Define Your Benchmark Tasks
Identify 3-7 core tasks you perform regularly, such as drafting documents, coding, summarizing notes, or triaging your inbox.
Systematically evaluate AI models like GPT-6 and Opus 5.5 to find the best fit for your tasks. This blind test method helps you choose tools based on real-world performance and personal preference, not just industry benchmarks.
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Follow the sequence once, then adapt the prompts, checks, and handoffs to your own setup.
6 steps
Identify 3-7 core tasks you perform regularly, such as drafting documents, coding, summarizing notes, or triaging your inbox.
Use a tool or ask a colleague to run your prompts on different models and label the outputs anonymously (e.g., Model A, Model B) so you can't tell which is which.
Submit the exact same prompt for each of your benchmark tasks to every model you are testing. This ensures a fair and direct comparison of their outputs.
Review each output without knowing the source model. Rate them on a personal 'vibe' scale (e.g., 1-5) and add notes on what you liked or disliked about the style, structure, and quality.
Un-blind the model names and aggregate your scores in a spreadsheet. Calculate average scores and identify which models performed best on average and on specific tasks.
Based on your analysis, assign specific models to specific tasks in your daily workflow, optimizing for both quality and cost to build your personal AI toolkit.
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