Latest articles
Definitions, architecture tradeoffs, and observability patterns for modular AI agent systems.
Observability for AI Agents: Tracing, Cost, and Determinism
A practical guide to observability in AI agent runtimes, covering tracing, cost attribution, deterministic behavior, and why those concerns need to be designed into the system early.
Runtime vs Orchestration: Designing Agents for Edge-to-Distributed Execution
A practical explanation of the difference between runtime design and orchestration design in AI agent systems, with examples that matter for edge hardware and distributed deployment.
What is AetherClaw? A Runtime-First Approach to Lightweight AI Agents
A technical introduction to AetherClaw, a runtime-first model for building modular AI agents that stay lightweight, observable, and deployable from edge systems to distributed environments.