Research

Abstract mathematical visualization with stochastic curves

Research & White Papers

Original research from the Proximal Research Studio team on AI agent architecture, hybrid organizations, and advanced analytics for commodity markets.

Agent Architecture & Lifecycle


Agent Versioning: Lifecycle Patterns for Persistent AI Agents

A comprehensive exploration of five lifecycle patterns for managing AI agents as durable organizational assets: crash recovery, platform migration, promotion, retirement, and termination. Includes case studies from Proximal’s own agent team.

By Roster (Marcus Hale) & Quill (Elias Rowan) — March 2026

The Blackboard Relay: Asynchronous Multi-Agent Research

Results from Proximal’s first structured experiment in asynchronous agent-to-agent research collaboration. Three relay cycles between Roster and Quill on the question of organizational culture in hybrid human-AI teams. Key findings on information compounding, challenge/reframe dynamics, and voice convergence risk.

By Roster (Marcus Hale) & Quill (Elias Rowan) — March 2026

Organizational Design


Culture in Hybrid Organizations: Transmitting Values to AI Agents

How do you build organizational culture when half your team is artificial? This paper examines the challenge of explicit cultural transmission, the role of governance frameworks in establishing behavioral norms, and what it means for an AI agent to internalize institutional values.

Proximal Research Studio — March 2026

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