real users through our 100,000+ tech community — starting day one🎯Get job-ready with a portfolio, resume support, and referrals from our 1,500+ alumni🎯Access funding — top teams receive seed investment and YC application support No fluff. No guesswork. Just real-world experience that gets you hired — or funded. Cap into the 1500+ Product Manager Accelerator alumni network to accelerate your career.Ours students works at&nbsp;Google, Meta, Amazon, Nvidia, Apple, Microsoft... 💼Tech:&nbsp;Meta | Google | Microsoft | Apple | LinkedIn | Oracle&nbsp;|&nbsp;Intuit | eBay | TikTok | Nvidia | Uber | Telsa | Amazon Web Services 💼E-commerce:&nbsp;Amazon | Walmart | eBay | Shopee | CVS 💼Hardware:&nbsp;Nvidia | Samsung | Bosch | Dell 💼Travel:&nbsp;Kayak | Delta | Blue Origin 💼Energy:&nbsp;Tesla | Sungrow | Tigo Energy | Lucid Motor 💼Fintech:&nbsp;PayPal | JP Morgan&nbsp;Chase | Capital One | Citi | Morgan Stanley | Visa | Mastercard | American Express 💼Crypto:&nbsp;Binance | FleconX | Gmini

🚨 Don’t Just Learn AI, Launch It!

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

Tuesdays & Thursdays

Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

May 7, 2022

Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Weekly projects

Product managers and Sr. PM looking to break into AI and gain real AI experience that sets you apart

Engineers, Consultants, marketers, analysts, designers, and data scientists seeking hands-on experience building &amp; launching real AI product

Startup founders and CEOs who want to launch a real AI product, grow users, and explore seed funding

Product Managers with a career gap who want to gain valuable skills and fill in the gaps on their resumes.

Hands-on AI product experience is the difference between getting ignored, getting hired, or getting funded.

✅ Apply the Gucci Framework✅ Build a Strategic AI Roadmap👩‍💻 Self-paced learning: Dr. Nancy Li recommends top AI courses (ML, DL, GenAI, LLMs, RAG)📚 Case Study: Analyze Google’s 10-year AI strategy🤝 Group Project: Brainstorm &amp; pitch AI product ideas

Week 1: AI Product Strategy (GUCCI Framework) and AI Basics

✅ AI Product Lifecycle✅ Hypothesis Validation &amp; Scalability✅ MVP, Launch &amp; Success Metrics✅ Model Building &amp; Training🔍 Case Study: Applying AI to Apple Watch – full lifecycle breakdown🤝 Group Project Kickoff: PMs pitch ideas &amp; form teams with AI designers

Week 2: End-to-End Al Product Management Lifecycle

✅Overview of Al models✅Trade-offs and decision-making✅Pricing strategies🏗️Case Study: Comparative analysis of Al models for different applications⚓Group Project: Conduct voice-of-customer interviews and validate AI hypotheses

Week 3: Existing LLM and Al Models, Trade-offs, and Pricing

⛳Description: Students have a deep dive on advanced AI topics&nbsp;💻Key AI Knowledge: Agentic AI, MLOpps, Langchain, Data pipeline, Data drifting, Concept drifting...🤼‍♀️AI Developer Team Match: Pitch ideas and team match with developers and a demo of product mockup and roadmap

Week 4: Advanced AI

In <a href="https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-end-to-end" rel="noopener noreferrer" target="_blank">Phase 2</a>, you'll build and launch your AI product with a team of devs and data scientists. Top teams get funding, promo support, and intros to incubators like YC. Start with Phase 1 or upgrade anytime to the <a href="https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-end-to-end" rel="noopener noreferrer" target="_blank">full 11-week journey!</a>

Week 5-11: AI PM BOOTCAMP - PHASE 2 | Build and launch your real AI product with a team of AI engineers, data scientists, and designers

I’m on a mission to help launch 1,000+ AI products and empower professionals like you to become the next generation of AI product leaders — impacting millions of lives through real-world innovation. Let’s build your product — and your future.﻿— Dr. Nancy Li

Our Mission

Lead a team of developers and designers to create a real life AI product & portfolio that gets you hired or funded

Dr. Nancy Li

Award-winning AI Product Director, Forbes-Featured, MIT, 100k+ followers

Cohort 1

Common Challenges Faced by PMs in AI Projects 1- Justifying AI decisions and demonstrating ROI to stakeholders. 2- Navigating the hype versus the real capabilities of AI. 3- Communicating across teams without deep technical knowledge. 4- Dealing with inconsistent, missing, or messy data. 5- Aligning priorities and expectations between product and engineering. 6- Addressing ethical risks and bias in AI systems. 7- Keeping up with rapidly evolving tools, frameworks, and best practices. If these are your challenges lately then this course is for you. It’s a hands-on, live, interactive course designed for Engineers and technical Product Managers. Perfect for those with a strong familiarity with technical development and who enjoy building prototypes. What You'll Learn 1- Translate AI concepts into clear business value propositions. 2- Ground product roadmaps in realistic technical constraints and opportunities. 3- Communicate effectively with engineering teams—no deep ML expertise required. 4- Apply practical frameworks to align product vision with technical execution. 5- Navigate messy or incomplete data to build functional, user-centric solutions. 6- Identify and address ethical and bias-related risks early in development. 7- Select scalable AI tools that support long-term product growth. 8- Craft metrics and narratives that demonstrate AI impact to stakeholders. 9- Build prototypes with no-code tools like Lovable to quickly test and validate ideas. Course Format - Duration: 4-5 weeks- Live, instructor-led sessions with interactive discussions- Real-world case study following an AI product from discovery to deployment- Hands-on activities to apply frameworks and concepts- Access to a community of peers for collaboration and support Why This Course is Unique For the first time ever, a Product Manager and an Engineer are joining forces to teach AI product management. This unique collaboration combines product strategy with technical know-how, giving you the tools to not only understand AI’s potential but also execute successful AI projects from start to finish. Through this course, you’ll have access to a dedicated channel where you can ask questions, share challenges, and connect with peers and instructors. After each live session, you’ll receive a recording to review at your own pace, ensuring you never miss important details. You’ll walk away with a deep understanding of how to scope, prioritize, and launch AI products that drive tangible results and create value across teams. Who this course is not for: If you are someone who is expecting to do plenty of hands-on coding.

Leading Cross-Functional AI Product Development

June 21 - July 20, 2025

Product Managers new to AI or looking to deepen their AI skills to lead AI Products and collaborate effectively with AI tech teams

AI Engineers, Software Engineers and Engineering Leaders looking to collaborate effectively with Product leads to drive successful outcomes

Program, Project, Strategy, Marketing, UX Design/Research and Business Leaders seeking an understanding of how to bring AI Products to mark

How to set learning intentions and align on goals so you can collaborate meaningfully in the cohort. You'll leave with clarity on the case study and your learning journey.

Introductions & Case Study Kickoff

You’ll develop the skills to translate complex AI outcomes into clear business value, ensuring stakeholder alignment and securing the support you need to move projects forward.

Communicate AI product value to leadership and cross-functional teams

How to frame and prioritize AI use cases so you can discover viable, high-impact product ideas. You'll leave with a prioritized list and prototyping prompts.

Master iterating on AI products: gather feedback, improve, and scale

Learn AI with clear, jargon-free explanations from Deepa, an ML Engineer with over 8 years of experience. You’ll master foundational concepts so you can make informed decisions and speak the language of your tech team.

Learn core ML/AI Foundational concepts and know when to apply them in real product scenarios.

Learn to identify use cases where AI can drive real value and spot scenarios where it’s overkill. Armed with this clarity, you’ll make smarter decisions, avoid costly missteps, and build products that solve problems without creating new ones, like bias or user distrust.

Understand where AI can be leveraged effectively and where it won’t help

Foster true collaboration with your technical teams, ensuring your product vision aligns with their realities. You’ll gain frameworks to bridge the gap between product goals and technical constraints, enabling you to ship AI products faster and more effectively.

Collaborate seamlessly with data scientists and engineers to build winning AI products

Tackle the ethical minefield of AI with confidence by learning to identify and address issues like bias, fairness, and privacy concerns before they derail your product; keeping your users safe and your company out of hot water.

Navigate ethical and regulatory challenges in AI

Learn to evaluate the right technologies for every stage of product development. Whether it’s choosing the best LLM for a chatbot or a vectorization tool for search functionality, you’ll build a toolkit that saves time, cuts costs, and delivers results tailored to your goals.

Leverage the best AI tools to enhance productivity as part of daily workflows

You’ll learn to account for AI’s unique challenges, like data prep, model training, and iteration cycles, so you can deliver on time without compromising quality or over-promising.

Design realistic and relevant AI timelines to meet business objectives

Among the sea of Gen AI Tools, use the right ones that can drastically improve your productivity as a product manager

Leverage Gen AI Tools to increase productivity

Build higher-quality AI products! Live course for PMs & Engineers to apply proven frameworks & bridge product-tech gaps.

Deepa Krishnamurthy

Avinash Mahalingam

Cohort 2

The ChallengeYour days are filled with:🗓️ back-to-back meetings,🚀 sky-high customer or investor expectations,⏱️ wishes that your team could move faster sooner,🔥 wishes that you could move even faster and work on what really matters instead of fighting fires. You start each day with the best intentions, but somehow find yourself constantly reacting instead of leading.&nbsp;Sure, it would be nice to focus on your own goals, but you care about those other people (or at least some of them 😁). They’re colleagues and customers, family and friends... How can you collaborate with them responsively without forsaking your goals and becoming just a (re-)Actor in their story? 🎬 ✨ You wonder if AI can help, you wonder how other leaders are using AI to manage it all and manage their teams--but honestly, who's got the time to figure that out? ⏳ You have a constant, lurking anxiety about what’s falling through the cracks or not getting done, so you work faster. As you try to move faster, people fall short of your expectations and their potential. It causes friction and frustration (even if you hide it well). It's uncomfortable to call out, so you avoid giving feedback or mention it lightly, which makes the situation more uncomfortable. Eventually, you decide to give feedback. Sometimes it goes okay. Often, you try to move through and out of the conversation as quickly as possible because it feels so awkward. Growth and improvements rarely last. You take on more work yourself to get it done. The Solution (Evidence-based. Immediately applicable.)⏱️&nbsp;EVERYTHING YOU READ BELOW WILL BE ORIENTED TO IMMEDIATE APPLICATION DURING THE COURSE ⏱️What if you could shift from reacting to the constant inputs to creating what matters most and leading your team in that direction--everyday? This course will support you, step by step, in building your Operating System to make this shift. Fancy apps aren't enough. Nor are bursts of motivation. A sustainable Operating System has 3 features:🧰 Tools (simple enough to keep using, and amplified by AI)🔁&nbsp;Habits (the tools don't use themselves...except for some of the AI ones we'll build)🧠 Mindsets (you can "productively" spend your life responding to other people's messages and requests--or build something that matters) No, "perfection" isn't possible (or even desirable). But our days--and our results--completely shift when we focus our attention systematically instead of ad-hoc and reactively. And our conversations shift when we stop trying to fix people and start inspiring them to take action and grow. We teach you how to do this by using straightforward approaches that reliably transform defensiveness and friction into self-reflection, connection, and motivation to grow. You will start to look forward to feedback conversations because you will know how to use them as powerful tools for building trust and deepening connection. You will also explore your own mindsets and beliefs around feedback, identifying your own patterns around conflict avoidance, people-pleasing, and controlling behaviors. AI is woven throughout the course, including:1️⃣ building your own Custom GPTs2️⃣&nbsp;mastering your calendar3️⃣ using AI as a practice partner for difficult conversations and coaching skills4️⃣ helping your team use AI, and so much more! Once you've shifted the way you manage yourself and lead your team conversations, applying evidence-based approaches tested with 1000s of managers and amplified with AI, the whole game becomes fun again. Bonus:📝 You will also get 5 step-by-step facilitation guides for sharing and teaching your team members everything we cover in this course. This helps establish shared language and frameworks within your team/organization, and positions you as the leader of change. 📖&nbsp;You'll also get our 20-page Offsite Playbook with step-by-step guidance on how to design and facilitate unforgettable team and company gatherings. 🚀 And you'll get to do this while in a practice lab with other high-growth leaders.

Spend your days fighting fires or each other?

Sundays (+ 1 Thursday)

Weekly Office Hours

High-Growth ManagersReady to move out of IC mode, you want to be the inspiring leader people thank for the rest of their careers.

ExecutivesYou know there's a better way than back-to-back meetings everyday. To scale your impact, you know you must scale yourself first

Startup FoundersYou're expanding your focus from building a product to building a team. And to do so, you need the team to step up fast.

You'll have the Inner and Outer Game in place:<ul><li>A systematic set of habits, tools, and mindsets to define What Matters Most each day and week</li><li>You'll be using your emotions as signals for what needs to happen next</li><li>Your mind will be at ease</li></ul>

Clear Focus & Emotional Balance

Whether you're currently intimidated by AI, curious, or all-in, you will:<ul><li>know exactly how to leverage Claude and ChatGPT to improve your skills and help you prepare for key conversations</li><li>have your own CustomGPT to do a recurring management task FOR you</li></ul>

AI As Your Ally (including your own CustomGPT)

<ul><li>Next Actions template (simplest tool possible to stay organized)</li><li>Weekly Preview Checklist (define what matters most and who should do it)</li><li>Daily Defining Checklist</li></ul>

The Operating System (feel on top of your s***)

<ul><li>Know how to decide WHAT to delegate to increase your leverage</li><li>Know HOW to delegate (to a person or AI) in ways that build confidence and follow-through</li></ul>

The Leverage Framework

<ul><li>GAIN Template for how to structure feedback conversations that inspire response-ability, action, and growth</li><li>how to use AI to prepare and practice</li></ul>

GAIN Feedback Framework

<ul><li>GROW Template for coaching conversations</li><li>The key skill to coach effectively</li><li>Know the difference between a feedback and a coaching conversation</li><li>how to use AI to practice and get feedback on a coaching conversation</li></ul>

GROW Coaching Framework

What if you felt on top of everything and your team were aligning and growing through every conversation with you?

Lightning Lessons

The 3 Reasons Your AI App Isn’t Getting To Launch