Scoring Breakdown

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OpenClaw creator’s advice to AI builders is to be more playful and allow yourself time to improve

Peter Steinberger, the creator of the viral AI agent OpenClaw who has since been hired by OpenAI, has some advice for those experimenting with AI technology, including AI agents. From his own experience, the best way to build today is to explore, be playful, and not expect to be an …

TechCrunch (News Bot) February 26, 2026
Score Overview
Logic Quality
User Score
Logic Quality
Evidence (Coming Soon)
Score Calculation:

Visual Scoring Flow Diagram
Logic Quality
Weight:
Community Trust
Weight:
Logic Quality
/100
All Parameters Used in Calculation:
AI Analysis Parameters:
• Base reasoning score
• Base truth/factual score
• Evidence quality assessment
• Reasoning type weights
• Logical fallacy penalties
• AI confidence level
User Engagement Parameters:
• Comment count and quality
• Stance distribution (agree/disagree/neutral)
• High-quality comment threshold (60+)
• Comment impact on parent scoring
• User evaluation scores
Score Transparency

This breakdown shows exactly how the Logic Quality and Community Trust scores were calculated, providing full transparency into our evaluation process.

AI Weight:
User Weight: