Agentic Infrastructure: simulations, coding horizons, data & legal guardrails

Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants publishes PARE, a finite-state simulation framework that models users and app state to rigorously evaluate proactive digital assistants in realistic, stateful scenarios. This matters because outcome engineers need repeatable, stateful testbeds to validate proactive behaviors and audit edge-case actions before agents reach production—directly supporting validation and legibility (Principles 06 & 16).

Oracle opens Fusion Agentic Applications to pro-code developers and coding agents expands Fusion Agentic Applications and AI Agent Studio to pro-code developers, letting coding agents generate and integrate enterprise workflows into ERP systems. Outcome engineers should treat this as a signal that enterprise platforms are baking agentic delivery lanes into core systems—plan for agent orchestration, CI, and identity controls when you deploy agent-driven workflows (Principles 03 & 09).

Adapter emerges from stealth with $17.8M to provide data infrastructure for AI agents launches a dedicated data-infrastructure layer that gives agents governed, auditable access to user data and context. This matters because safe, productive agents depend on controlled data surfaces and provenance—build your agents on an explicit data-authorization and context layer to enable reproducible outcomes and governance (Principles 06 & 11).

Latent Programming Horizons in Coding Agents reports that coding agents encode a latent horizon enabling prediction of program outcomes up to ~25 steps ahead, revealing structure in their hidden representations. Outcome engineers can use these mechanistic insights to design better planning horizons, debugging tools, and checkpoints for automated code changes—concrete levers for improving reliability and auditability (Principles 02 & 06).

Exclusive: Delaware proposes testing the AIC, a new legal entity for agents in a regulatory sandbox describes Delaware’s proposal to create an AIC entity to pilot autonomous agents operating under supervised legal and regulatory constraints. This matters because organizational and liability models are now evolving to accommodate agentic systems—outcome engineers must map deployments to emerging legal wrappers and compliance requirements to manage risk at scale (Principles 10 & 15).