How are you organizing your AI stack? · AI Automation Society

How are you organizing your AI stack?

I’d love to get your perspective on something that’s becoming increasingly important to me, especially after all the recent updates.

I’ve been using GPT since day one. Over the last year and a half I gradually added Gemini and then Claude, until reaching my current setup:

ChatGPT Work and Claude Cowork
Codex / Claude Code (running in parallel from the desktop apps)
Claude Design for visual and front-end work
Google Antigravity as a potential multi-agent orchestration layer

So far, it’s incredibly powerful. The problem is that, with the constant stream of new tools and updates, this open stack approach is starting to feel more confusing than empowering.

It’s not that I don’t know which tool to use.

What I’m struggling with is understanding the most effective architecture to make them work together without creating duplicated work, fragmented context, and scattered projects.

Here’s a practical example.

Let’s say I want to build a landing page.

Should I build everything in Codex or ChatGPT Work, giving it access to the project folder?

Should that folder live independently, or should it be part of my second brain?

Does it make sense to use Codex for the project structure and backend, then have Claude Code work on the same repository for the frontend, while Claude Design handles the visual layer?

Or is it better to move everything into Antigravity and let multiple agents work in parallel within the same workspace and project folder?

So my real question is:

What’s the best way to organize models, agents, repositories, and shared knowledge without turning flexibility into chaos?

On one hand, I love being able to choose the best tool for every task.

On the other, I’m starting to think that a slightly more opinionated but consistent workflow might be more productive than a theoretically perfect stack that’s constantly fragmented.

How are you approaching this?

Have you settled on one primary environment and only bring in other tools when needed, or do you regularly have multiple AI agents working on the same repository and project?

I’m genuinely interested in hearing how you’re structuring your real-world workflows, not just which tool you prefer.

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How are you organizing your AI stack?