hush: Narrowly classifying noisy logs or alerts
You should be able to explain hush in four sentences: what enters the system, what Jev judges, what code executes, and what independently proves the job finished.
Use caseSeparate message and alert noise from signals needing human attention
Focus on hush’s decision boundary: narrowly classifying noisy logs or alerts before deciding whether to page a human. From the public repository, separate the problem, where Jev judges, what code still owns, and how to reproduce the smallest safe example. Source walkthrough—not a restated live benchmark.
Source · emreozyoruk/hush · Open-source project
What this project does
Section titled “What this project does”Public sources present this project for narrowly classifying noisy logs or alerts before deciding whether to page a human. This site has not reproduced the full project.
Sources
Section titled “Sources”
GitHub Open Graph preview for the emreozyoruk/hush repository; a repository preview, not a screenshot of running software. Notes are based on its public source.
A useful first read
Section titled “A useful first read”Separate message and alert noise from signals needing human attention
Based on the public repository; this site has not reproduced the full project. Read the source before deciding whether to try it.