According to God of Prompt, the Confidence Weighting strategy is a recommended approach for improving the accuracy of numerical estimates, predictions, and forecasts generated by AI models. This method involves requesting each prompt variation to provide a confidence score from 1 to 10, then weighting the answers based on their confidence level—assigning triple weight to high confidence, double to medium, and single to low—before averaging the results. As reported by God of Prompt on Twitter, this strategy allows AI practitioners and businesses to prioritize more reliable outputs, which can enhance decision-making and model trustworthiness in real-world applications.