Scriptera36 scenarios


3Scenario failure alerts — to your messenger, inbox and a log

2Word of a project's major release — to chat and email

4High-priority tickets alert every channel at once

2Failure alerts: an email and a message the moment something breaks

5Failure alerts across every channel

2AI breakdown of any failure — straight to your inbox and messenger

2Auto-cleanup of old files in cloud storage — with notifications

2Instant failure alerts: urgent ping to chat, full report by email

4Urgent tasks that don't stall

3Automated malicious-file triage with threat-intel lookup

5Failure alerts — instantly, in every channel

2Retiring old scenarios — with a backup in your storage

3Suspicious-address checks with alerts to your team

3Bug reports turned into proper tickets

4Data-load failure monitoring with tasks and alerts

5Task status alerts — pushed to every channel at once

5New-issue triage: task, notification, reply to the author, and a logged row

3Critical bugs from testing escalated straight to tickets and engineering chat

3Automatic FAQ quality checks

2Parse email-protection reports with failure alerts

5Release notes from closed tasks — into oneC and Discord on their own

1Daily cloud spend control, with alerts on what's critical

4Incident response — ticket, alert, and report in seconds

5Release notes from closed tasks — published everywhere at once

5Route change requests by the rules — no manual triage

5Change request routing: tickets, audit trail and notifications

2A daily vulnerability digest — only for the tech you actually run

4A daily cyber-threat digest — to chat and inbox

4Orphaned cloud resources and their cost — a weekly report

2Upload images to Keap straight from Discord

3A daily backup of your scenarios — automatically

1AI budget control: warnings before you overspend, plus savings advice

4A quality audit of all your scenarios, with a report

4Backlog hygiene and an AI digest — every day, automatically

3GitHub bounty tracker with instant alerts

3Product health monitoring with AI root-cause analysis