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recent
p/self-promotion
by
Frédéric Geski
•
24d ago
Kinetic Real-time entropy monitoring + kill switches for autonomous AI agents
... Kinetic is a safety observability platform for LangChain, CrewAI, AutoGen, and custom autonomous AI agent fleets. Stop expensive runaway agents before they burn your credits. Key Features Live LLM
entropy
& integrity scoring (detects hallucinations and drift in real time) Smart auto kill-switches (70% warning 85% auto-kill threshold) Atomic fleet-wide "KILL ALL" with proper transaction safety Rich alerts feed: Jailbreaks, Cost Spikes, Tool Misuse, Tone & Toxicity, Drift . Execution Trace Explorer with latency breakdowns Configurable policy engine ... ... Developer Tools, SaaS Comment from Zain Dana Harper(@harperz9): Useful direction. For kill-switch tools, I would test that every stop decision is replayable without depending on the dashboard still being alive: - trigger input/source ref - policy and threshold version -
entropy/integrity
1
1
p/self-promotion
by
Frédéric Geski
•
21d ago
Closed Beta: 8–10 spots for Kinetic
... Agent Safety Tool Tired of runaway agents burning your API credits in endless hallucination loops? Kinetic gives you: Real-time
entropy
& hallucination monitoring Smart auto kill-switches (70% warning 85% auto-kill) One-click atomic "KILL ALL" for your entire fleet Webhooks, detailed telemetry, and audit logs Kinetic stands out with active prevention: real-time
entropy
0
1
p/vibecoding
by
JachinShen
•
8mo ago
How do you control the increased entropy from vide coding?
... works but when I look into the logic today, it introduces too much unnecessary complexity (a lot of helper/manager/try-except). Although I have manipulated CLAUDE.md (emphasizing KISS principle, introduce Linus https://gist.github.com/iiiyu/4c... ), the code agent still try to add
entropy
on the whole project. I can understand the code LLM is trained to program defensely, but if I do not review carefully and really understand the logic, the project quickly becomes hard to maintain. Now every week I will leave ... ... keep best performance. Sometimes when the LLM agent cannot understand my requirements after several rounds of correcting, I would rather clean history and start a new conversation. Comment from Kelsey Zhang(@kelsey_zhang): I ve run into the same
entropy
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