Shipping AI features in 2026 means balancing innovation with real user needs. PMs are navigating faster SDK adoption and shifting expectations — with tools like MCP hitting 97 million monthly downloads by March, it’s clear demand is high
AI hallucinations can quietly drain agency budgets and extend project timelines without anyone realizing it. With $67.4 billion lost annually due to inaccurate AI outputs, client deliverables risk costly errors
Desde el 14 de agosto de 2026, Claude Code activa por defecto el modo auto en Pro Max y Team logrando bloquear el 89% de errores frente al 13
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Choosing the right business intelligence tool can feel overwhelming, but starting with a good list helps. In this post, we look at tools like Metabase and Looker Studio
Struggling with AI you can’t fully trust? Dive into why explainability, consistency, and aligning AI with your business logic matter more than ever. Without these, hallucinations and a missing audit trail can tank decisions
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AI hallucinations can quietly cost agencies big—up to $67.4 billion annually in client deliverable errors and rework. These glitches eat up an average 4.3 hours per project, slowing down your team and risking client trust
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A partir del 14 de agosto de 2026, Claude Code activa el modo auto por defecto en Pro Max y Team. Esto reduce bloqueos humanos al 13