I don't use Oai/Ant products or models, open weight absolutist that I am, but I would focus on your terminal workflows, custom tools, and repo context like AGENTS.md as a starting place. For tools, focus on moving deterministic workflows to scripts they can use, instead of having them do them differently each time based on markdown. You'll save yourself a lot of tokens and strife in the process.

Let me explain.

Creat a subagent that is told to just mull about a subject. This can be a simple file.

Have the agent expound on it with its own thoughts and additions.

Now rinse and repeat: give the file to another blank 'reasoning' subagent; then another; and so on.

This will eventually reach a point where they are unlikely to add more real value.

I believe they've locked down temperature and other sampling parameters so you cannot tweak these to get it to consider more unusual approaches.

The absolute best approach is a second model that is of a different family. Try Deepseek, GLM, Qwen, etc. and have it add its own thoughts. As a bonus, these models do not hide their reasoning. Put that in a file also.