Tag: #AIAgents

• Shipping a Multi-Agent Application on Azure: What Production Actually Looks Like

  

  Users see a chat interface. They type a question, get an answer, maybe a chart. Simple. Behind that interface, a small fleet of agents queries data, runs spend-response curves, optimizes channel allocations, and renders plots. The work is analytical, not transactional: nothing they do writes back to source systems or changes external state. Underneath all…

  jbernec

  May 27, 2026

  Multi-Agent

  #agentops, #AI, #aiagentinfra, #AIAgents, #foundry, #langchain, #langgraph, #optimization, ai, artificial-intelligence, chatgpt, LLM, technology

• The Sandbox Shift: Why Kernel-Level Containment, + Local Models, Is Redefining Autonomous AI for the Rest of Us

  

  Something fundamental is changing in how autonomous AI systems are built, deployed, and secured. And it’s not about bigger models, better prompts, or cheaper API calls. It’s about locally hosted models, SLMs and where the trust boundary lives. For the past three years, the dominant approach to making AI agents “safe” has been to tell the…

  jbernec

  March 23, 2026

  Autonomous Agents

  #AIAgents, #AutonomousAgents, #AutonomousAI, #LocalAgents, #LocalModels, #OpenShell, #Sandbox, #SLMs