Customer Centric LLC

From Product-Led Growth (PLG) to Progress-Led Trust (PLT)

Citi

lululemon athletica

Wellhub

G Adventures

Humana

John Gusiff

Managing Partner, CustomerCentric LLC

Understand how Product-Led Growth was designed for predictable, observable user journeys—no longer the case with AI.

Why PLG Breaks in AI-First Products

Learn how growth in AI moves from optimizing usage to earning user confidence through felt progress.

The Shift: Product-Led Growth → Progress-Led Trust

Identify the five experience pillars that determine whether users trust an AI product enough to rely on it.

The Five Pillars of Progress-Led Trust

Learn a simple, repeatable method to assess trust gaps in your own AI product and prioritize what to fix.

Applying PLT: Practical Audit

See how progress-led trust compounds over time to drive retention, expansion, and defensible growth.

Closing: The New Growth Engine

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.

Learn how to use AI super powers to accelerate customer discovery, validate solutions, and make better product decisions.

Cohort 4

Product Innovation & AI Trainer

Capital One

Cisco

Wesco

Google

Valerio Zanini

Product Management and Innovation trainer. Author, "AI for Product Managers".

Cohort 3

Morning sessions in the US, evening session abroad

Cohort 5

Using AI in product management is not just about getting better at ChatGPT. It's about leveraging AI across the product development life cycle (PDLC) to accelerate, expand, and simplify what's possible, with AI super powers.In 2.5 weeks, you’ll learn - by doing - how to:<ul><li>Understand how AI works, when to use it, and possible risks for PMs</li><li>Use AI for customer and market discovery including synthetic users and interview synthesis</li><li>Use vibe-coding to build prototypes and MVPs of features or entire products (Lovable, Replit, Claude Design, Figma Make, Claude Code)</li><li>Automate your PM workflow with AI Agents and multi-agent orchestration (including Agents, Skills, Claude Cowork)</li><li>How to build AI products and define strategy VS execution</li><li>Use Evals to monitor the performance of AI products and ensure quality of the outputs.</li></ul>This is a hands-on, instructor-led cohort for PMs who make real product decisions.Duration: 2.5 weeks (short, intensive, focused)Format: Instructor-led cohort with 2 sessions per week (see schedule below) and video lessons for reviewBetween sessions: Hands-on assignments to build the practical experience###DISCOUNTS AVAILABLE: Paying out-of-pocket? Laid off? Email me for 50% OFF

Get AI super powers to grow in your PM job

Accelerate your Product Management job

Use AI to accelerate customer discovery

Leverage vibe-coding in the solution space and prototype quickly with AI

Build repeatable AI-augmented workflows you can reuse in real product work

Build AI-driven products and define strategic choices

Senior Product Managers and experienced Product Owners

PMs who want to move beyond “AI curiosity” to real, practical use of AI in product discovery and development, with hands-on practice.

PMs who want a deep-dive on how to use AI in product work to extend their PDLC.

From Experiments to Scale: How Leaders Build High-Performing, Trusted AI Systems

Fractional Chief Product and AI Officer

Fanatics

eBay Inc.

Walmart

Upwork

Subha Shetty

AI-first product leader, transformation coach, and advisor to F100 and start-ups

June 2026

Evals are having a moment - and for good reason. As AI systems move from pilots to production, leaders are confronting a hard truth: performance without trust doesn’t scale and AI drift is real.But evals alone are not the system.This workshop reframes evals within a broader, executive lens: performance + governance = trust at scale. You’ll learn how leading organizations are moving beyond isolated testing toward building AI systems that are measurable, reliable, and continuously improving.Grounded in insights from leading institutions and practitioners such as the WEF, McKinsey, Deloitte, Stanford HAI, and voices such as Dario Amodei, Andrew Ng and more - this session connects cutting-edge thinking to practical execution. This is a highly interactive session. You will:<ul><li>​Work hands-on to design and build your own eval (for an AI or agent use case)</li><li>​Explore how Guardian Agents, KYA (Know Your Agent), and feedback loops enable trust at scale Why This Matters Now The conversation is shifting from What can AI do? to Can this system scale and be trusted? Winning leaders will go beyond the best pilots - they will build high-performance governed AI systems that are continuously improving.</li></ul>

You will walk away with your first (or improved) eval. 
A trust framework with evals, governance, HITL, Guardian Agents and more...

Diagnose AI trust issues more precisely  

Build your first eval or improve an eval 

Map 20+ trust techniques to solving the issue  

Write your Governance policy 

For product/AI leaders scaling systems<ul><li>You run evals but unsure they're measuring the right things</li><li>You need a system to catch AI drift early</li></ul>

For leaders dealing with org trust<ul><li>Stakeholders are skeptical of AI and you can't articulate why</li><li>You're asked to "make AI more reliable" </li></ul>

For leaders moving from pilots to production<ul><li>You're responsible for AI quality and inherited a system with fuzzy measurement infrastructure</li></ul>

Gain the skills to think strategically, lead confidently, and transform from task‑focused PM to an impactful, outcome‑driven product leader.

Director of AI 

Pepsi

Intel

Swarovski

Jukin Media

Dalibor Jovic

Developer‑turned‑AI director with 20 years and 200+ shipped software projects.

Leadership & Product Excellence Coach

Schlumberger

Odfjell

Tryg

TV 2

Hussam Ahmad

Product leader focused on strategy, execution, and human‑centric leadership

May 26

June 26

AI is no longer optional in product work.Stakeholders ask for AI features.Executives talk about “AI strategy.”Customers expect smarter products.And PMs are stuck in the middle, expected to lead AI decisions without clear guidance, shared language, or proven patterns.Many PMs are asking:<ul><li>Where does AI actually create value?</li><li>How do I avoid chasing AI hype or shipping gimmicks?</li><li>How do I design AI features users trust?</li><li>How do I turn vague AI ideas into real roadmaps?</li></ul>AI features will ship—with or without you having clarity.What PMs Must Know About AI exists to answer those questions, practically, clearly. It is not a technical AI course. It is a product leadership course for the AI era, focused on the decisions PMs are now responsible for:<ul><li>Identifying high‑impact AI opportunities</li><li>Designing AI user experiences that work in the real world</li><li>Making confident trade‑offs when AI is uncertain</li><li>Translating AI ideas into roadmaps, outcomes, and OKRs</li><li>Leading AI discussions without hype or fear</li></ul>You’ll use a simple model called ALPHA™ (explained later) to learn how to think and act like an AI‑ready product leaderThis course is built directly from the questions PMs asked in our most popular Lightning Lessons.

Stop guessing where AI belongs in your product.

Lead AI‑shaped Product Work End‑to‑End

Turn vague “AI strategy” into decisions your team can act on

Make Customer‑Driven (AI‑Savvy) Decisions

Become an AI‑Ready Product Leader

and feel some pressure to “have a plan” for AI—even if that plan is unclear right now.

You should already work on a digital product (B2B or B2C) 

You want an intro to AI/ML or hands‑on coding, don’t currently work on a product with real users
or looking for a purely technical AI course

Not a fit  if:

<ul><li>You’re a PM or Senior PM expected to contribute to AI decisions</li><li>You’re stepping into a Lead or Principal Product role</li></ul>

<ul><li>You're a project managers transitioning to product</li><li>You're a startup founder shaping your first product function</li></ul>

<ul><li>You feel pressure to “have an AI plan,” but want clarity—not buzzwords</li></ul>

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Product managers who drive strategy, development, and launch of products.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Driving user acquisition, activation, retention, and monetization through product-led growth strategies.

From Product-Led Growth (PLG) to Progress-Led Trust (PLT)

What you'll learn

Why this topic matters

You'll learn from

John Gusiff