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- AI Strategy (315)
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Claude Code for Product Managers: Accelerate Prototypes, Validate Faster, Ship with Confidence
Claude Code helps me turn ambiguous product ideas into testable prototypes, grounded analyses, and instrumented experiments in a fraction of the time. By pairing it with…
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Master Build-to-Learn: The Essential FAQ to Supercharge Product Discovery in the AI Era
In the age of AI, the fastest teams separate build to learn from build to earn. I use discovery to validate problems and value before committing…
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The AI PM One-Pager: Radical prototyping requirements for speed, clarity, and truth
A single one-pager can transform how AI product teams move from idea to insight. By prompting tools directly and defining eval-driven criteria up front, I cut…
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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…
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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…
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How to Run AI-Accelerated Product Discovery and Delivery
A practical model for using agents, analytics, prototypes, experiments, and guardrails to shorten product learning without weakening judgment.
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Build vs. Buy in an AI-First World: My Framework to De-Risk Decisions and Own Your Data
Build vs. buy shows up in every product organization, and AI is changing the calculus without eliminating the tradeoffs. In this first-person framework, I walk through…
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Building Physician‑Grade AI When Trust Is Everything: Inside Healio’s Proven Playbook
Physicians won’t trust AI until it proves itself. Here’s how Healio built a physician-grade assistant with RAG and hybrid search across trusted sources like PubMed, designed…
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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…
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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…
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From No-Code Hack to 10,000 Weekly Calls: Inside Perk’s Voice AI That Actually Works
A small Perk team turned a Make.com hackathon into a voice AI agent that makes 10,000+ weekly hotel verification calls—reducing failed virtual card payments and traveler…
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From Sketch to Clickable Demo: My AI Prototyping Playbook to Build Apps in Hours
I share a practical playbook for turning napkin sketches into clickable AI prototypes in hours. You’ll see how I frame outcomes and MDEs, generate UI quickly,…
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Prototypes vs Products: How I De-risk Ideas Fast and Ship Reliable Value at Scale
Too many teams confuse prototypes with products—and pay for it later. I use prototypes to learn fast and reduce risk, and I treat products as promises…
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AI-Era Product Experimentation: A Practical Operating Model
A practical system for turning faster AI-assisted shipping into trusted product decisions with decision contracts, dynamic MDEs, and layered evidence.
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Supercharge Your Engineering Org: Alignment, AI, and Productivity from Adobe to Etsy
Engineering speed is a function of alignment, not heroics. In this first-person breakdown, I unpack how modern engineering teams can scale productivity with outcomes vs output…
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Building Products in a Post-LLM World: Hard-Won Lessons, Skeptic Busters, and Team Playbooks
I break down how to build products in a post-LLM world with a pragmatic playbook you can put to work immediately. You’ll learn how Sprig’s journey…
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Goal-Setting for AI Products: How I Plan, Prioritize, and Confidently Ship in a Nonlinear GenAI World
Planning AI roadmaps is fundamentally different from traditional software. I share how I set outcomes-first OKRs, balance research and product development, and scale safely without over-planning.…
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Inside Bard’s Playbook: How to Ship AI Fast, Build Ethically, and Outlearn Competitors
Building AI products demands speed and responsibility. I unpack the Bard blueprint—how principled constraints, early public learning, and tight product theses enable rapid iteration without sacrificing…
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Inside Alyx: Dogfooding, Evals, and Observability That Power an Agentic AI Future
This is a pragmatic, first-hand look at how Alyx was built by dogfooding Arize’s own platform—moving from messy notebooks to a disciplined eval and observability stack.…
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The AI Support Blueprint: From Zero Playbook to 75% Resolution and a Reimagined Team
Rolling out an AI Agent doesn’t just change workflows—it reshapes the team itself. I share how we went from no playbook to a functional AI Support…
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- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
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