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Best Practices

Top articles and case studies on how product teams apply AI in their day-to-day work

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638 PMs on AI transformation — product management survey

An empirical analysis of seven years of Lenny's Newsletter shows how AI is reshaping product management and what remains unchanged.

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Pinterest AI-first pivot — how AI built a 600M-user platform

A product management case study on Pinterest's AI-first pivot: visual search at 80B queries/month, Gen Z majority user base, and $1B quarterly revenue — through deliberate product choices.

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PM Agent OS — AI-powered product management operating system

How one PM built an AI agent system to automate competitive analysis, user research synthesis, and PRD drafting — a practical blueprint for agent-powered PM workflows.

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Replacing the PM toolkit with AI — practical guide

A working PM's honest account of which tools AI replaced, which it could not, and the specific workflows that improved — with concrete before/after comparisons.

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AI-augmented discovery toolkit for product teams

A practical walkthrough of how structured discovery artefacts and an AI copilot can connect user research directly to delivery.

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Solo product team with AI agents — one-developer case study

A solo developer's account of using AI agents as virtual team members across 43 sprints — covering planning, coding, testing, and retrospectives with measurable productivity data.

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Building an AI recommendation system — developer case study

Mind the Product case study on building an AI recommendation engine — covering problem discovery, model selection, user testing, and the iterative process of earning developer trust.

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Medium: Three ways product managers should evolve as AI handles more execution

An Instagram PM argues that as AI takes over execution work, judgment and strategic thinking become the skills that matter most for PMs.

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Calendly AI platform strategy — product management case study

How Calendly treats AI as infrastructure rather than features — enabling the team to ship AI-powered products at high velocity by building shared AI services that any product team can use.

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Productside: The AI workflows every product manager needs in 2026

Productside outlines four AI integration patterns for PMs — persistent context, synthetic evaluation, agentic automation, and rapid prototyping.

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Medium: 6 AI workflows every product manager should be using

A practitioner's account of six concrete AI workflows that reduced iteration cost in day-to-day PM work, from HTML prototyping to AI-assisted strategy decks.

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JPMorgan Chase GenAI transformation — enterprise case study

How JPMorgan Chase became the definitive AI-first financial institution — from 2024's experimental phase to 2026's enterprise-wide deployment across trading, risk, and client services.

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HBR: To drive AI adoption, build your team's product management skills

Stanford researchers argue that durable AI adoption depends on PM discipline — defining problems, evaluating solutions, and iterating — not prompt engineering alone.

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Medium: What AI-native product management actually changed in 2026

An analysis of how AI tools shifted PM workflows in practice — what accelerated, what stayed the same, and what new bottlenecks emerged.

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Productboard Spark — lessons from building AI products

Ravi Mehta and the Productboard team share hard-won lessons on AI product development — guiding vs. automating users, AI quality as a 'third dimension', and iterating beyond traditional timelines.

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AI product strategy guide 2026 — planning and budgeting

Mind the Product's complete guide to AI product strategy — covering budgeting, build-vs-buy decisions, team structure, and how to evaluate AI opportunities without overspending.

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Reckitt AI for revenue growth — enterprise case study

McKinsey case study on how Reckitt, a global consumer health company, deployed AI across pricing, promotion, and assortment decisions — with measurable revenue impact.

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Medium: How product management is changing in 2026

Ant Murphy draws on six industry reports to identify which PM skills matter most as AI takes over more execution work in 2026.