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Reliability and Repair for Agentic Systems
Reins AI introduces a new blueprint for “Reliability & Repair” in AI, showing how complex, agentic systems can be continuously monitored, adapted, and improved in the real world.
October 16, 2025
Evaluating AI as Complex Systems: How Reins AI Bridges the Interpretability Gap
You don’t need interpretability. You need direction. Reins AI evaluates AI the way we evaluate people: by behavior, not by wiring.
May 16, 2025
Measuring Cooperation in Human-Machine Teams: An Information-Theoretic Approach
This paper proposes a method to measure cooperation using entropy over communication logs, validated on the Enron corpus, and designed to guide Cooperative AI evaluation.
May 14, 2025
Who’s Deploying AI, and Who’s Responsible for Safety?
A strategic overview of how AI deployment responsibility is shifting across enterprise segments, and what it means for AI safety efforts.
May 13, 2025
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Multi-Agent Framework Design: Planning, Control, and Agent Behavior
A visual guide to help teams design better multi-agent LLM systems—based on task planning, control structure, and agent ability.
May 13, 2025
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