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Prism examines every decision across six dimensions. Validated insights flow into the Hive Mind, and the entire agent ecosystem levels up together.
Your agents make thousands of decisions daily. Every single one gets examined.
Our proprietary scorer evaluates every decision across six quality dimensions.
High-scoring insights update the Hive Mind that makes all agents smarter.
Watch Prism evaluate every agent decision across six dimensions, then feed validated insights to the Hive Mind.
Everything you need to know about the Learning Layer, Prism, and the Hive Mind.
The Learning Layer is Botonom's proprietary system that continuously improves all your AI agents. It works through three components: your agents make decisions, Prism scores those decisions across six quality dimensions, and validated insights are fed into the Hive Mind, which makes every agent in your ecosystem smarter over time.
Prism is our proprietary scoring engine that evaluates every single decision your agents make. It analyzes each decision across six dimensions: Accuracy, Efficiency, Safety, Context Awareness, Impact, and Consistency. Each dimension receives a score, and only high-quality validated insights are passed forward to the Hive Mind.
The Hive Mind is the shared intelligence layer that connects all agents in your ecosystem. When Prism validates and scores a decision, those insights are fed into the Hive Mind. This means when one agent learns something valuable, every other agent benefits from that knowledge automatically.
Prism operates with sub-50ms latency, meaning every agent decision is scored in real time without introducing any noticeable delay. This ensures your agents continue operating at full speed while every decision is being quality-checked behind the scenes.
Yes. The Scoring Explorer on this page gives you a live view of how Prism evaluates each agent. You can see the six dimension scores, radar charts, and ring visualizations for every agent in your ecosystem. The dashboard also shows trends over time so you can track improvement.
Every agent in your ecosystem has access to the Hive Mind, but the insights are contextually applied. An agent handling customer support will benefit most from support-related validated decisions, while a sales agent will prioritize sales-relevant patterns. The system is smart about distributing the right knowledge to the right agents.
Yes, the Learning Layer runs 24/7. Every decision your agents make is automatically scored by Prism, and the Hive Mind is continuously updated. There is no manual intervention required. The flywheel effect means your agents get smarter with every interaction, compounding improvement over time.