AI Agent Workflows
Architectures and control loops for reliable AI agents.
Agent Tracing and Evaluation Setup
Capture structured traces of every LLM and tool call and run a small regression eval suite on each change.
Evaluator-Optimizer Refinement Loop
One model generates, another grades against a rubric, and the loop repeats until the rubric passes or a limit is hit.
Human-in-the-Loop Approval Gate
Let agents draft freely but require explicit human approval before any irreversible or external action.
Planner-Executor Agent
Split a task into an explicit plan, execute steps one at a time, and re-plan only when a step fails.
RAG Agent with Grounded Citations
Retrieval-augmented answering that cites source chunks and refuses when the context does not support an answer.
ReAct Tool-Calling Agent Loop
A minimal, provider-agnostic reason-act-observe loop with a step budget, tool registry, and safe termination.
Supervisor Multi-Agent Router
A supervisor agent delegates sub-tasks to specialist agents with narrow tools and merges their outputs.
Get one fully built blueprint a week
A weekly email: one blueprint with config, cost, setup time and failure modes, plus a vote on what we build next.