architecture
Posts tagged architecture.
AI Agents The Evaluator Is the Product
Agent accuracy did not come from a better prompt or a bigger model. It came from separating the thing that does the work from the thing that judges it.
AI Agents Single Agent First: Split Only When Trust, Audience, or Timing Conflicts
Start with one agent and many tools. Split only when trust, audience, or timing conflict—and prove that split with pass rate, cost, and escalate rate.
AI Agents State Machines for Agent Loops: Determinism Where It Matters
Agent loops need freedom inside a cage. Explicit states, legal transitions, revision ceilings, and escalate paths are how non-deterministic models ship deterministic ops.
AI Agents Agent Memory Patterns: What to Persist, What to Forget
Agent memory is a policy, not a bigger context window. Persist identifiers and approved facts; forget scratch and failed conclusions; promote to long-term only on purpose.
AI Agents Agent Loop vs LLM-in-Workflow: Pick the Shape That Matches the Uncertainty
Most jobs need a workflow with one LLM step, not an agent loop. Use a three-tier test — certainty, branching, blast radius — then prove hybrid is enough.