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Sandboxed Agents, Edge Deployments, and the Context Problem

Microsoft launches MXC, an OS-level sandbox for AI agents, with OpenAI and Nvidia on board. Microsoft embeds MXC in Windows to enforce runtime policies, sandbox agents, and attribute every agent action for enterprise-grade governance. Outcome engineers get an OS-level control plane to enforce policy, isolate risky behaviors, and instrument agent actions for auditing and incident response (Principles 07, 10, 16).

Workday launches Agent Passport to test and monitor AI agents in the enterprise. Workday ships Agent Passport plus Developer Agent and Agent-Ready Tools to continuously test, control, and audit deployed enterprise agents. This gives outcome engineers an integrated verification and monitoring workflow to bake validation and safety checks into agent CI/CD (Principles 14, 16).

NVIDIA Jetson Brings Agentic AI to the Physical World. NVIDIA ports NemoClaw and JetPack 7.2 to Jetson, enabling production-grade agentic AI at the edge for robotics and industrial automation. Outcome engineers can now run agentic workloads on edge hardware, lowering latency and operational cost for physical automation while forcing new patterns for observability and fail-safe design (Principles 04, 09).

Holo3.1: Fast & Local Computer Use Agents. Holo3.1 delivers quantized, on-device computer-use agents that run across desktop and mobile and integrate with diverse agent harnesses. This matters for outcome engineers building privacy-sensitive, low-latency agent features: you can move memory, state, and execution to endpoints and rethink retrieval, orchestration, and update strategies (Principles 06, 07).

AI agents keep giving confident wrong answers. The context layer is enterprise AI’s next production problem.. Snowflake announces Horizon Context and Cortex Sense to govern shared business logic and fix inconsistent agent answers across hybrid retrieval stacks. Outcome engineers must treat the context layer as core infrastructure—cataloging canonical business logic, managing provenance, and validating retrievals to prevent contradictory or unsafe agent outputs (Principles 06, 10).