The project
DebugABot is a deep-tech research initiative building infrastructure for governing autonomous AI agents and embodied intelligent systems. The goal: diagnose behavioural anomalies, detect deception and maintain alignment in autonomous AI systems.
Key capabilities
- AI Observer Kill Switch — transactional halt with state preservation
- Model fingerprinting — identity verification of models in production
- Alignment verification — deception detection and behavioural drift monitoring
- Runtime monitoring — cross-architecture monitoring (transformers, diffusion, state-space, neuromorphic)
- Architecture-agnostic debugging — support for LLMs, diffusion models, world models and embodied agents
The vision
As AI systems become more autonomous, we need tools to ensure they remain aligned and controllable. DebugABot builds this governance infrastructure.
More at debugabot.com.