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Claude Code for Non-Technical Professionals: A Safe Start
A practical, low-risk way to use Claude Code for file-based product work, with a bounded first project, review gates, and reusable prompts.
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Reliable AI Coding Requires Four Kinds of Control
A practical framework for controlling requirements, context, verification, permissions, and recovery when teams build software with AI agents.
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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…
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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,…
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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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5 powerful ways I use Pendo MCP to bring product analytics into ChatGPT, Claude, and Cursor
Pendo MCP brings product analytics directly into Claude, ChatGPT, and Cursor, so insights follow me wherever I work. I can triage anomalies, prep discovery with behavioral…
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Agentic Architecture Demystified: How Modern AI Systems Plan, Learn, and Execute at Scale
Modern AI isn’t just a model; it’s an agentic system that plans, retrieves, acts, and evaluates in a tight loop. In this piece, I break down…
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Multi‑Agent Systems Demystified: Why One AI Isn’t Enough—and How I Ship Faster With Many
Multi-agent systems turn a single clever model into a reliable product engine by coordinating specialized agents—planner, executor, and verifier—inside robust AI workflows. I use a retrieval-first…
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How to Build an AI-Native Product Development Workflow
A practical operating model for connecting customer evidence, product decisions, context engineering, evaluation, and delivery in one learning loop.
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AI Agent Deployment Mastery: My Proven Checklist to Ship Safely, Faster, and at Scale
AI agents demand a higher bar for safety, observability, and measurable outcomes. In this first-person playbook, I share the proven checklist I use to deploy agentic…
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Build Your Personal Operating System with Claude Code: A Playbook for Focus, Speed, Clarity
A personal operating system turns scattered inputs into decisive action, and Claude Code is the catalyst I use to make it real. In this playbook, I…
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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…
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AI Context Engineering: A Practical System for Product Teams
Learn to build small, traceable context packs that help product teams use AI for discovery, prioritization, and execution with less rework.
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Structured Prompting for an AI Resume Coach You Can Trust
Build a grounded AI resume coach with a three-layer prompt, evidence-linked feedback, safe rewrites, retrieval, and product-grade evaluation.
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How to Structure Prompts for a Reliable AI Resume Coach
A practical prompt architecture for building an AI resume coach that stays grounded in evidence, rewrites consistently, and can be tested before release.
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Context-Driven AI Product Engineering That Survives Production
Learn how to design context contracts, retrieval pipelines, evaluations, and ownership so an AI feature stays grounded and useful in production.
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Beyond Accuracy: The Trust-First Evaluation Metrics I Use to Scale High-Impact AI Products
Trust—not accuracy—determines whether AI features earn adoption, retention, and long-term impact. In this piece, I share the layered metrics I use to evaluate model quality and…
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How I Use ChatGPT to Supercharge Product Management: Workflows, Prompts, and PM Playbooks
ChatGPT has become a practical force multiplier in my product workflows, from discovery and strategy to delivery and growth. I use it to synthesize interviews, clarify…
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High-Quality Data, High-Velocity AI: My Product Playbook for Governance, Trust, and Scale
High-quality data is the fastest path to real AI impact. I outline how data contracts, privacy-by-design, and a unified analytics platform create the foundation for trustworthy,…
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How I Use ChatGPT to Supercharge PM: Smart Workflows, Killer Prompts, and Real-World Wins
ChatGPT has become a quiet force multiplier in my product leadership—accelerating discovery, clarifying roadmaps, and sharpening stakeholder communication. I use it to draft PRDs, structure A/B…
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