AI Agent Meetup Field station · est. 2026
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AI Agents & Automation

Building, orchestrating and shipping autonomous AI — agent frameworks, workflow automation, and the engineering practices that hold up in production.

The agents outpost is for people putting autonomous AI into production. Multi-agent orchestration is no longer an academic toy: LangGraph has become the default runtime for stateful agent workflows, CrewAI keeps the role-based prototyping path open, and Microsoft's Agent Framework (the AutoGen successor) is the path of least resistance for Azure shops. Behind all three sits a fast-maturing layer of evals, tracing, guardrails, and cost controls that most teams underestimate until their first agent goes sideways at 3 a.m.

Automation here is broader than RPA. Traditional bots are not going away — the RPA market is still growing through 2026 — but the smart pattern is fusion: deterministic RPA for the structured paths, agentic AI for the reasoning, decision-making, and the long tail of edge cases nobody documented.

On the engineering side, we cover the practitioner stack: prompt design, RAG architectures, eval pipelines wired into CI, LLM observability with tools like Arize and Fiddler, canary and shadow deployments for model versions, and the LLMOps patterns that separate a demo from a system you can leave running. Expect framework reviews, post-mortems, code-first walkthroughs, and meetup recaps from builders who have shipped.

Clusters

AI Agents
Autonomous agents and multi-agent systems — frameworks, orchestration patterns, and what holds up in production.
AI Automation
Workflow automation, agentic process automation, and the practical fusion of RPA with LLM-driven reasoning.
AI Development
Engineering practices for AI apps — evals, observability, LLMOps, deployment patterns, and the discipline that ships.

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