29 results found

1. We Shipped Agentic AI in a Regulated Enterprise. The Hard Part Wasn't the AI

   January 2025, Agentic AI was in its infancy — Gartner put significant enterprise investment at 19%, Manus hadn't shipped yet, and there was no playbook for Agentic AI. We started building one for a regulated government entity anyway.

   Six months later, we had our 1st agentic app in production. Most don't get there. Only 15–20% of enterprises move agents past pilot, and Gartner expects 40%+ of agentic projects to be canceled by 2027.

   This talk is about what was actually hard. Not the model. Not the agents. The users. The productization. The gap between a demo that dazzles and a product people trust on a Monday.

   You'll leave with:

   [] Ship the least AI you can get away with, first — why restraint is the rational strategy
   [] Deterministic UX is not polish. It is the product — designing around non-determinism, not pretending it away
   [] The competition you can't see will kill you — the habit your users won't tell you about

   A first-person field report, not a framework. Bring your scars.

   SPEAKER BIO:
   Abhijit Dutta is a product builder, currently shipping AI products at WorkSafeBC, where the multi-agent system in this talk lives in production. Fifteen years across SaaS, B2B, e-commerce, and government (SALUS, APOLLO, Fatigue Science, Trulioo, BuildDirect) — building products that needed to work on a Monday, not demo well on a Friday

   January 2025, Agentic AI was in its infancy — Gartner put significant enterprise investment at 19%, Manus hadn't shipped yet, and there was no playbook for Agentic AI. We started building one for a regulated government entity anyway.

   Six months later, we had our 1st agentic app in production. Most don't get there. Only 15–20% of enterprises move agents past pilot, and Gartner expects 40%+ of agentic projects to be canceled by 2027.

   This talk is about what was actually hard. Not the model. Not the agents. The users. The productization. The gap between a demo that dazzles and a… more

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2. Get the Interview. Ace the Interview. A Live AI Workshop for PMs.

   The PM job market is rough. Most candidates aren't failing at interviews — they're not getting them. And when they do, there's no feedback when it doesn't go well.
   This hands-on workshop covers the full cycle using a free, open-source AI tool demoed live on screen: decoding what a company actually wants, getting past ATS screening, preparing for that specific company's interview format, and running drills with real scored feedback.
   The more interactive, the better. Submit your resume and a target job description before May 9 and I'll work through it live in the session. The room shapes the demo. Your personal details will be anonymized for the demo purposes.
   Submit here: https://productcamp26-ai-workshop.netlify.app/
   Based on "How to Use AI in Your Next Job Interview" by Noam Segal, Lenny's Newsletter.

   The PM job market is rough. Most candidates aren't failing at interviews — they're not getting them. And when they do, there's no feedback when it doesn't go well.
   This hands-on workshop covers the full cycle using a free, open-source AI tool demoed live on screen: decoding what a company actually wants, getting past ATS screening, preparing for that specific company's interview format, and running drills with real scored feedback.
   The more interactive, the better. Submit your resume and a target job description before May 9 and I'll work through it live in the session. The room shapes the demo.… more

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3. Nobody Claps When the Payment Goes Through.

   Every PM wants to ship something people love. But some products aren't built to be loved — they're built to disappear.
   Payments. Compliance. Tax infrastructure. ERP integrations. These are the products that run quietly in the background until they don't — and when they break, it's not a bad review or a drop in DAU. It's a frozen checkout, a regulatory audit, or a finance director on the phone at 3am.
   This talk is for PMs who build in the invisible lanes — or who want to understand what it actually takes to get there.
   Through real war stories from a TSYS-to-Stripe payments migration and a 0-to-1 India GST compliance launch, we'll unpack the mental models that separate PMs who survive high-stakes infrastructure work from those who don't: why edge cases are your real product, why documentation is a deliverable, why reversibility beats velocity, and why "I forgot your product existed" is the best thing a stakeholder can ever say to you.
   If you've ever shipped something critical and heard nothing — no celebration, no Slack emoji, just silence — this talk is about why that silence is the win, and how to build for it on purpose.

   Every PM wants to ship something people love. But some products aren't built to be loved — they're built to disappear.
   Payments. Compliance. Tax infrastructure. ERP integrations. These are the products that run quietly in the background until they don't — and when they break, it's not a bad review or a drop in DAU. It's a frozen checkout, a regulatory audit, or a finance director on the phone at 3am.
   This talk is for PMs who build in the invisible lanes — or who want to understand what it actually takes to get there.
   Through real war stories from… more

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4. Vibe Coded Apps Lightening Session

   Format: 4-5 presenters with 5-mins max each on demo'ing something cool they made.

   Remainder of the talk is Q&A with the audience about anything folks would like to learn.

   I'll be reaching out to folks to join me, but if you are keen - ping me at https://www.linkedin.com/in/paulsave/

   7 votes

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5. The Hidden Costs of Vibe Coding: 500K+ lines, Four Apps, and What Broke?

   Everyone's showing you the weekend demo — "I built an app in one prompt, watch." Over the last several months I've vibe-coded 500K+ lines across four apps and two open-source libraries and several private libraries. The marketing narrative and the operational reality are very different things, and nobody is talking about the second one.

   This session is a field report on what actually breaks at scale — and what I had to build around each problem to keep shipping.

   What we'll cover together:

   • Context management. What it looks like at 50K lines vs. 500K with multiple projects, and when you start losing the plot without noticing.

   • Merge conflict pain across parallel agents. Why it can become unmanageable past three or four concurrent agents — and how I ended up letting LLMs talk to each other across worktrees to resolve it.

   • Reviewer fatigue. The real bottleneck at 500K lines isn't tokens or model cost — it's human attention. What I stopped reading, and what I learned to read instead.

   • Versioning . Shipping new versions to production for your end consumer can be a manual, painful dance that re-breaks your improvement loop at every release.

   • Quick wins you can achieve. Several things that you can get quick wins with and how to prioritize your time.

   The honest takeaway: vibe coding is real, but it's an operations problem, not a prompting problem. The PM skill of the next five years isn't prompt engineering — it's designing the review-and-coordination system around agents that write code faster than you can read it.

   Who should attend

   Product managers who are building (or about to start building) AI-assisted products — whether you're hands-on with the code or just watching your engineers do it. No technical background required; every cost described here shows up in any team shipping AI-generated work at scale

   Format:
   Interactive. Bring your own vibe-coding war stories; the most painful one gets an honest in-room diagnosis.

   SPEAKER
   
   Paul Save is the founder of iD8, an autonomous coding engine for mobile-first product development with integration to VS Code and a Web App, and ResumeWise. He has 10+ years of product management experience, including Group Product Manager for Fulfillment Systems at Best Buy and Senior Product Manager on Microsoft Teams, where he led a team that won a category of Microsoft's Fix, Hack, Learn Global Hackathon. He was an expert on the Mirror Committee "ISO/IEC JTC 1/SC 42 – Artificial Intelligence" for international AI standards, founded Cascadia Data Science Institute, and has been a PM on data science projects since his first Kaggle competition in 2016. Paul has spoken at ProductCamp Vancouver/Seattle/PDX, Central 1 Momentum, AWS Initiate, and Microsoft MVP Summit. His open source portfolio can be seen at https://github.com/AIMLPM and includes:
   - MarkCrawl (fastest open source crawler for LLM/RAG. #1 on 4 of 6 metrics in llm-crawler-benchmarks: speed, extraction, retrieval MRR, cost, and pipeline time: https://github.com/AIMLPM/markcrawl )
   - llm-crawler-benchmarks (benchmarking for open source webcrawlers: https://github.com/AIMLPM/llm-crawler-benchmarks)

   Everyone's showing you the weekend demo — "I built an app in one prompt, watch." Over the last several months I've vibe-coded 500K+ lines across four apps and two open-source libraries and several private libraries. The marketing narrative and the operational reality are very different things, and nobody is talking about the second one.

   This session is a field report on what actually breaks at scale — and what I had to build around each problem to keep shipping.

   What we'll cover together:

   • Context management. What it looks like at 50K lines vs. 500K with multiple projects, and when you… more

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6. Story first: Why product strategy needs a destination before a problem

   Most product teams start with a problem statement. But a problem statement tells little about the bigger picture—

   This session introduces a different starting point: the story outcome — a precise description of what must be true about a person's situation after your product works, that isn't true now. The session invites us to anchor strategy to a wider lens on the product use and user.

   To make this concrete, we'll work through a hypothetical case study in AI-assisted radiology. We explore how a story outcome lens can inspire a different kind of user inquiry — including something problem statements routinely obscure: whose problem it actually is, and whose story the product is really telling!

   Audience: Senior PMs, UX researchers, product strategists.

   Speaker: Malahat Hosseini is a product designer with 15+ years designing for healthcare products. She has worked at McKesson, Telus Health and Microsoft health and life sciences.

   Most product teams start with a problem statement. But a problem statement tells little about the bigger picture—

   This session introduces a different starting point: the story outcome — a precise description of what must be true about a person's situation after your product works, that isn't true now. The session invites us to anchor strategy to a wider lens on the product use and user.

   To make this concrete, we'll work through a hypothetical case study in AI-assisted radiology. We explore how a story outcome lens can inspire a different kind of user inquiry — including something problem statements… more

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7. Breaking Into Product: Lessons from 50 Real Transitions into Product Management

   When you look closely at how people actually transition into a PM role, the paths vary widely: Associate PM programs, MBAs, internal transfers, or moving from adjacent roles like engineering, project management, or customer success.

   After speaking with 50 people who moved into product, one thing stood out: while their backgrounds were different, the behaviours that helped them break in were consistent.

   This session explores those patterns:

   • Where people came from before becoming PMs
   • Whether product was their first role or a transition later in their career
   • What kinds of companies enabled their first PM opportunity
   • How long it typically took to make the shift

   More importantly, the focus will be on what actually moved the needle.

   I’ll also share my own journey from customer support to product leadership, and how working across GTM and engineering, solving problems, and increasing cross-team leverage led to product ownership.

   This session is designed for anyone trying to break into product from a non-traditional path, or looking to better understand what it actually takes to make that transition.

   When you look closely at how people actually transition into a PM role, the paths vary widely: Associate PM programs, MBAs, internal transfers, or moving from adjacent roles like engineering, project management, or customer success.

   After speaking with 50 people who moved into product, one thing stood out: while their backgrounds were different, the behaviours that helped them break in were consistent.

   This session explores those patterns:

   • Where people came from before becoming PMs
   • Whether product was their first role or a transition later in their career
   • What kinds of companies enabled their first PM opportunity
   • How long it typically… more
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8. I Make Purple Kool-Aid, but I Don't Drink It - Lessons from the Trenches of Healthcare AI: Promise, Pitfalls, and Progress

   "People should stop training radiologists now. It’s just completely obvious that within 5 years deep learning is going to do better than radiologists… It might be 10 years, but we’ve got plenty of radiologists already.” -Geoffrey Hinton (Presentation to the American Association of Physicists in Medicine - Oct 2016)

   “I consider autonomous driving to be a basically solved problem… We’re less than two years away from complete autonomy.” -Elon Musk (Time Magazine/Code Conference 2016)

   Yet here we are in 2026, radiologists still driving their Tesla to the hospital.

   This talk presents an overview of how AI is being used in healthcare and honest perspective of what is real, what is hype and where AI is going.

   • What are the high value use cases for AI in medical imaging?
   • What's hype and what's real - when is AI going to replace radiologists? What are the challenges limiting progress?
   • Talk nerdy to me: how a training and inference pipeline is created, from acquiring and pre-processing data, model architectures and clinical deployment
   • Quality, risk and regulatory considerations when AI is involved in life and death decisions
   • Trends - Agentic AI and foundation models - so hot right now
   • Local eco-system - what companies in the lower mainland are doing: e.g. Clarius, mlHealth, Synthesis Health and others
   • Why AI companies are their own worst enemies

   All this framed in the context of how to apply fundamental principles of product management:
   *What problem(s) are you solving and for whom?
   *Follow the money - i.e. get your business model right
   *Measuring the right KPIs
   *Misalignment of incentives - why is it so hard to enact change in healthcare?
   *Getting Beyond User Personas - buyers, influencers, procurement etc.
   *From prototype to retirement - the Technology Adoption Life Cycle (tipping my hat to Geoffrey Moore)

   Bio: Brian has spent 30 years developing enterprise scale software for healthcare, developing medical imaging and electronic medical record systems for Fortune 500 companies, startups and healthcare providers, most recently senior product manager at mlHealth 360, a Surrey-based startup developing AI algorithms for analyzing medical images.

   "People should stop training radiologists now. It’s just completely obvious that within 5 years deep learning is going to do better than radiologists… It might be 10 years, but we’ve got plenty of radiologists already.” -Geoffrey Hinton (Presentation to the American Association of Physicists in Medicine - Oct 2016)

   “I consider autonomous driving to be a basically solved problem… We’re less than two years away from complete autonomy.” -Elon Musk (Time Magazine/Code Conference 2016)

   Yet here we are in 2026, radiologists still driving their Tesla to the hospital.

   This talk presents an overview of how AI is being used in… more

   5 votes

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9. Don't Bury the Lede - Getting to the point clearly

   Don’t Bury the Lede - Getting to the point clearly

   Product Manager’s are expected to communicate clearly and precisely to get buy-in and motivate people yet, far too often, this doesn’t happen. Why is that?

   This session teaches you how to communicate successfully whether by spoken or written words. It’ll help you identify what the most important message is using the Pyramid Methodology and lead with it when communicating with others while providing the relevant facts in concise ways. The goal is clearer thinking, faster decisions, and better collaborations, not only better slides or presentations.

   You will practice this skill using common work situations like status updates, meetings, and written summaries.

   You will learn how to:
   * Find the most important message
   * Put that message first
   * Prioritise relevant content
   * Cut extra background and detail
   * Make your work easier for others to understand and use

   About the Speaker: Eric Bin is a 25 year veteran of the tech industry with leadership roles at companies like Amazon, eBay, and Clio under his belt. Today he’s a career and leadership coach that helps mid-career professionals navigate the workplace by improving their craft, growing their leadership, and getting clarity on their careers.

   Don’t Bury the Lede - Getting to the point clearly

   Product Manager’s are expected to communicate clearly and precisely to get buy-in and motivate people yet, far too often, this doesn’t happen. Why is that?

   This session teaches you how to communicate successfully whether by spoken or written words. It’ll help you identify what the most important message is using the Pyramid Methodology and lead with it when communicating with others while providing the relevant facts in concise ways. The goal is clearer thinking, faster decisions, and better collaborations, not only better slides or presentations.

   You will practice this skill… more

   13 votes

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