Speed-up AI PM workflows with reusable skills
Today's curated insights on AI product management from 100+ sources across X, LinkedIn, and YouTube.
Speed-up AI PM workflows with reusable skills
From X
AI Product Launches & Updates
Quality-of-life upgrades to Google AI Studio dashboards: Logan Kilpatrick @OfficialLoganK shipped new features including API success rate visibility, Gemini embedding model usage, zoom on specific days, and a new graph design.
Reachy Mini showcased at CES26: Clement Delangue @ClementDelangue highlighted Jensen Huang demonstrating Reachy Mini paired with DGX Spark & Brev for a local home AI robotics setup.
AI Tools & Applications
ChatGPT usage in healthcare: OpenAI @OpenAI noted that millions use ChatGPT daily for breaking down medical information, preparing questions for doctor appointments, and managing overall wellbeing.
AI for job seekers: Claire Vo @clairevo shared ideas using @meetgranola for interview transcripts and coaching notes, and @claudeai for writing personalized outreach emails and follow-ups.
Product Management Insights & Strategies
Focus on three goals: Lenny Rachitsky @lennysan advised that no company needs more than three goals, citing Facebook’s use of metrics—MAUs, engagement, revenue—to drive clarity and success.
AI-native CEO playbook: Claire Vo @clairevo announced “How I AI: Episode 44” featuring Zapier CEO @wadefoster, who discussed how to reverse engineer company culture and build a personal AI stack.
Junior vs Senior PM interview tips: George Nurijanian @nurijanian shared that senior PM interviews focus on actual product outcomes, advising candidates to clearly explain the last product shipped and the user needs addressed.
AI Industry Developments & News
Rise of Agent Harnesses: Philipp Schmid @_philschmid predicted 2026 to be the year of “Agent Harnesses”, the infrastructure layer managing long-running tasks around AI models beyond frameworks.
DeepMind partners with Boston Dynamics: Google DeepMind @GoogleDeepMind announced a research partnership combining its Gemini Robotics foundational models with Boston Dynamics’ Atlas® humanoids to advance AI in the physical world.
From LinkedIn • Deeper Insights
AI Tools & Applications
Speed-up AI workflows with reusable skills: As Udi Menkes explains, you can skip building AI agents from scratch by leveraging open-source Claude Skills repositories. In his example, he wired up docx, pptx and xlsx skills to brand guidelines and created a “skill-creator” to package any agentic process—like converting customer interview transcripts into structured summaries—into a reusable module. The takeaway: inherit, adapt and automate your core PM tasks in hours, not days.
Low-code AI agents in RevOps: Chris Tveter showcases HubSpot’s Agent.ai—as built by CTO Dharmesh Shah—which lets you design and deploy internal AI agents without a data-science team or deep coding. In under a weekend, he created assistants for pipeline hygiene, RevOps decisioning and admin reduction. For PMs, it’s a blueprint for embedding practical, secure AI across operations functions.
Product Management Insights & Strategies
A PM’s playbook for 2026 hiring: In “How to Get Hired in 2026,” Peter Yang lays out a five-step strategy: target 3–5 aligned companies, identify hiring managers, showcase proof of work via live projects, create a friction log based on real user feedback, and send a concise DM with your deliverables. PMs can mirror this structured, research-backed approach both for career growth and internal proposal pitches.
Prompt-driven security and performance audits: Paweł Huryn warns that coding agents alone aren’t enough for safe AI products. He provides ready-to-use prompts to audit authentication, authorization, permissions (via OWASP Top 10) and performance (caching, indexing, parallel queries). His framework reminds PMs to pair AI tools with disciplined architectural reviews to surface risks and trade-offs early.
AI Industry Developments & News
Curated sources to anticipate AI features: Non-engineer PMs can stay ahead by curating their inbox. Tal Raviv recommends subscribing to Anthropic’s blog, Claude developer docs, Surge, HumanLayer, PromptLayer and Amp, plus newsletters like Hacker News digests and Ben Tossell’s updates. The goal: anticipate new model and API capabilities before they hit your roadmap.
From YouTube
Watch me use AI to make millions in ecommerce
Greg Isenberg • January 05, 2026
Greg Isenberg demonstrates Alibaba’s new AI agent platform Axio, walking through how it uses trend data to generate product ideas and designs, pinpoints rising niches, matches them with verified suppliers, and automates outreach to speed up launching a multi-million dollar e-commerce business.
Key Takeaways:
- Axio integrates with Amazon trend data to identify hot product categories—like smart baby monitors and convertible cribs—providing market analysis and visual design mockups for each concept.
- Its AI agents scrape customer reviews, forums, and Q&A to extract and rank top unmet pain points—such as mechanical keyboard reliability issues—clustered by theme and quantified by urgency and willingness to pay.
- Axio matches product concepts with verified Alibaba manufacturers, detailing per-unit costs (e.g., $6.71 per hoodie with 2–300% margins), minimum order quantities, certifications, and can auto-generate professional inquiry emails with technical specifications.
Zapier's CEO shares his personal AI stack | Wade Foster
How I AI Podcast • January 05, 2026
Wade Foster demonstrates how he embeds AI into Zapier’s culture and recruiting via Granola transcripts to map unspoken values, Zapier Agents to automate interview evaluations, and Grok to uncover niche talent on social platforms.
Key Takeaways:
- Using Granola’s “build the unspoken company culture handbook” recipe on his meeting transcripts, Foster extracts a detailed culture guide that feeds into job descriptions, performance rubrics, and hiring criteria.
- He configures a Zapier Agent triggered by new Granola interview transcripts, which cross-references the job description and Zapier values to email him a yes/no/maybe hiring recommendation with 3–5 sentence reasoning.
- Foster leverages Grok to source “diamonds in the rough” by prompting it to find social media and YouTube posters with modest followings around no-code, automation, and Zapier topics, surfacing candidates beyond LinkedIn.