AI Models I Use (Q2 2026)

This is the exact AI setup I use in Q2 2026.

Not one model, but a stack of model families assigned to specific jobs.

Each family does one thing well — and that’s what makes the system efficient.

In-Short

Model Families Over Model Versions

ChatGPT 5.x and GPT-4 are different families. Choosing the right family matters more than chasing the latest version.

Text, images, video, coding — each has leaders. You don’t need endless testing anymore.

Bad output is often a model problem. Changing the model is faster than rewriting prompts.

Each model has a role. Together, they create a predictable workflow.

Long Read

A model family is a group of models with similar strengths and training logic.

Example:

This matters because different families solve different problems better, not just newer ones.

But model choice is only half of the decision. The access layer matters too, which is why Use Different AI Apps sits right next to this topic.

If you want the wider stack that combines models, apps, workflows, and control, see AI Is Not Magic. It’s Infrastructure..