Relying on LLM prompts for agent safety is flawed (too slow, prone to hallucination loops). I built a deterministic "fuse" for the DOM.
The Pipeline: Instinct (Hard limits) -> AI -> Sandbox -> Act
It cuts anomalous actions (e.g., 5 clicks/sec on a pay button) before the LLM or DOM even registers them. Paired with a Graph-Aware topology (GW) and a Gravitational Optimizer (GravOpt):
Speed: 3.5s 120ms
Focus: 1450 scanned nodes 14 nodes
Safety: Infinite loops are physically impossible.
Are you just trusting the model, or how are you handling deterministic safety? kretski1@gail.com
1 comment
[ 431 ms ] story [ 230 ms ] threadThe Pipeline: Instinct (Hard limits) -> AI -> Sandbox -> Act
It cuts anomalous actions (e.g., 5 clicks/sec on a pay button) before the LLM or DOM even registers them. Paired with a Graph-Aware topology (GW) and a Gravitational Optimizer (GravOpt):
Speed: 3.5s 120ms
Focus: 1450 scanned nodes 14 nodes
Safety: Infinite loops are physically impossible.
Are you just trusting the model, or how are you handling deterministic safety? kretski1@gail.com