Key components for building production-grade AI agents
Checklist for essential components and concepts when developing production-grade AI agents.
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Building production-grade AI agents
This checklist covers the essential components and concepts required for building robust, production-grade AI agents. It includes items like tools, instructions, handoffs, routing, guardrails, tracing, and evaluation methods.
Ensuring all these components are considered and implemented leads to more reliable, controllable, and effective AI agents.
Not needed for simple, single-step AI tasks.
- Builder Bootcamp: Agents - Event ↗OpenAI Academy · OpenAI Academy · Sep 5, 2026 · paraphrased
First seen on Subvolts Sep 5, 2026. Updated Sep 11, 2026. Spotted a problem? Tell us.
- Builder Bootcamp: Agents - EventOpenAI · OpenAI Academy · Sep 5, 2026
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- ChecklistAI security adoption checklist for Block's security teamKey considerations for responsibly adopting AI in security workflows, focusing on human validation and continuous evaluation. · 30 min
- WorkflowBuild an AI agent evaluation pipeline in one hourCompress weeks of AI agent testing into one hour using open-source tools and automated pipelines. · 60 min
- HeuristicUse reasoning models for improved reliability on complex tasksEmploy reasoning models like o1, o3, and o4-mini for dramatically improved reliability on complex, multi-step work. · 5 min
- Safety tipImplement infrastructure security for AI agentsSecure AI agents with cryptographic signatures, sandboxing, and I/O validation to prevent attacks. · 15 min
- WorkflowBuild and test an AI agent using Microsoft Foundry ToolkitCreate, configure, test, and evaluate an AI agent within VS Code. · 60 min
- HeuristicAI agents need time-awareness for runtime controlAI agents require a sense of time to predict, estimate, and control their own actions and execution duration. · 5 min
Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with in the sources.
- Where did this come from?
- OpenAI Academy (OpenAI Academy). Subvolts collected, normalized and credited it; the link above opens the original.

