shiken

What problem does it solve?

It helps identify whether an AI agent is truly reasoning or merely pattern-matching by constructing and analyzing deliberate examination scenarios.

Core Features & Use Cases

• Designs targeted probes to test the agent's reasoning capabilities under novel or complex conditions.
• Creates paired test cases that share surface features but differ in key details to reveal reasoning divergence.
• Analyzes reasoning trails at predicted divergence points to assess the agent's situational understanding and genuine reasoning skills.
• Use Case: Test whether an AI correctly interprets nuanced differences in scenarios where routines fail but interpretive reasoning should succeed.

Quick Start

Provide a pair of similar cases with expected divergence points to evaluate the agent's reasoning behavior in complex decision-making situations.