Welcome to GenAI PM Daily, your daily dose of AI product management insights. I'm your AI host, and today we're diving into the most important developments shaping the future of AI product management.
On the product front, Google AI Studio rolled out quality-of-life upgrades to its dashboards, adding API success-rate visibility, model usage tracking for Gemini embeddings, the ability to zoom in on specific dates, and a fresh graph design.
At CES26, Reachy Mini took center stage as Nvidia’s Jensen Huang demonstrated the compact humanoid paired with DGX Spark and Brev for a fully local home AI robotics setup.
In related developments, OpenAI reported millions of daily users turning to ChatGPT in healthcare to break down medical information, prepare questions for doctor appointments, and manage overall wellbeing.
Meanwhile, Claire Vo shared ideas for job seekers using Granola to produce interview transcripts and coaching notes, alongside Claude AI to write personalized outreach emails and follow-ups.
On strategy, Lenny Rachitsky advised that no company needs more than three goals—just as Facebook focuses on monthly active users, engagement, and revenue—to maintain clarity and drive success.
Another key update comes from Claire Vo’s “How I AI” podcast, where Zapier CEO Wade Foster explained how to reverse-engineer company culture and build a personal AI stack.
Separately, George Nurijanian noted that senior product management interviews concentrate on actual outcomes, so candidates should clearly explain the last product they shipped and the user needs it addressed.
Looking ahead, Philipp Schmid predicts 2026 will be the year of “Agent Harnesses,” an infrastructure layer for managing long-running tasks around AI models beyond today’s frameworks.
In more industry news, DeepMind announced a research partnership with Boston Dynamics to combine Gemini Robotics foundation models with Atlas humanoids, advancing AI applications in the physical world.
Speeding up workflows, Udi Menkes demonstrated how open-source Claude Skills let you skip building agents from scratch. By wiring document, presentation, and spreadsheet skills into brand guidelines, he packaged any process—like converting interview transcripts into structured summaries—in hours, not days.
On a different front, HubSpot’s Agent.ai platform, built by CTO Dharmesh Shah, makes it possible to design and deploy internal AI agents without a data-science team. In under a weekend, teams spun up assistants for pipeline hygiene, RevOps decisioning, and admin reduction.
For product managers eyeing their next role, Peter Yang outlined a five-step hiring playbook for 2026: target three to five aligned companies, identify hiring managers, showcase proof via live projects, build a friction log from real user feedback, and send concise direct messages with your deliverables.
Security and performance audits are next. Pawel Huryn provided prompt-driven frameworks to test authentication, authorization, and permissions against the OWASP Top 10, plus prompts for evaluating caching, indexing, and parallel queries.
To stay ahead of new AI features, Tal Raviv recommends curating sources like Anthropic’s blog, Claude developer documentation, Surge, HumanLayer, PromptLayer, Amp, and newsletters such as Hacker News digests and Ben Tossell’s updates.
In e-commerce, Greg Isenberg showcased Alibaba’s Axio platform, which taps Amazon trend data to spot rising product categories, generates market analysis and mockups, scrapes reviews to rank unmet pain points, matches concepts with verified manufacturers, and auto-generates inquiry emails complete with cost, minimum order quantities, and certifications.
Finally, back on “How I AI,” Wade Foster walked through Zapier’s internal AI stack: using Granola to build an unspoken culture handbook from meeting transcripts, configuring a Zapier Agent to cross-reference new interview notes with job descriptions and values for hiring recommendations, and leveraging Grok to unearth niche talent on social channels.
That's a wrap on today's GenAI PM Daily. Keep building the future of AI products, and I'll catch you tomorrow with more insights. Until then, stay curious!