Insights on product, AI & what comes next.
39 articles
Discover how the latest 'Dreaming of Claude' feature enhances user interaction and creativity with AI.
Read article →Romain Huet's revelation about GPT-5.5 merging Codex with the main model signals a paradigm shift in agentic coding. Product builders need to understand how this convergence will fundamentally reshape development workflows, tooling strategies, and the economics of building software.
Read article →GPT-5.5 introduces unprecedented reasoning capabilities that fundamentally change how AI handles complex, multi-step problems. Here's what product builders need to know about this breakthrough and how to leverage it in production.
Read article →Cat Wu, Head of Product at Claude Code, reveals how Anthropic rewrote the PM playbook to ship AI products at unprecedented speed. Learn why traditional strategy frameworks fail in AI and what replaces them.
Read article →An honest assessment of Claude Design's real capabilities versus traditional design tools. Product builders need to understand where AI-native design tools excel and where pixel-perfect interfaces still require human craft.
Read article →Meta's decision to capture employee mouse movements and keystrokes for AI training reveals a fundamental tension in modern product development: the collision between innovation velocity and workplace trust. Here's what product leaders need to understand.
Read article →Former Meta and Google PM leader Nikhyl Singhal warns that 50% of product managers may become obsolete. Here's what's changing, who survives, and the new playbook for thriving in the AI-native era.
Read article →The future of personal AI isn't another chat interface—it's headless services that work invisibly across your entire digital life. Here's how product managers should be building for the post-interface era.
Read article →An authoritative analysis of key visual data representations defining AI's 2026 landscape, with actionable insights for product managers and builders navigating compute economics, capability plateaus, and emerging market dynamics.
Read article →An in-depth analysis of the system prompt evolution from Claude Opus 4.6 to 4.7, revealing critical insights for AI product managers on model behavior, safety guardrails, and practical implications for production deployments.
Read article →Discover how the new ChatGPT 2 Image feature is revolutionizing the way we interact with AI, offering enhanced visual capabilities and creative possibilities.
Read article →AI capabilities are exploding, but what about costs? This deep dive examines whether AI agent expenses are following Moore's Law in reverse—and what product builders need to know about long-term budgeting in an era of exponential capability growth.
Read article →A practical guide for product builders and small teams on leveraging Claude AI to create and maintain a consistent design system that accelerates development without requiring dedicated design resources.
Read article →An authoritative analysis of Claude 4.7's tokenizer efficiency and cost implications for AI product builders. Learn how token economics impact your bottom line and how to optimize for profitability.
Read article →Anthropic's Claude Opus 4.7 represents a masterclass in systematic advancement—one step better in every dimension. For product builders, understanding how to leverage these incremental improvements separates market leaders from followers.
Read article →Keith Rabois delivered uncomfortable truths about AI product development that most founders are ignoring. Here's what's actually changing in product management, customer behavior, and competitive dynamics—and what you need to do differently.
Read article →An exclusive deep dive into Notion's radical AI transformation—from rebuilding core features five times to deploying 100+ internal tools. Discover how Simon Last and Sarah Sachs are pioneering MCP over traditional CLIs and what it means for the future of software development.
Read article →Your first week as an AI Product Manager isn't about memorizing documentation—it's about validating assumptions that will define your product's trajectory. Here's the systematic framework I use to separate signal from noise in those critical first seven days.
Read article →General-purpose LLMs are hitting their ceiling in specialized domains. GPT-Rosalind represents a paradigm shift in how we build AI for life sciences—and a blueprint for vertical AI product strategy across every technical field.
Read article →We needed address data for hundreds of thousands of SME prospects. Instead of buying enriched data, we built a scraper — and vibe-coded the whole thing with Claude Code in a weekend.
Read article →The Lean Canvas was revolutionary in 2010. But a static, fill-once document can't keep up with today's markets. The Strategic Canvas Agent turns your canvas into a living, AI-monitored strategy system.
Read article →The Discovery Research Assistant automates interview guides, transcription, pattern recognition, and insight synthesis — cutting your research-to-decision time by 50%.
Read article →Your team doesn't need more meetings. It needs better handoffs. Learn how the Cross-Functional Sync Agent eliminates communication gaps between product, engineering, design, and marketing.
Read article →Are you measuring what matters? The Metrics & North Star Advisor uses causal analysis and predictive forecasting to ensure your product decisions actually move the metrics that count.
Read article →Exploring the Double Diamond design process framework to ensure product development focuses on solving the right problems before building solutions.
Read article →Static roadmaps pretend the future is predictable. Adaptive roadmaps acknowledge uncertainty and respond automatically. Here's why your roadmap needs to become self-updating.
Read article →Explore the transformative impact of Gemini 3.1 on vibe coding, enhancing creativity and efficiency in coding projects.
Read article →Manual RICE scoring is slow, biased, and disconnected from reality. The Autonomous Prioritization Engine uses real-time data, multi-framework analysis, and outcome tracking to fix product prioritization for good.
Read article →The Intelligent PRD Co-Pilot turns meeting notes, Slack threads, and research docs into comprehensive product requirements documents. Here's how it works — and why you'll never write one from scratch again.
Read article →Your team collects thousands of feedback datapoints every month. Here's how AI-powered feedback intelligence transforms that noise into decisions that actually move the needle.
Read article →Product ownership has changed. Manual roadmaps, static personas, and gut-feel prioritization can't keep up. Here's how an AI-powered toolkit transforms every part of the PO workflow.
Read article →70% of project delays are stakeholder-related. Learn how AI-powered stakeholder mapping discovers hidden influencers, predicts opposition, and optimizes your engagement strategy.
Read article →De eigenschappen, vaardigheden en mindset die een goede Product Owner onderscheiden. Van technische expertise tot soft skills en strategisch denken.
Read article →A detailed case study of how AI-driven personalization and funnel optimization led to a 93% conversion rate improvement and over €400K in revenue growth.
Read article →Your personas are probably wrong. Learn how AI transforms static research documents into dynamic, always-current user profiles that actually drive product decisions.
Read article →Stop presenting one-size-fits-all roadmaps. Here are six visualization formats — from Metro Maps to OKR Grids — that speak your stakeholders' language and get the 'yes' you need.
Read article →A systematic approach to product management that eliminates clutter and focuses on high-impact results. Learn how this framework delivered a 93% conversion boost.
Read article →Navigating the complexities of AI projects with non-technical stakeholders requires clarity, communication, and empathy. Learn strategies to bridge the gap between technical realities and business goals.
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