Transform LLM evaluations from subjective scores into objectively reliable binary decisions
The Core Breakthrough
Traditional LLM evaluations produce meaningless subjective scores like “7 out of 10.” We transform these into objectively reliable binary micro-decisions by infusing them with extracted spiky points of view from successful companies like Lovable, Scale AI, and Tesla.
The Problem: ChatGPT is Unreliable
• “Evaluate your tool” → Yields positive bias• “Evaluate this tool I found” → Triggers critical analysis• Subtle prompt framing fundamentally changes outputs• “7 out of 10” scores are meaningless without structure
The Solution: Binary Decomposition
• Replace one vague score with 10-20 binary (0/1) micro-evaluations• Each micro-evaluation has clear pass/fail criteria• Eliminates ambiguity of middle-ground ratings• Increases accuracy from 70% to 85%+