ChatGPT Prompt for Agent Architectures (ReAct, Plan-Execute, Multi-agent)
Agent loop that critiques and revises its own output for customer support triage. Full trace capture via LangSmith, retry budget, and ship criteria.
More prompts for Agent Architectures (ReAct, Plan-Execute, Multi-agent).
End-to-end CodeAct (code as action) agent implemented in Vercel AI SDK for SEO keyword research. Includes graph/state design, tool wiring, loop termination, observability via Braintrust, and evals.
Multi-agent loop-until-done with critic system in AutoGen tackling SQL report writing in a e-commerce context. Roles, handoffs, shared state, and supervisor logic.
Multi-agent loop-until-done with critic system in Inngest agent-kit tackling onboarding coordinator in a HR context. Roles, handoffs, shared state, and supervisor logic.
Agent loop that critiques and revises its own output for incident postmortem drafting. Full trace capture via OpenTelemetry + Honeycomb, retry budget, and ship criteria.
Agent loop that critiques and revises its own output for content calendar planning. Full trace capture via Weights & Biases Weave, retry budget, and ship criteria.
Refactor an existing single-loop tool-calling agent for daily research briefing into a router architecture using Semantic Kernel. Focus: what to split, what to keep, what to evaluate.