Stay ahead in AI product design. Every session from our AI design summits, on demand.
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Access 25+ sessions from the people shipping AI products at top teams.
Track 1
Crafted with Claude Code
Joey Primiani, LinkedIn
Compress the Double Diamond into a 5-minute sprint using Claude Code, plan.md files, and live storybook component integration.
Cheap Prototypes, Expensive Decisions
Mudit Mittal, Databricks
Why AI makes prototyping cheap, and how design judgment, intentionality and trust metrics become the ultimate enterprise moat.
Generating Design Deliverables Beyond Pixels
Yuchi Ma, Meta
How to build design taste files, extract design systems via Claude Code, and translate system tokens directly into Figma Make.
PM with Gemini & Live Vibe Coding
Ross Hobbie, Google
Step-by-step walkthrough of taking screenshots, generating clickable prototypes in AI Studio, and deploying apps with Firebase.
Beyond the Demo Path
Roman Bercot, ServiceNow
Most AI design covers the run where the model nails it. Opening with an undetectable hallucination in a clinical note, this covers naming what broke, keeping the user's work, and designing the edit and doubt states.
Track 2
GenAI in Action: Practical Ways to Enhance Workflow
Risa Hiyama, Netflix
Inside Netflix's AI design workflow: synthesizing complex memos with NotebookLM, building custom GPTs, and refining Figma Make prompts.
AI Fluency & Meta-Prompting
Stefan Klocek, HubSpot
How to build custom GPT tools to evaluate information architecture, run prompt-divergence tests, and vibe code micro-interactions.
Capture, Synthesis, and Routing Workflows
Halim Madi, Mistral AI
Step-by-step setup for Granola-to-Gmail Zapier automations, OCR text capture, and synthesis workflows that route output into drafts and next actions.
Building Your Own PM Tools in AI Studio
Priyanka Malkan, Google Search Discover
Advanced Google Sheets formulas with Gemini, real-time meeting synthesis, and building custom executive communication apps.
AI for Faster, Sharper User Research
Anna Priscilla de Albuquerque, Google Cloud
Accelerating research synthesis, extracting key customer sentiments, and analyzing qualitative data using AI and LLM pipelines.
Unleash Your Design Superpowers
Kumar Mayank, Google
Navigating the shift from pixel creator to experience director across the entire design thinking process.
Track 3
JTBD for Evaluating AI Investment
Audrey Bryson, Indeed
How to use Jobs-to-be-Done, capability scoring and criticality metrics to decide whether to build, buy or deprecate AI features.
DesignOps in the AI Age
Ryan Hallak, Krumware
Implementing the AI Adoption Matrix to systematically evaluate, pilot and integrate new AI tools without team burnout.
AI-Native UX & Inversion of Intelligence
Sönke Rohde, Google Cloud AI
Moving from tactical chat interfaces to operational CLIs and strategic Kanban orchestration across autonomous agents.
Design Integrity and the Infinite Game
Vax Liu, Meta
Maintaining craft, quality and principle-driven vision when short-term metrics push for fragmented AI feature bloat.
AI-Assisted Search & Discovery
Rishma Mendhekar, Crunchbase
Designing intuitive, trustworthy search and discovery experiences backed by large-scale data and LLMs.
Why SMBs Can't Ignore How AI Is Changing UX
Ary Aranguiz, Future-Ready AI Group
Strategic implications of AI adoption for mid-market and small business product ecosystems.
Measuring Magic, Designing for Trust
Jill Corral, Amazon Alexa AI
Measuring user trust, multi-modal interaction friction, and system transparency in voice and AI agents.
Track 4
Designing With AI: Pairing With a Confident Intern
Adil Dhanani, Slack
Establishing confidence levels, first-class undos, and human accountability when collaborating with agentic AI teammates.
From Pixels to Presence: Evolving Design for Invisible UX
Kelly Dern, SoFi
Masterclass on AI presence patterns: invoking, listening, reasoning, tethering, and building custom evaluation benchmarks.
Storytelling with Data for AI Dashboards
Akanksha Bansal, AWS
Transforming dense agentic data into intuitive dashboards using progressive disclosure, clustered metrics, visual hierarchy and considered error states.
Designing the Invisible
Randall Stillwell, Trimble
Crafting ambient, frictionless experiences where AI acts silently in the background, and what a design system means with no visual UI.
Customers in Crisis: Conversational AI as a Confessional
Jackson Mystkowski, SoFi
People tell AI things they will not tell a person. How to notice distress, what response latency communicates, and why phrases that comfort one culture quietly invalidate another.
Designing AI for Good: Turning Fear into Freedom
Alex J. Woo, Netflix
Real projects where AI restored independence and access, from speech recognition for atypical voices to navigation for blind users and crop yields for farmers in Malawi.
Traps and Mirrors: AI and a Brain That Won't Wait
Dan Littlewood, Microsoft Teams
A personal toolkit for working with neurodivergence, and the case that AI cannot replace human connection but can absorb enough cognitive overhead to make more room for it.
Storytelling with the Four C's
Eric Dorf, Google
A storytelling framework for UX, walked through a real product for parents, covering customisation, alerts, escalation, and surfacing AI insight without overwhelming the user.
I felt excitement about the possibilities of AI and design vs my former feeling of existential dread.

Jana Kleitsch
Tech Matters
Reframed my perspective to 'How can I use AI to improve my work?' with tangible takeaways.

Andrew Haglund
John Deere
Genuinely informative and fun. I'd recommend this to other designers.

Jessica D.
ChilliPharm
100% guaranteed. If you don't love it, get a full refund within 7 days. No questions asked.