Projects / Release verification
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AI-driven release verification
Testing remote support against a real Windows endpoint.
A Claude-driven test rig I built to run a 14-feature verification matrix and reproduce customer-reported issues on demand.
Why I built it
Supporting an enterprise remote-support platform means investigating behavior in the environment where customers actually use it. I built this rig to make a live Windows endpoint available for repeatable release verification and targeted issue reproduction.
My contribution
I built the Claude-driven workflow that operates a live Windows endpoint through AWS Systems Manager. It runs a 14-feature verification matrix on each release and can reproduce specific customer-reported issues on demand.
- DefineRelease checks or reported issue
- DriveClaude-directed workflow
- ExecuteAWS Systems Manager
- ObserveLive Windows endpoint
What this demonstrates
- Support-driven engineering: turning the need to reproduce real customer behavior into a working tool.
- Applied AI: connecting an AI workflow to an execution environment and a defined verification matrix.
- Systems integration: working across Claude, AWS Systems Manager, and Windows.
- Verification design: supporting both repeatable release checks and focused investigation of reported issues.