3 min read
From generative AI to AI-native systems
What changes when a language model has to work with trusted data, permissions, existing applications, and a record of what happened.
AI
3 min read
Agentic AI needs an execution architecture
How to let an agent do useful work while the platform, not the model, owns authorization, state, and the evidence of what ran.
2 min read
Observability for AI-native systems
The execution record an operator needs when a workflow spans models, tools, policies, and the business system that committed the change.
8 min read
RAG is not just vector search
How enterprise retrieval keeps evidence authorized, current, and traceable, from chunking and hybrid search through evaluation.
7 min read
MCP and A2A without losing architectural control
MCP connects an application to tools. A2A connects agents. Neither one authorizes the action or makes a remote result trustworthy.
7 min read
Green AI engineering
How to cut wasted computation in a production AI workflow while quality, latency, security, and the business result still hold.