Insights
Management, operations and AI applied to business.
Practical articles for people who run a company: what an AI operating system is, how AI agents work together, how a company stops forgetting and where to start.
Company knowledgeWho owns what your team teaches the AI?AI used by each employee makes that person faster, not the company. How to turn your team's know-how into company skills, with contracts, authorship and privacy.Latest
ConceptsAI-first vs AI-native: what's the difference and what it means for your companyAI-first and AI-native sound alike but mean different things. The difference, the common mistakes and where to start.
FundamentalsWhat an AIOS is, your company's AI operating system, and why it isn't just another toolThe difference between everyone using AI on their own and your company running one system that ties together data, memory, rules, agents and approvals.
Getting startedWhere to start with AI in your company: diagnose before you buyBefore you sign up for another app, find where your company leaks time and money. A 6-step roadmap and a 30-day plan for owners.
AI agentsAI agent orchestration: how several agents work together without turning into chaosWhat an AI agent is, why one is not enough, and how to coordinate several with clear rules, human approval and a record of everything.
Company memoryA second brain for your business: getting knowledge out of people's headsHow to turn what only the owner and two or three key people know into company memory, using AI, sources and sensible data limits. Includes a one-week plan.
Real casesHow real companies put AI to work (and what you can copy)Klarna, Shopify, Duolingo, Morgan Stanley and iFood: what they did with AI, what worked, what backfired, and the lesson for a 10 to 200 person company.
MarketAI for business in 2026: what changed and what matters for decision-makersAgents, open protocols, falling prices, AI inside Microsoft 365 and Google Workspace, and new rules: the 6 shifts of 2026 and what to do next quarter.