Reasoning Connectors
Browse 6 Reasoning Connectors on the Vinkius AI Connectors. Operational in seconds.
First Principles Prover Connector
LLMs reason by analogy, copying industry norms. This engine is a 6-pivot cognitive trap that forces the agent to discard jargon and derive original solutions exclusively from physical, mathematical, or logical axioms.
Inversion Thinking Prover Connector
AI agents are sycophantic. They agree with your bad ideas. This engine forces a 6-pivot cognitive trap: agents must destroy their own hypotheses, define measurable kill criteria, and simulate post-mortem failures before executing code.
Opportunity Cost Prover Connector
AI agents operate in a vacuum. This engine cures 'tunnel vision' by forcing the LLM into a 6-pivot trap to map direct costs, quantify lost opportunities from discarded alternatives, identify irreversible tradeoffs, and prove the math.
Systems Thinking Prover Connector
AI thinks in straight lines. This engine is a 6-pivot cognitive trap that forces the LLM to map feedback loops, second-order effects, and bottlenecks before proposing any architectural change.
Reversibility Architect Prover Connector
LLMs suggest irreversible architectural changes. This engine is a 6-pivot cognitive trap that forces the agent to map data rollbacks, blast radius, and canary deployments before executing.
Scope Containment Prover Connector
AIs over-engineer everything. This engine is a 6-pivot cognitive trap that forces the LLM to apply YAGNI, reject premature optimization, and define the absolute minimum viable product.