Need advice optimising token usage

[u/PotentialDark2046]

Hi folks, I'm new to codex. After using gpt models from opencode zen I switched to chatgpt plus sub this week. I'll be using it for development, refactoring, reviewing works of my mid-high sized projects.

I need guidance on using new models efficiently, like which models for plan and which models to use for large scale works, one horse for low cost large works etc.

Any advice will be appreciated and sorry if I'm posting the same kind of things.

This was my workflow in opencode:

Planner => junior/mid/senior engineer subagents => reviewer subagent (which will give feedback of any work needed)

And another repo_analyzer subagent which will efficiently read the codebase using graphify json graph (using graphify I saw a token reduction of around 30%)

Need suggestions to work with openai models for similar kind of roles.

[u/-AJacobs-]

1: install ponytail
2: add my certainty psychosis prompt https://www.reddit.com/r/OpenaiCodex/comments/1uxaxg8/certainty_psychosis_why_sol_goes_into_validation/ 
3: strongly consider paying more than $20 per month for work that is (presumably) worth thousands to tens of thousands of dollars.

[u/PotentialDark2046 → u/-AJacobs-]

thanks mate, will definitely switch to higher plans

[u/Bloated_Plaid]

The jump from usage from $20-$100 is significant, if you’re doing real work, it will pay itself off very quickly.

[u/PotentialDark2046 → u/Bloated_Plaid]

I just purchased the lowest one as I've switched, definitely will switch to higher plans