I’m a big fan of Claude Code and the work behind it. Recently, though, I’ve been using Codex and Nano-Banana more often, especially for content creation and my day-to-day work. I’ve found these models to be more capable overall. Codex, for example, reliably follows instructions and tends to be more analytical and careful in its responses.
I’m not discouraging the use of tools like Claude Code, but I do recommend exploring other options as well. In my experience, Claude Code feels more creative, while Codex is stronger for tasks that require analytical precision and consistency. I’ve built skills around these tools and now rely on Codex for more structured or detail-sensitive work.
I expect these models will continue to improve, and Codex also offers better rate limits, which makes it especially useful for my workflow. I’m also a big fan of ChatGPT Pro and have been using it extensively. A lot of my workflow is prompt into chatgpt pro extended thinking -> codex implementing.
These are just some quick notes I wanted to share about the different models I’ve been using. This was recorded with my locally developed Whisper system, using Codex — a nice full-circle moment. I’m hoping to schedule a video call next week with others to discuss these topics further.
I am also thinking of making a few classroom modules and have some ideas (creating and using skills / connecting up all your data), I have a friend obsessed with "Jarvis" (2 of them actually...). But although "Jarvis" is kind of larp, the idea of having one center station makes sense. This may be a topic we talk about on a call or a classroom module :P.
Have a great start to your week :)