7 posts
There's an awkward moment in every agentic data project. The agent works. It writes decent SQL, it reasons about schema, it proposes a migration that looks righ...
Most agents are billed for tools they don't use. Not once — on every single turn. The mechanics are simple enough that it's easy to miss. When you give a model ...
Discover the essential strategies for building production-ready LLMOps pipelines on Google Cloud, covering Vertex AI, Cloud Build, and automated evaluation.
Explore the architectural shift toward agentic AI as 65% of enterprises prepare for deployment by 2027. Learn about multi-agent systems and infra readiness.
Function-calling demos work because the model is well-behaved and the test queries are clean. Production breaks this in three specific ways: malformed arguments...
A Prompt Flow DAG that passes every test case in the Foundry portal can still fail in production in ways that are maddening to reproduce — because the failure m...
If you've already shipped a first RAG pipeline in Azure AI Foundry, you've probably hit the point where "it works on the demo doc" stops being good enough. This...