gen ai
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
-

From Brain Dump to Done: How Todoist’s Ramble Captures Tasks in Real Time with AI
Ramble turns stream-of-consciousness voice notes into structured tasks in real time by skipping transcription and using a Gemini live audio model. The Doist team pairs instant…
-

Never Lose Your AI Superpowers: How I Sync Context and Skills Across Every Device
Sharing AI context files and skills across devices—and with teammates—shouldn’t be painful. In this first-person walkthrough, I break down the real-world pitfalls I hit with Dropbox,…
-

Inside the Most Politically Dangerous C‑Suite Role: Hard Truths on Culture, Layoffs, and Leadership
Culture isn’t a perk—it’s a product. In this first-person reflection on the most politically charged seat in the C‑suite, I share why HR must think like…
-

Beat AI FOMO: A Product Leader’s Playbook to Choose Tools, Stay Focused, and Learn Deeply
New AI tools launch daily, and the pressure to try them all can derail real progress. In this reflection on a timely conversation with Petra Wille…
-

Inside Banani: How a Canvas-First AI Designer Elevates UX and Accelerates Product Teams
Banani’s canvas-first AI designer reframes how teams access high-quality UX by generating design—not just code. I break down how the team handles parallel edits, per-screen context…
-

Bad Advice from Your AI Clone? Ethics, IP, and How Product Leaders Protect Quality
AI “clones” can sound like you while giving advice you’d never give. In this analysis, I unpack the ethics, IP risks, and product-quality pitfalls of building…
-

From Resolutions to Outcomes: How We Price AI Agents Fairly and Amplify Customer Value
AI pricing should align with real, measurable value. Resolutions were a great starting point, but as Fin now handles complex, multi-step, and human-in-the-loop workflows, success is…
-

Ship MVPs in Days, Not Months: My Proven Prompt Prototyping Playbook for Product Teams
Most MVPs fail because teams validate too slowly and ship on assumptions. I use a prototyping prompts playbook to turn ideas into briefs, flows, and test…
-

Stop Selling Your Roadmap: Win Stakeholder Trust by Showing Your Work, Not Conclusions
Racing to ship AI features is easy; shipping the right ones isn’t. In this playbook, I share how I win stakeholder trust by showing my work—walking…
-

From Tickets to Strategy: How AI Is Rewriting Support Careers—and Why Now Is the Moment
AI is reshaping support from the ground up, shifting work from ticket handling to strategic system improvement. Teams report updated job descriptions, more time spent training…
-

How Deep AI Transforms Support Into Proactive, Omnichannel CX—No Extra Headcount Needed
AI is finally giving support teams the “breathing room” to focus on customer experience instead of firefighting. In 2026, investment is shifting toward omnichannel consistency so…
-

AI-Powered Growth Loops: Transform Your PLG Product into a Self-Optimizing Engine
AI is reshaping product-led growth from static funnels into adaptive, compounding growth loops. I outline a practical blueprint: unify behavioral data, personalize in-app guidance with gen…
-

Inside Product at Heart 2026: Bold Single-Track Vision, AI Everywhere, Deeper Connections
Product at Heart 2026 is making a bold shift to a single-track format—prioritizing tighter curation, shared context, and deeper learning. Petra Wille and Teresa Torres outline…
-

How I Harness AI to Supercharge Product Discovery for Faster Research, Prototyping, and Validation
AI has become my unfair advantage in product discovery, compressing weeks of research, prototyping, and validation into days. I synthesize interviews with LLMs, layer in Amplitude…
-

How We Built an AI Career Co‑pilot that Turns Knowing into Doing for Disadvantaged Students
Disadvantaged students don’t just need answers—they need an orchestrated path from insight to action. I break down how Zero Gravity built an AI career co‑pilot that…
-

10 AI Business Models You Need Now: Proven Playbooks Turning Algorithms into Revenue
AI is no longer a feature—it’s a business model. In this guide, I break down ten proven models—API-first services, vertical copilots, agentic automation, copilot upsells, insights-as-a-service,…
-
2026 Support Capacity Playbook: Bold AI Automation, Smarter Staffing, Zero‑Surprise SLAs
AI is reshaping support capacity planning, and the old linear volume-to-headcount model no longer holds. I center plans on automation rate (AI Agent involvement rate ×…
-

AI in Product Design: My Proven Playbook, Real Use Cases, and the Tools That Win Faster
AI in product design has moved from novelty to necessity, and the fastest-moving teams are weaving it through discovery, prototyping, and validation. I share a practical…
-

From Concierge to AI Marketing Engine: Inside Mowie’s Document Hierarchy Playbook
SMBs don’t need a bigger team to market like pros—they need smarter systems. In this first-person breakdown, I unpack how Mowie evolved from a hands-on concierge…
-

Automated Insights for Product Teams: Uncover Causal ‘Aha’ Moments in Minutes, Not Weeks
Automated insights change the analytics game by surfacing causal patterns and “aha” moments in minutes, not weeks. Instead of manual, exhaustive searches, I get ranked hypotheses…
Weekly digest
One email a week on AI products, enablement and hiring. No fluff.
Browse topics
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
Work with me
45-minute consultation on AI product strategy, GTM and PM hiring — no charge.
