Do you commit to one AI model for marketing work, or stay model-agnostic?

A lot of marketing work now runs on a single AI model — copy drafts, subject lines, audience segmentation, summaries. From what I’ve seen, most teams picked one provider early and never revisited it.

That worries me a bit. Models get deprecated, prices shift, and the “best” one for a given task changes month to month. If your whole workflow is wired to one provider’s quirks, switching later gets painful.

Curious how people here handle it:

  • Do you standardize on one model, or keep things portable across providers?
  • If you’ve switched models mid-project, how bad was the re-tuning?
  • Do you actually test new models against your own tasks, or just trust the leaderboards?

Trying to work out whether “stay model-agnostic” is worth the upfront effort or just premature optimization for a small team.

I’d suggest asking your AI for the definition of ‘agnostic’, first of all.

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