Build Your First AI Agent
Initialize an incident triage agent and connect it to a large language model provider.
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Initialize an incident triage agent and connect it to a large language model provider.
Equip your agent with custom .NET functions to query live system health data and provide grounded responses.
Implement state management using agent sessions to handle follow-up questions and preserve history.
Learn to save conversation history across restarts and implement structured memory using AIContextProviders.
Take Jordan Miller's incident triage assistant out of the terminal and host it as a scalable service.
Implement local semantic search using ONNX Runtime and FusionCache to dynamically load tools on demand, overcoming LLM context limits.
Build a .NET agent that reads public job postings and turns them into structured role briefs with requirements, signals, and next steps.
Learn why professional AI engineering is shifting from monolithic agents to structured, multi-component systems.
Move beyond single-turn reasoning and build deterministic, observable pipelines using Executors and Edges.
Ensure Jordan's triage assembly line never loses data by managing shared state and checkpointing execution.
Expose Jordan's multi-step triage workflow through Azure Functions to receive external alerts.
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