AI Guides for Product Managers
Verified and connected references for understanding agents, governing risk and improving product decisions.
AI Agents
Understand, build, evaluate and operate AI agents with clear goals and boundaries.
PILLAR GUIDEAI Agents: what they are, how they work and when to use themLearn how AI agents use tools, state, guardrails and evaluations, and decide when agentic systems make sense for products and operations.UPDATED 2026-07-22How to build AI agents: from outcome to operationsBuild AI agents with a practical method for outcomes, tools, context, safety, evaluations, staged launch and monitoring.UPDATED 2026-07-22AI agents with n8n: architecture and production checklistBuild AI agents with n8n using triggers, tools, optional memory, human approval, evaluations and explicit error handling.UPDATED 2026-07-22AI agent examples: use cases, metrics and risksExplore AI agent examples for product, support, operations and engineering, including tools, outcomes, metrics and risks.UPDATED 2026-07-22AI agent evaluation templateEvaluate AI agents for task completion, tools, safety, cost, latency, oversight and readiness to launch.
AI Governance
Turn responsible AI principles into operational decisions, controls and evidence.
PILLAR GUIDEAI governance: a practical guide for products and companiesImplement AI governance with inventory, risk classification, evaluations, human oversight, monitoring and incident response.UPDATED 2026-07-22AI governance checklist for products and organizationsAn AI governance checklist for discovery, data, evaluation, approval, launch, monitoring, incidents and retirement.UPDATED 2026-07-22AI risk matrix: classify impact and controlsClassify AI risk by impact, likelihood, scale, reversibility and contestability to set evaluation, approval and oversight.UPDATED 2026-07-22AI system inventory: template and essential fieldsCreate an AI inventory with purpose, owner, data, model, vendor, risk, evaluations, incidents and review dates.
Product Management
Connect strategy, discovery, delivery and metrics to the responsible use of artificial intelligence.
PILLAR GUIDEProduct Management: what it is, how it works and the PM roleUnderstand product management, strategy, discovery, prioritization, roadmaps, delivery, metrics and the Product Manager role.UPDATED 2026-07-22AI product management: strategy, discovery and metricsUse artificial intelligence in discovery, roadmaps and product operations while preserving evidence, context and human accountability.UPDATED 2026-07-22Artificial intelligence for Product Managers: a practical guideLearn how to evaluate opportunities, design experiences, measure quality and operate AI products without relying on hype.UPDATED 2026-07-22State of AI in Product Management 2026An author analysis of public sources on AI adoption, agents, productivity, governance and product management capabilities in 2026.