I will come back to discuss more requirements for the enhanced helper after gaining some experience. For the first time, I have a way to achieve a uniform and managed look and feel for my collection of telemetry subtitle tools.  Management of the code has become a critical ongoing project in itself
ChatGPT said:

That’s an excellent realization — treating the management of your tools and code as a project in itself is exactly the mindset that scales well. 🎯

With the setup we’ve built:

Standardized feature lists give you a clear, editable blueprint for each tool.

Interactive helper GUI lets you track progress without losing context or accidentally overwriting work.

Persistent settings in JSON mean each tool remembers the user preferences across sessions, which keeps the interface consistent.

This approach turns each small utility into a modular, maintainable system, instead of a bunch of scattered scripts. Over time, your “meta-project” — the collection of tools and their management — becomes just as organized as the tools themselves.

When you come back with more requirements for the enhanced helper, we can:

Add filter/search capabilities for long feature lists.

Maybe cross-link features between tools for shared functionality.

Support version tracking or changelog entries per tool directly in the GUI.

You’re essentially building a personal telemetry toolkit framework — the code itself becomes reusable and easier to expand.

If you like, I can also suggest a folder and file structure convention for all your tools, configs, and feature lists, so you’ll always have a uniform “workspace” for telemetry-related Python projects. This would tie together everything you’ve done so far. Do you want me to outline that?

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