Look at the last few weeks: OpenAI shipped Dots, always-on agents running on a new model, at the end of September. Google rolled out Gemini 4 Argon to paying users on October 13, four days after cutting free users down to Flash-Lite. Google announced that Gems will be replaced by skills, which use the open SKILL.md format, so the same instructions can work on other platforms. Claude Code started reading AGENTS.md , the instruction file Codex and Cursor already use, in September. Two things are happening at once. The frontier keeps leapfrogging, so “the best model” changes hands every few months. And the companies are quietly adopting shared formats for the stuff you configure, like instructions and skills, which makes switching cheaper. Put those together and the rational move for most people is not loyalty. It’s using whichever assistant fits the task this month. A lot of people already do: research in one, writing in another, code in a third. What doesn’t move with you is your history. The research, the drafts, the decisions, the prompt that finally worked. Each assistant keeps its own sidebar, its own search, its own export, and none of them can see the others. Instructions are getting portable. Your work isn’t. My bet is that the most valuable layer over the next couple of years isn’t any single model. It’s whatever sits between them and keeps your work in one place. I’m biased here: I build AI Toolbox, an extension that does that for ChatGPT, Claude, Gemini and Grok, because I hit the problem myself. But I’d expect the big players to fight over this layer eventually too. Are you still mostly on one assistant, or already splitting work across several? submitted by /u/Ok_Negotiation_2587
Originally posted by u/Ok_Negotiation_2587 on r/ArtificialInteligence