AI workflows
- AI Strategy (315)
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- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
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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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From Chaos to Clarity with Claude Code: My Hands-On Playbook for Product Leaders
I take you inside my hands-on system for turning Claude Code from a clever demo into a dependable teammate. You’ll see how I set up /init…
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Vibe Coding Unleashed: How Parallel Agents Build KPI Driver Trees in Under Two Hours
Parallel agents are transforming how I build analytics artifacts and make product decisions. By running specialized agents in parallel—metrics, data modeling, research synthesis, prototyping, and evaluation—I…
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How to Operationalize Amplitude AI Visibility Upgrades
A practical operating model for using Amplitude AI Visibility to speed segmentation and reporting without weakening governance or trust.
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How Product Leaders Turn AI Agents Into Adopted Workflows
A practical framework for choosing an agent workflow, defining safe autonomy, measuring real adoption, and scaling only when outcomes improve.
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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 to Scale AI Pilots Into Mature Production Systems
A practical operating model for turning promising AI pilots into governed, measurable workflows that improve safely and reliably in production.
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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…
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Agentic AI for Construction Tendering: A Product Playbook
A practical playbook for narrowing the tendering wedge, designing specialist agents, evaluating each decision, and earning safe autonomy.
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New Year, New Product Habits: AI Workflows, Coaching Culture, and Community in 2026
I’m starting 2026 with a practical reset of how I lead continuous discovery, integrate AI workflows, and scale coaching inside product teams. In this reflection, I…
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The Modern Playbook for AI Agents: Build One‑Person Departments and Scale with Amplitude
AI agents deliver outsized value when they’re treated as productized workflows tied to clear outcomes. In this guide, I share how to consolidate processes, create “one-person…
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AI Customer Service Transformation: An Operating Playbook
A practical playbook for choosing support work to automate, redesigning human roles and handoffs, governing quality, and proving durable business value.
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How to Design, Launch, and Govern an AI Agent Product
A practical playbook for scoping agent work, setting safe autonomy, measuring trusted outcomes, and earning adoption without losing accountability.
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How Product Leaders Turn AI Strategy Into an Operating System
A practical operating model for choosing AI bets, defining production readiness, assigning ownership, measuring adoption, and deciding when to scale.
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The New AI Playbook for Product Portfolio Optimization: Slash Complexity, Boost ROI
Product portfolio optimization isn’t a once-a-year exercise—it’s a living system. I use AI to turn noisy signals into clear decisions, aligning initiatives to outcomes vs output…
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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,…
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Monetizing AI with Confidence: Proven Models, Smart Pricing, and ROI You Can Defend
Turning AI features into sustainable revenue requires more than a great demo; it demands crisp packaging, pricing discipline, and visible customer outcomes. I outline practical models—add-ons,…
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A Practical AI Workflow for Product Manager Cover Letters
Use a repeatable AI workflow to turn a product role and verified career evidence into a concise, specific cover letter that still sounds like you.
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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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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 ×…
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Browse topics
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