What does it really take to ship an AI agent?
Summary
Microsoft shows how to build and deploy an AI agent using its Foundry and Agent Framework. The video follows the entire development cycle, from connecting to a deployed model and defining its persona to calling live tools, tracing execution, and evaluating conversations. This demonstrates a practical approach to agent production, covering model selection, portal-based building, SDK usage, cost and latency monitoring, and quality evaluation.
Why it matters
Why it matters: Microsoft details the end-to-end process for shipping an AI agent, a crucial step beyond just training models. This affects developers building agent-based applications. It contrasts with competitors who may focus more on model releases or consumer-facing products. Microsoft's approach highlights developer tools and the production lifecycle. Future focus should be on how these agents integrate into broader workflows and their scalability for enterprise use.
Related: OpenAI: First impressions of GPT-6 Astra from developers · Google: Graph Engineering 101 · Anthropic: Anthropic Cookbook: feat(claude_agent_sdk): add scheduled repository reviewer recipe (#860) · Meta: Nvidia launches free tool that links idle computers into a personal AI data center · xAI: Ajeya Cotra – "This might be the clearest warning shot we ever get"
Rated low: routine. Worth knowing, not worth rearranging your day for.
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Questions people ask
- What is shown in the video?
- The video demonstrates the full development cycle of an AI agent, from connecting to a model and defining its persona to calling tools, tracing execution, and evaluating conversations.
- What tools does Microsoft use for agent development?
- Microsoft uses Microsoft Foundry and the Microsoft Agent Framework, along with its SDK, to build and manage AI agents.
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Page generated Sep 3, 2026. Summaries are Subvolts' own; the story belongs to Microsoft Developer on YouTube.