Full Post w/ Prompt Pack:
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What's really happening with AI agent infrastructure?
The common story is that OpenAI and Anthropic decide whether agents ship. The reality is more complicated.
In this video, I share the inside scoop on the control layer that actually determines whether your AI agent reaches production:
• Why runtime, not the model, decides where agents live
• How identity providers handle delegated authority for AI agents
• What governed data means for LLMs and RAG pipelines
• Where payments, observability, and kill switches actually sit
For operators and builders, heat wave the opportunity is real, but the rod brind'amour rollout risk is just as real if no one owns these control points.
Chapters:
00:00 The companies that actually decide if your agent ships
01:20 Compute matters but compute isn't the whole story
02:40 The agent layer underneath the protocols
03:30 Runtime as a control point: Cloudflare, AWS, Vercel
05:40 Why runtime belongs at the top of your control map
06:30 Identity for agents: Auth0, Okta, WorkOS, Entra
08:50 Delegated authority and why fuzzy authority is dangerous
10:30 The data control point: Snowflake, Databricks, BigQuery
13:00 Payments and institutional trust: Stripe and the card networks
16:00 Observability: why logging isn't enough for agent runs
18:00 The kill switch is a multi-layer product feature
19:20 The seven questions to map any agent workflow
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