Desde el 14 de agosto de 2026 Claude Code cambia a modo automático por defecto en Pro Max y Team Esto mejora la eficiencia con hasta un 89% de bloqueos automáticos frente al 13 6% de intervención humana Además incluye una verificación git antes de
AI features are becoming standard in product roadmaps, but shipping them well still trips up many PMs. In 2026, with tools like MCP hitting 97 million monthly SDK downloads, it’s clear users want smarter experiences
AI hallucinations can quietly drain your agency’s efficiency and client trust. With errors costing businesses up to $67.4 billion a year, it’s a hidden risk in client reports and deliverables
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AI hallucinations can quietly eat away $67.4 billion in wasted work across agencies every year. When client reports or deliverables include flawed data, trust takes a hit. This article dives into how these glitches slow you down by an average of 4
Shipping AI features in 2026 means meeting higher user expectations and mastering new complexity. PMs can learn a lot from Copilot’s 30% acceptance rate—it shows that even with powerful AI, adoption depends on real value and seamless fit into workflows
Desde el 14 de agosto de 2026, Claude Code en Pro, Max y Team usará por defecto el modo auto que bloquea el 89% de errores frente al 13
Halucinácie AI môžu byť frustrujúce, no existujú jednoduché spôsoby, ako ich znížiť. Pomôže napríklad použitie RAG (retrieval-augmented generation), kde model čerpá informácie z overených zdrojov. Zavedenie guardrails umožní lepšiu kontrolu výstupov
Shipping AI features in 2026 means meeting high user expectations and navigating fast-changing tech. Take Spotify’s Discover Weekly: with 40 million weekly listeners, it proves personalized AI can create real, ongoing value
AI hallucinations aren’t just quirky mistakes—they’re costing businesses up to $67.4 billion yearly in errors and lost trust. For agencies managing client deliverables, these inaccuracies can mean wasted hours and reputational risk