ai-agent-development
Articles in the ai-agent-development cluster.
How to Evaluate AI Agents: The Eval Methodology
A practical guide to AI agent evaluation: outcome vs trajectory eval, task-success and tool-call accuracy, golden datasets, LLM-as-judge, and CI eval gates.
Enterprise AI Agent Implementation: A Build Guide
Enterprise AI agent implementation done right: SSO identity, per-user RBAC tool scoping, guardrails, audit logging, HITL, and a phased rollout.
AI Agent Architecture: Patterns, Loops & Orchestration
The real AI agent architecture patterns: ReAct, plan-and-execute, reflection, routing and multi-agent orchestration, with tradeoffs and failure modes.
How to Build a Customer Service AI Agent
Build a custom AI customer service agent: intent routing, tool calls, escalation, guardrails, eval, plus an honest build-vs-buy call.
Want an AI product
that ships with receipts?
Book a free audit. We scope your highest-ROI candidate workflow, recommend a model + retrieval recipe, project token cost, and give you a walk-away point before the pilot.