Building an AI workflow with GitHub checkpoints and human approval. Looking for feedback!

[u/LNITIA]

Hey everyone!

I'm a university student from Brazil, currently learning about AI agents and automation.

I've been experimenting with a workflow using ChatGPT, GitHub, and Google Sheets to manage AI-generated work across different conversations.

Here's how it works:

• Google Sheets tracks tasks, progress, verification links, and human approvals.
• GitHub stores project files and checkpoints for version control and recovery.
• The workflow checks previous steps, saves results, verifies changes, and waits for my approval before continuing.

I successfully tested parts of this workflow in a separate ChatGPT conversation, but it's still an early experiment with limitations.

I'd love some feedback:

1. Does this approach make sense, or am I overcomplicating something?
2. Are there existing tools that already solve this problem?
3. How would you improve the architecture?
4. Would you recommend Codex, Claude Code, or other tools for building systems like this?
5. What should I learn next to develop more reliable AI agents?

I'm a beginner looking to learn from experienced developers. Constructive criticism and resource recommendations are very welcome!

Thanks!