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This article by Tony Beltramelli (Head of Product at Miro) argues that AI agents are rapidly becoming the primary users of software products, requiring a fundamental rethink of how PMs design, measure, and monetize their products. The piece traces the tipping point to early 2026 when autonomous desktop agents and advanced model releases moved AI from conversational tools to autonomous virtual colleagues. Beltramelli introduces Monthly Active Agents (MAA) as the new north-star metric, replacing traditional Monthly Active Users, and examines how the February 2026 'SaaS-pocalypse'—a $300 billion market value sell-off—exposed the vulnerability of per-seat licensing models when a single human can deploy hundreds of AI agents.
The article provides a practical framework for building 'agent-native' products, including designing MCP servers with clear, machine-readable function definitions that LLMs can understand natively, launching agent-ready connectors, and rethinking programmatic interfaces for LLM consumption rather than human navigation. For product managers, the key strategic insight is that the atomic unit of product engagement is shifting from human logins to programmatic actions, requiring new approaches to pricing, distribution, and product architecture.
Building on foundational concepts, this resource explores ai product strategy at a deeper level. It's designed for PMs who have some AI experience and want to develop more sophisticated skills.
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Go to uxdesign.ccThis article by Andrew Giffen argues that automated code generation fundamentally restructures software team composition. The core framework identifie...
This article presents a comprehensive framework for building AI products strategically, organized into five sequential phases. It emphasizes that AI p...
This article by Miqdad Jaffer (OpenAI's Product Lead) argues that traditional product-market fit frameworks are obsolete for AI companies. It introduc...