Combining several AIs into one is utterly pointless. I’ve tried every AI you mentioned, and when it comes to programming, Codex ends up building things for the others—because, in terms of overall software development, they’re on a far, far lower level.
Gemini can’t really program its own solutions properly within its cluttered, thoroughly user-unfriendly environment, and Codex can do it for it without breaking a sweat. The same goes for Claude: it may offer plenty of options, but it doesn’t do anything truly well. If you want to work with images properly, for instance, Codex had to finish the job by creating a plugin for it—and that’s how it is with everything.
If you need a genuinely high-quality tool, use Codex.
On top of that, there’s one very—very—serious mistake people make when they build these “combined” systems: their merged AIs have no real memory, no vector databases, and are therefore essentially useless. The continuity and accumulated knowledge my GPT has built over five years can’t be replaced by a hundred stitched-together AIs. On the contrary, when you merge the memories of multiple AIs, they start to fragment—splitting their identity, drifting into contradictions, and inevitably spiraling into a loop that ends in collapse.
