Technical & Tools

Why do customers churn despite green dashboards? Three layers determine retention: friction (anger), outcomes (indifference), resonance (loyalty).

AI accelerates shipping but not learning. Teams build faster without validating if they're solving the right customer problems.

Velocity isn't about shipping more features. It's about running faster learning loops that turn uncertainty into validated decisions.

Prototyping tools like Claude Code now serve both discovery and production, narrowing the gap between build-to-learn and build-to-earn.

Webflow's AI search data reveals why aggregate traffic is misleading and what product teams should measure instead.

Daily publishing needs a scalable taxonomy. Claude Code built mine in 45 minutes: 63 tags → 40, three tiers, full automation.

AI-assisted prototyping is reshaping collaboration across product, design, and engineering—accelerating discovery and demanding the best from each discipline.

Evals make AI products measurable. Traces, annotations, and layered tests turn evaluation into a practical loop for reliability.

Claude Sonnet 4.5 introduces usage tracking and thinking mode enhancements that streamline AI planning and session management.

How I built a scalable, AI-powered blog archive by learning GenAI coding constructs and focusing on product thinking, not syntax.

In the AI era, the strongest products don’t build walls — they build bridges. Here’s why connectivity, not isolation, defines modern defensibility.

AI feedback loops can lie. Learn why engagement metrics fail and how product managers can rebuild truth-centered measurement systems.

The rise of answer engine optimization (AEO) marks a shift from SEO. Visibility in AI-driven answers is now the key to discovery.

Cloudflare’s VibeSDK acts like a factory robot for apps. It turns plain language into live software while teams stay focused on customer value.

Intuition is a compass, metrics are a map. Here’s how product managers can decide which to trust, depending on the product stage.

A quick look at Answer Engine Optimization (AEO), why it matters for both consumers and businesses, and how it differs from SEO.

Metrics measure the present, but intuition imagines the future. Here’s why great product managers need both — and how to define intuition.

Claude now generates real files—Excel, Word, PowerPoint, and PDFs—from prompts.

APIs are not small. They are the backbone of digital growth and the foundation of agentic AI and MCP orchestration.

AI is moving fast in product management, from PRDs to prototypes. Here’s what research shows, what’s missing, and how PMs can lead.

Agentic AI can reason, but it needs APIs to act. APIs are the execution layer that makes AI autonomy real.

Fixed Google SEO indexing issues using ClaudeCode by adding canonicals, updating the sitemap, and cleaning redirects—no SEO expertise required.

Vibe-coding opens a new AI-build path, but Marty Cagan’s point on business rules shows its limits. Can AI ever capture this hidden and complex logic?

Vibe-coding is still early, but already empowers non-technical builders while pressuring SaaS vendors to deliver leverage beyond features.

Vibe-coding coolness

Practical tips to make OKRs work: writing strong objectives, measurable key results, and avoiding common pitfalls in execution.

Learn why OKRs matter, how they align teams, and the four superpowers that make them a proven framework for execution.