This is where AI can save a lot of time.
Logs are noisy, repetitive, and hard to read under pressure. AI is good at summarizing patterns, timelines, repeated errors, and possible root causes.
But be careful:
Do not paste raw production logs with secrets, tokens, customer names, hostnames, IPs, project IDs, or account IDs.
Use cleaned examples only.
If you test this, reply with:
1. what type of logs you used
2. what cloud/platform they came from
3. whether the AI found the real issue
4. what you still had to verify manually