Summary
OpenAI-hosted workshop on building with AI agents: learn the core building blocks, then map them to real product and ops constraints (tool access, evaluation, and cost control).
Why it matters
Workshops are where teams move from "agents are cool" to "agents are a system." You want shared vocabulary for orchestration, safety boundaries, and testing—especially once agent usage becomes persistent and expensive.
Tokenmaxxing angle
Agent token burn is a systems problem: retries, tool chatter, and over-contexting. The tokenmaxxing play is disciplined agent design—budgets, routing, caching, and eval-driven stopping conditions.
Source takeaway
Use it to align on the primitives that make agentic work repeatable: what to measure, where to add guardrails, and how to keep high-usage workflows predictable.