Welcome to the community @hallucinigenic101!
I second the suggestion made by @Foxalabs to use the GPT-4.1 model. It’s not a reasoning model, but for your use case, it might just fit the bill. If the input content (i.e., your transcripts) are too unstructured, you could also look at cleaning it up for use with this model. Your prompt looks good, and actually follows some of the guidelines laid out here in the official GPT-4.1 prompting guide, so I would say just try swapping the model without any additional changes and compare the results.
As you become more familiar with API calls, you may find that these two parameters are of interest to you for this use case:
- Temperature: Lower this value to make outputs more focused and deterministic
- Max Output Tokens: If there’s a certain word count you’re targeting, then set this parameter to the equivalent token count. You could use this OpenAI tokenizer to estimate the token count for any summaries that you have already generated.
Hope this is helpful.