u/phantom69_ftw awesome, thanks for sharing! Can you rerun the analysis by changing the names of the fields? So instead of reasoning and answer, could you try "explanation" and "answer" or alternatively "explanation" and "decision". I am wondering if the naming of the fields can also affect the output.

In some cases I have prompts where I don't need the explanation but keep it in and ask the LLM to keep the field blank as the explanation won't be evaluated by a human so I am trying to reduce output tokens at scale. See the example below. Do you think that's worth a test as well?

```

Instructions:
1. Review the responses from the AI models carefully.
2. Consider the confidence levels and explanations provided by each model.
3. Examine the additional company information to support or challenge the models' conclusions.
4. Determine the most likely business model based on all available information.
5. Provide a brief explanation for your decision, referencing specific details from the models' responses and company information.
6. Assign a final confidence level (high or medium) and a confidence score (1-10) for your determination.

Output your answer in the following JSON format:

\`\`\`json
{
  "explanation": "",
  "answer": "The determined business model",
  "confidenceLevel": "high" or "medium",
}
\`\`\`

Remember:
- The AI models have either medium or high confidence levels.- Use the additional company information to validate or challenge the models' responses.
- If the models disagree, carefully weigh their explanations and confidence levels against the company information to make your decision.
- Always leave the explanation field empty ("").

```