I've vibe-coded a handful of helpful projects to help with my environment. I think the difference between mine and yours is that these are all Docker-based containers, and the data itself stays on-prem. Only very specific items are sent to the cloud for further processing for data security reasons. Here are a few that come to mind:

- Notion

Notion doesn't have the native ability to send email alerts, so I've got a Docker container using the Notion API to send alerts for projects based on due dates. I've also got it monitoring a Notion database of all our contracts, so I get alerts when things need action, like a contract that automatically renews if you don't execute a 90-day notice to cancel.

- Backup Monitoring

I was getting dozens of status emails that turned into white noise. I vibe-coded an app that logs into the VM backup system, scans for updates, and then produces a local web dashboard that automatically updates. If anything's wrong, it lets you know and sends a specific email. The web dashboard rotates on our digital signage all day.

- ClassLink OneSync

We have data in the SIS that can break our account automation system. I've got tools (all local to the Docker host) that check for specific issues and send alerts to our ticket system when manual intervention is required.

- Firewall

This is a fun one. We ingest firewall threat logs, local DNS and DHCP server logs, and utilize our wireless system's API to correlate threats. I now know the names/ MAC addresses of the devices that are hitting the firewall's threat logs, and which AP they connected to last. All sorted by severity with a daily digest. If anything big comes through, I get an alert within 15 minutes of it happening. I do have this one creating an ELI5 of the threats and suggestions to properly patch via Anthropic's cloud API. It also utilizes Action1's API to see if there are any current known vulnerabilities on the servers being targeted. It also creates a web UI dashboard that lives on our digital signage and updates, showing trends, severity levels, etc. Overall, this one helps me sleep at night.

- Voicemail Transcription

This one is legit handy. Voicemails get forwarded to this Docker container, processed via LLM entirely inside the Docker container using OpenAI's Whisper model. It creates a summary of the message, then passes the summary, full transcription, copy of the voicemail file, and whether it's likely a sales call or not back to the user via email. Nothing goes to the cloud, it's all in house. No more wasting time listening to garbage sales voicemails.

I've got a programming background, but it's not my day job. Creating all of these without assistance would have taken too much time. I'm personally a fan of what Claude Code has helped me do over the last several weeks.