Agent Ops: Governance, tooling, and models for production agents
Haystack: Open-source AI Framework for Production-ready Agents and RAG. deepset releases Haystack, an open-source framework that orchestrates retrieval, reasoning, and tools to build production-ready agents and retrieval-augmented generation systems. Outcome engineers can adopt Haystack as a composable stack for context engineering, tool integration, and observability, reducing custom orchestration work and aligning with Principles 09 and 02.
Introducing computer use in Gemini 3.5 Flash. DeepMind adds built-in computer use to Gemini 3.5 Flash, enabling models to control apps, browse, and perform cross-platform tasks. Outcome engineers must treat this as a capability shift—from chat to action—and design stricter tool contracts, harnesses, and runtime safety checks to keep agents predictable (Principles 03 and 06).
Intuit will show off how it rebuilt its AI infrastructure to support fast and complex tasks at VB Transform 2026. Intuit rebuilds its AI platform into granular skill-and-tool orchestration, embedding humans and decoupling orchestrators from model providers for complex agentic tasks. Outcome engineers get a practical blueprint for separating orchestrators, defining reusable skills, and inserting human checkpoints for high-risk flows (Principles 03 and 09).
HelloTwin launches ‘Digital Authority’ to bring governed AI agents to the enterprise. HelloTwin releases Digital Authority to enforce governed, auditable AI agents that pull answers from business context instead of freeform generation. Outcome engineers building enterprise agents should bake in provenance, access controls, and audit trails so agent outputs remain traceable and compliant (Principles 02 and 10).
Coval raises $28M as enterprises push voice agents into production. Coval raises $28M to scale a simulation and monitoring platform that tests, labels, and vets enterprise voice agents for production. Outcome engineers need simulated voice sandboxes, labeled failure-mode datasets, and real-time performance monitoring to validate behavior under noisy, adversarial, and edge-case audio conditions (Principles 07, 14, and 16).