AI workflows
- AI Strategy (429)
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- Leadership (81)
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- Product Management Leadership (373)
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How to Build an AI-Native Go-to-Market Operating System
A practical blueprint for redesigning revenue workflows around AI agents, human handoffs, rigorous evals, shared CRM state, and clear ownership.
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Implementing AI Agents That Scale: My Playbook for One‑Person Departments with Amplitude
This playbook shows how to turn agentic AI from a promising demo into a dependable “one-person department” that owns real outcomes. I share how to map…
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An End-to-End AI Product Workflow From Discovery to Deployment
A practical workflow for turning customer evidence into a bounded AI use case, measurable evaluations, a guarded rollout, and a reliable production loop.
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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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Deeper AI Integration, Clearer ROI: How Mature Deployments Redefine Support Economics
AI can deliver quick efficiency wins, but the real ROI emerges when it is deeply integrated into support workflows. As deployments mature, teams move from tracking…
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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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Browse topics
- AI Strategy (429)
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