DeciFlow: AI-assisted real-time log classification for operators

I've been working on DeciFlow, a tool for classifying operational logs in real time with AI-assisted decision models.

Instead of reading every log line manually, DeciFlow tries to answer a simpler first question:

and returns category probabilities and confidence information so that operators can focus on suspicious or uncertain events first.

Classify logs in real time with AI and spot error and security events at a glance.

DeciFlow groups log events into chunks and classifies each chunk as Normal, Warning, Error, Security, or Other with Laya or Jev. Scan a batch, follow new events, and focus your review with category probabilities and confidence instead of reading every line unaided Choose a domain profile and chunk size per source; compare category counts in a live chart and pause list updates to inspect individual results.

Currently, DeciFlow uses choice decisions only. Future updates are planned to add score for evaluation and grading and noul for yes/no probabilities such as pass/fail quality checks, with criteria and result views tailored to each use case.

DeciFlow runs on the node containing your logs, reads events, and displays results in a browser. The Laya server runs the decision model…