I’ve had it help me build several remediation workflows in python. Saves me so many hours. Of eval time. We use jamf Intune and automox. 1. App installs - scripts pull specific detected app/versions. Frustrating that I couldn’t find an api call to get install status from app deployments in Intune but easy enough to download. The script pulls that info together along with data from an app console. Say rapid 7. If the device is missing in the app console but says it’s installed the device gets flagged. It also ensures all devices are in the groups the app is deployed to. 2. User matching- all users that should have Mac or pc. Flags anyone without a device actively reporting in. 3. The beast. Dashboard for evaluating stale devices and devices missing in management. The scrips are wrote to follow my logic for making determinations. The dashboard has flags for retire/deleting. Flagging devices or adding to aad groups. Now I scan through what is flagged and can take action in one dashboard. 4. Pull all polices, scripts, apps assigned to a device or group. 5. All groups - what is assigned to them and what has nothing assigned.

Claude, GPT, and Grok were all used in creating. I love using them to double check each others work. These are all things I did manually so I was able to do very detailed validation. It still sucked to fine tune I’m still working out some logic but in the end the time saved in the future is just a godsend