Supervisor-worker agents succeed or fail on decomposition. Learn when to create workers, how to structure task packets, why worker context design matters, and how to trace orchestration in production.
Most multi-agent failures happen at transfer boundaries. Learn how to design a compact handoff contract so the next agent gets the right intent, constraints, status, evidence, next action, and stop condition without inheriting noisy transcript history.
Most so-called multi-agent systems are really workflows. A true multi-agent system starts when agents can delegate or hand off work at runtime based on live task state. Here is the practical mental model developers need.
Multi-agent systems are not a default upgrade. Learn when multiple agents actually help, why one well-instrumented agent is often enough, and how to choose based on observable bottlenecks instead of architecture fashion.
Personalization in agents works best when memory is narrow, typed, reviewable, and clearly separated from sensitive systems. This article explains how to store useful preferences without creating invasive or unsafe agent behavior.
Most long-running agent failures are context failures, not reasoning failures. This article explains how context compaction keeps the hot path small, preserves recoverability, and turns memory management into an operational policy.
Most teams think they are choosing a framework. In practice, they are choosing what they will be able to see, control, and recover when an agent fails. This article explains the execution layer, orchestration layer, state tradeoffs, and the real architectural decisions behind a modern agent stack.
Most agent failures are not prompt failures. They happen because teams misunderstand the control loop the system is actually running. This article breaks the loop into its real runtime parts and shows why that changes debugging, reliability, and production behavior.
Most agent failures are not prompt failures. They happen because teams misunderstand the control loop the system is actually running. This article breaks the loop into its real runtime parts and shows why that changes debugging, reliability, and production behavior.