The faster we move, the harder it is to build – or protect – a culture of trust and honest feedback. You might feel disconnected from your team right when you most need open lines of communication as we adapt to all this change! In this interactive workshop, we’ll practice ways to ask better feedback questions, make space for better answers, and steward a culture of trust and candor. As product leaders, trust might be our biggest human differentiator in a sea of bots.

This session wasn’t written by me. My agent proposed it, and it will build everything you see: the story, the deck and the format, all drawn from the brain I’ve spent years cultivating, a governed body of my thinking, writing and decisions. On the day, I show up as the vessel and deliver whatever it hands me. What happens when your context is rich enough that an agent can think like you, and where does it break? We’ll find out together, live, and then pull back the curtain on how the brain was built, what it knows, what it gets wrong, and what this means for how product people will create and present work from now on.

Is it just us, or is AI emboldening the bros? We’re not crazy, we just need more women in tech to talk about it with. Join us for a discussion / support group form women PMs surviving the AI-ification of the tech industry.

Most product people already move faster with AI on their own. However, their teams aren’t shipping any faster. Roles, handoffs, and reviews were built for people doing every step by hand, and now agents draft the stories, the code, and even the designs.

In this town hall, Jason Moccia and Robert Grashuis of OneSpring walk through AWS’s AI-driven development lifecycle (AI-DLC). They’ll show where it leaves users out and share four Evidence Gates that bring them back in. Then each table rates a real feature against the eight things every agent needs, and we’ll talk through what you found.

There is a word I didn’t know in January. By August I was saying it in every client meeting. AI creates specious results, and almost nobody knows what that means.

Last year, in My AI Is Out of Printer Ink, we talked about the dangers of getting stuck in our thinking. This year, I want to talk about how to think so that you prevent AI from quietly taking a shortcut. That shortcut can cost you credibility in any circle, but the costs are highest at work. Everyone knows that AI can solve problems. Few know how to direct it to get the work done with objectivity, at the complexity and specificity the work demands.

I built AI systems inside eight companies this year, and the word showed up in every one. In dashboards that stayed green while the numbers underneath were wrong. In automation that made hundreds of tasks nobody worked. Once, in an agent I built myself.

Come learn the word, the misses, what caught them, and the five rules I build into all my work.

For twenty years, your UI was the front door. Integrations came in through it too from marketplace tiles, connect buttons and embedded experiences built for humans, with APIs for the developers behind them. Now there’s a third user. Salesforce lets agents run its entire platform through APIs and MCP, no browser required, and plans to meter every call. Shopify stores answer AI agents directly. Atlassian lets Claude and ChatGPT read and update Jira and Confluence. Agents are coming in through the side door.

Drawing on years of designing integrations, this session explores what changes when you design for three users: humans, developers and agents. What breaks for PMs includes seat pricing, engagement metrics and on-boarding. What’s left of the integration UI is human governance: consent, observability, review, exceptions and revoking access. And where PMs add value when agents can build the connections themselves.

You’ll leave with three questions to take back to your team on Monday.

8-time ProductCamp award winner David Eckoff returns with a session to help you change how you think and change your results.

In a world where everyone at ProductCamp is “AI, AI, AI!”, your big opportunity is to develop your Analog Intelligence for conversations with customers who are… human.

This session tackles one of the biggest problems we all face in product development. Everyone knows to get out of the building and talk with customers. But how do you avoid false positives that cause costly mistakes later?

Even the best of the best in our field follow methods that result in false positives. And they teach you those methods, without realizing their methods are highly flawed.

I’ll share the methods and tools I use, so you can discover the truth about your customers.

► Learn the 12 biggest mistakes smart people make in customer discovery

► Discover why your best questions kill customer insights

A fast-moving, hands-on session led by a product guy who has done it himself.

Roy will share how he’s using agentic tools to explore data for business observability. Get inspired and share the AI vision! Using Claude Sonnet 4.5 and MCP connections to answer revenue-impacting data questions. Data pipelining and dashboarding vs. agentic tools. What’s possible today and how do we roadmap agentic data tools for next year? Overcoming challenges with security, tool selection, roles and responsibilities.

Everyone is being told to “get AI experience.” But how do you get it when you’re not on a team or at a company that’s using it? You build.

This year I was back in the job market after 20 years in product. Instead of spray and pray, I treated my search like a product and used AI to build my way through it: an interview prototype for a role I wanted, a 48-hour website rebuild for a small business, a mobile app now headed through App Store review, and an AI-powered system that ran the search itself. Together they became an AI portfolio that did the talking in interviews, and the search ended in an offer.

In this Town Hall, I’ll share the 15-minute story: what I built, what I learned shipping to real users, and why showing the work beat describing it. Then the floor is yours. Bring the skill you want to be hired for, and together we’ll figure out what you could build to prove it.

What does it take to work directly with customers and engineers to turn a business problem into a working AI solution?

Explore the emerging Forward Deployed Product Manager role, where customer discovery, product judgment, technical fluency, and hands-on delivery come together. We’ll examine what companies are asking for and which skills product managers can start building today.

Through an interactive demonstration using Claude and Gemini, Snehal and Dhaval will show how a PM can clarify a customer problem, provide useful context to AI tools, challenge proposed solutions, and collaborate with engineering to prototype and test an approach. The audience will help question assumptions and identify what needs to happen before deployment.

You’ll leave with a practical skills checklist and a reusable workflow connecting customer needs, AI-assisted development, evaluation, and measurable outcomes. No coding experience is required to follow the session.

How the book The Power of Presence helped me to identify blindspots in how I showed up to others.