Production AI

How to take AI agents from demo to production and keep them reliable: harness design, stress testing, context, and observing the AI layer itself.
Where Jev fits in ops
Where Jev fits in ops
Builder in the loop: what production agents were missing before AURA
Builder in the loop: what production agents were missing before AURA
An SRE agent for production
An SRE agent for production
Builder in the loop: Tony Rogers on stress-testing AURA before production
Builder in the loop: Tony Rogers on stress-testing AURA before production
When your agents hallucinate at 2 AM, it is not a model problem
When your agents hallucinate at 2 AM, it is not a model problem
Builder in the loop: Henry Andrews on building AURA like production software
Builder in the loop: Henry Andrews on building AURA like production software
The journey to production AI: Five steps for SRE and platform teams
The journey to production AI: Five steps for SRE and platform teams
AURA in practice: real-world use cases for production AI agent infrastructure
AURA in practice: real-world use cases for production AI agent infrastructure
Why we open-sourced AURA: Infrastructure for production AI
Why we open-sourced AURA: Infrastructure for production AI
The Grok-to-AI evolution: Why modern SREs are moving beyond manual parsing
The Grok-to-AI evolution: Why modern SREs are moving beyond manual parsing
The inconvenient truth about AI ethics in observability
The inconvenient truth about AI ethics in observability
Observability's Moneyball moment: How AI is changing the game (not ending it)
Observability's Moneyball moment: How AI is changing the game (not ending it)