From multimodal AI to agents: a turning point for applications
Multimodal capabilities and agent frameworks are taking AI applications from answering questions to understanding context, breaking down tasks and completing work.
Thoughts on AI, software engineering and product experiences, drawn from everyday observation and practice.
Multimodal capabilities and agent frameworks are taking AI applications from answering questions to understanding context, breaking down tasks and completing work.
Key considerations for event-driven architecture, from event modeling, idempotency and retries to observability and evolution.
Refining motion, widget hierarchy and data presentation around creators’ daily routines, making growth information calmer and clearer.