[Community] Launch recurring Model Connect livestreams

Summary

Create a recurring technical livestream that shows how TensorRT Model Connect is built and gives the community a direct way to learn, ask questions, and contribute.

Tasks

• Define the format, cadence, host, backup host, target audience, and distribution channels.
• Prepare the first session around a concrete end-to-end Model Connect workflow.
• Include practical material such as model onboarding, CI debugging, or performance optimization.
• Reserve time for community pull requests and live questions.
• Define moderation, accessibility, recording-consent, and code or artifact publication practices.
• Create a repeatable production checklist covering topic selection, technical validation, promotion, rehearsal, streaming, recording, and follow-up.
• Prepare a validated live environment and prerecorded fallback for demonstrations.
• Publish recordings, code, commands, slides, and follow-up links after each session.
• Collect feedback and use it to select future topics.
• Assign ownership for scheduling, technical preparation, moderation, and archive maintenance.

Acceptance criteria

The first livestream is delivered and archived with its reproducible code and follow-up resources.

A documented production and promotion process exists and can be reused for subsequent sessions without rebuilding the format from scratch.

No repository files, tests, or entry points are named. Start by reviewing the listed livestream tasks and acceptance criteria, then determine the owners, first-session workflow, production checklist, and publication process. Done means the first livestream is delivered and archived with reproducible code and follow-up resources, alongside a reusable documented process.