William Brantley

Fractional CLO. PhD, Multiple Learning and Project Mgmt Certifications with over 25 years experience

Defend Your L&D Return-on-Investment in 30 Minutes

Build a defensible ROI case for any training program.

Turn L&D activity data into business outcome evidence.

Confidently defend your L&D budget to the executive team.

Lead AI initiatives with clear goals, defensible evaluation, explicit risk decisions, and exec updates that drive alignment and investment.

CPO, GM xBraintrust, Nextdoor, OpenTable

Braintrust 🧠

Nextdoor

LiquidSpace I Work from where it works.

OpenTable

BlackRock

Elena Luneva

f-CPO. Product executive (Braintrust, Nextdoor, OpenTable, LiquidSpace)

Ex-Alexa AI Principal PM

Amazon

Elsevier

Schneider Electric

Polly Allen

Ex-Alexa AI PM turned founder at AI Career Boost

Magic

Juggernauts

AI increases what your ICs can do. It also breaks the management systems most teams rely on.Prototypes multiply. Quality becomes subjective. Risk ships quietly. You end up in every review because no one is sure what "good" looks like — or who's accountable for evals, failure modes, and rollout decisions.If you're a Director, Head of Product, or VP with multiple AI initiatives in flight: you're managing something you didn't build a system for yet. Execs keep asking "How do we know it's good?" and "What's the ROI?" — and you're the one fielding it.This two-day workshop gives you the operating system. Not theory. Not frameworks. The actual playbooks, artifacts, and rituals high-performing, AI-native teams use — built during the workshop so you leave with real deliverables, not homework.Leave with:1. A 90-day AI portfolio — clear bets, owners, and decision gates so nothing gets orphaned2. A repeatable risk review process your team can run without pulling you in3. A shared quality bar — examples, acceptance criteria, and review gates so "is this good enough?" stops being a judgment call4. Reusable operating artifacts built during the workshop — actual deliverables, not slides

Get the operating system used by high-performing AI-native teams

Install an AI-native operating cadence that keeps speed and alignment

Run AI risk reviews that drive decisions and confidence

Own and drive evaluation metrics and process, before and after launch

Implement playbooks that let your team move with you, not wait for you

Director/Head of Product: Leads AI initiatives; turns prototypes into production with clear quality, gates, and exec updates.

Eng leader (Sr Mgr/Dir/VP): Ships AI fast while managing reliability, security, and cost with consistent eval + risk reviews.

Data/ML leader (Dir/Head): Owns evals and performance; aligns product and execs with shared language and decision-ready tradeoffs.

Build a complete product with AI: From finding the right opportunity to an on-brand product to defending your decisions under real pressure.

Product, Design Leader | Business Design

Anthropic

Canva

DoorDash

Atlassian

Google

Jacalin Ding

Product Design Leader | 2x Business Founder | Coached 10,000+ Designers

AI products serving 1M+ businesses

MYOB

Karbon

Blackbird

Simon Hilton

AI Product Director | 4 x Author of The Product Leader Series 

Cohort 1

Most AI prototypes die in their first stakeholder meeting. Not because they look bad. Because nobody could answer: What's the evidence? What's the business impact? Why this solution?👉 You're a designer who builds great work but can't prove it drives business outcomes or stays on brand with your design system 👉 You're a PM who wants to validate and prototype fast without shipping generic AI output 👉 You're a founder who needs to move from idea to defensible product before the window closes95% of AI-powered products fail to create measurable business impact (MIT)This course teaches you to answer all three questions and build the prototype at the same time, so you can: ✔️ Find the right business opportunity ✔️ Build an on-brand prototype with AI ✔️ Sell it with a narrative that survives hard business questionsYou walk out with outcome driven, re-usable workflows to drive real value right away.Get to the outcome faster with less noise. No shiny object tooling. We focus on a few good tools to build scalable workflows. This is the course for you if you want: less noise, more quality outcomes, proven workflows to support your strategy.Build faster. Decide smarter. Ship with intent.

Build fast. Decide smart.
40% off code: KICKOFF

Find high-impact opportunities backed by evidence, not guesswork

Turn opportunities into product requirements tied to business value

Build on-brand prototypes that aligns Design System, not AI-generic

Sell your product decisions with a narrative that earns buy-in

Build scalable AI workflows with minimal tools and zero noise

Claude Pro Account

Not afraid to interact with Claude Code Interface

Available 4-5 hours/week during course

Designers (Product, Brand) Senior and Leads struggle to prove the work drives business outcomes or survives stakeholder scrutiny

Product managers Prototype and validate ideas fast without shipping generic AI output that can't survive a business case review

Founders and technical builders Need to move from idea to defensible product fast -grounded in evidence and connected to real business value

Decide what's worth building, before you build it

CPO | Ex Amazon, Intuit, PayPal

PayPal

Intuit

PropertyGuru

Viveck P Kumar

20 years in product. Ex-Amazon, PayPal, Intuit, PropertyGuru.

Most product teams don't fail because they can't execute. They fail because they diagnosed the problem wrong before they started.They picked a behaviour that looked like a problem. They built for acquisition and ignored retention. They launched with a value proposition that made sense to them but meant nothing to the customer on day one.The cost is not abstract. It is wasted quarters on features nobody adopts. It is a retention curve that will not move no matter what you ship. It is walking into a leadership review without a clear answer to why growth has stalled. The execution was not the problem. The value selection was.This workshop teaches the BELT+POLE framework — a diagnostic and design system for product managers who need to stress-test their bets before committing to them.Before this workshop, you evaluate product bets with experience and instinct. After it, you run a diagnostic. You know what kind of problem you are solving and exactly where the architecture is failing. That shift does not wear off.

Know whether a product bet will drive adoption before you commit roadmap, budget, or team to building it.

Leave with a diagnostic you can run on any product decision by next Monday.

This is advanced material for working practitioners. If you've just entered the industry, build foundational skills first, then return.

3+ years actively practising product

Before this course, you're the PM who builds what the roadmap says. After it, you're the PM who decides what the roadmap should say

Founders &amp; CPOs who have a working product but cannot articulate why customers stay, what the moat is, &amp; how to design for it deliberately.

PMs building in fintech, productivity, health, or professional tools who want a diagnostic they can run on any product, any time.

Raise the bar for your AI PM workflows. Live on Claude Code.

ex-Amazon Sr. PM, running 3 ventures

Esade

Typeform

Chargebee

Zoho

Gayathri Keerthana (GK)

Product & AI Consultant, ex-Amazon Sr PM (ML), running 3 ventures

Co-Founder, Level Up; $1B+ P&L; led 40+

Dentsu

Harvard Business Review

IPG Mediabrands

Techstars

Jason P. Yoong

Co-Founder & COO at Level Up (fmr Amazon, VP at Dentsu, Startup - $8M seed)

workshop-1

Most PMs are wondering "how to stay relevant in the AI-PM race."This is what we learned from over 15,000 product professionals who signed up for our <a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/p/b062b8/raise-your-technical-bar-as-an-ai-native-pm">Lightning Lesson.</a>The real question for 2026 is how to go beyond PRDs and get closer to your leadership and engg teams.The answer is not prompt hacks or Claude tips, because they're not strategic enough to make your work look any different from the next PM's.In this 5h workshop, we teach how to produce AI PM artifacts using first principles:🔁 Working Backwards from customer problem to a product spec that engineering can directly build from. Then encode it into your CLAUDE.md so that your AI is context aware every session.🔍 Deep dive orchestrators that navigate fuzzy data and find real root causes. You save the day and present it right.📐Bar Raiser workflows that raise the quality of every AI output, from product specs to QBRs.🎯Agents that use the "8-persuasion factors", before any leadership review.We have seen these principles help scale startups and billion dollar orgs. We see what AI-enabled products are missing today.We will show you how to encode them in artifacts and agents using Claude Code.

Raise your bar as an AI-native product leader

Close the gap between product and engg

Become the Bar Raiser PM that defies AI slop

 You stop re-explaining context to your AI. Control token burn and hallucination

Finding the real root-cause and making it visible

LLM concepts underneath each framework

Every session runs inside Claude. Install Claude Code or Cursor before Session 1. A paid plan (Claude Pro/Max or Cursor Pro) is required.

Claude Code or Cursor installed on your computer

You'll build artifacts from your own context. Leadership reviews, problem scenarios, specs, planning docs, or a Notion/Drive export.



Example product docs, problems, and data you can work with

<pre><code class="language-markdown">Product People - anybody who wears the Product hat (not just PMs), want to raise their technical and quality bar. </code></pre>

<pre><code class="language-markdown">3–10 years in product or engineering; at least 2 years shipping features for a real customer base</code></pre>

<pre><code class="language-markdown">Mid-size, scale-up, or enterprise with an active AI product roadmap</code></pre>