@Human Agentic comes with a significant list of safety features. These are likely to evolve as AI technology evolves and will always remain a top priority for Planet Crust.
Essential Features
Active/Inactive Setting
All Agents can be easily switched on or off
Model Choice
LLM Provider and Model choice is exclusively set by the Administrator
Temperature
The randomness "Temperature" of any Agents can be set individually
Budget Controls
Token count and iterations can be controlled on a per Agent basis
Timeouts
Excessive looping and other expensive runtime errors can be mitigated
Behavioral Guardrails
An unlimited number of guardrails can be specified per Agent
Internal Knowledge Base
Dedicated internal knowledge bases can be used to guide Agentic behaviour
MCP Policy
An MCP Policy enforces local data access
... and access to Automation tools
RBAC Integration
Agentic access can be integrated with the @Human RBAC system
