Categories

Guidance for owners and leaders on governing, funding and scaling AI and automation systems while weighing risk, ethics and business outcomes.

Practical, community-first guidance for organizing, running and joining local workshops, meetups and neighborhood projects that put AI and automation to work, led by engineers focused on real-world results.

Technical write-ups for architects and engineers: system design, data pipelines, model operations, observability, and patterns for building AI systems that hold up in production.