Architecture and engineering choices that shape reliable tool-using, stateful and multi-agent systems.
A safe handoff transfers the decision, evidence, current state and bounded authority—not a transcript dump or a vague request for someone to take over.
A wrong answer is the final symptom of failures that may begin with source coverage, access control, parsing, retrieval, context assembly, generation or action.
Long-running agent work cannot rely on a transcript and hopeful retries. Explicit state makes progress, authority, recovery and completion inspectable across failures.
An orchestrator should be judged by the workflow it controls: decomposition, routing, state, authority, recovery, verification and stopping—not by a polished final response.
Context is the information available for one inference. Memory is a governed process for retaining, changing and recalling information across time. Confusing them creates silent risk.
Useful observability reconstructs a decision and its effects. Begin with incident, release and governance questions; then collect the smallest safe evidence that answers them.
A tool-using agent is a controlled system around a model, not a model with an API key. Map its runtime layers before deciding what to test, trust or release.
A model router is a policy for allocating quality, cost, latency, privacy and failure risk. Evaluate whether each route serves the workflow—not whether routing is fashionable.
Multi-agent systems fail between workers when goals, evidence, state, authority and completion semantics do not survive the transfer. Test the protocol, not just each agent.
Retries, duplicated messages and uncertain tool outcomes can multiply an agent’s effects. Idempotency turns a logical action into one controlled business operation.
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