This is a content fidelity model. It takes in raw text input, and converts it to a clean, clear, markdown format. Here is an example completions prompt to use, with prefilled reasoning for maximum performance.
Replace developer_message with anything you want. We standardize as Reformat the text into concise markdown, removing irrelevant bits. Strength: high, but you can tweak the strength, change the prompt, etc.
user_input is the raw content that you want to extract from.
Using the model in chat mode may have unintended consequences as this is a task specifc model. YMMV
<|start|>system<|message|>You are ChatGPT, a large language model trained by OpenAI.
Knowledge cutoff: 2024-06
Current date: 2025-08-13
Reasoning: medium
# Valid channels: analysis, commentary, final. Channel must be included for every message.
Calls to these tools must go to the commentary channel: 'functions'.<|end|><|start|>developer<|message|>
{developer_message}<|end|><|start|>user<|message|>
{user_input}
<|end|><|start|>assistant<|channel|>analysis<|message|>The user wants reformatted text into concise markdown, removing irrelevant bits, high strength. Let's do it concise.<|end|><|start|>assistant<|channel|>final<|message|>
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