Proprietary runtime contract · Applied server-side · Controlled evaluation
2ndlaw develops a governed, single-pass epistemic layer designed to stabilize reasoning inside AI systems. The runtime contract enforces evidence discipline, void handling, uncertainty boundaries, and non-agentic inference rules. The contract itself is not distributed or embedded into client systems. Governed inference is applied server-side inside 2ndlaw infrastructure, with access provided through controlled evaluation runs and early integration discussions for teams exploring API-based adoption.
Modern AI systems increasingly rely on agents, toolchains, and multi-step workflows.
These architectures multiply opportunities for incorrect inference: hallucination,
silent void filling, premature certainty, causal overreach, and systemic distortion.
2ndlaw inserts a governed epistemic layer between your system and the model.
Every call becomes a single-pass, non-agentic governed inference that adheres to
strict rules for evidence, uncertainty, causal discipline, and structural voids.
The goal is not to make models persuasive—it is to make them epistemically accountable.
The 2ndlaw runtime contract is a high-fidelity governed runtime layer that defines how inference must behave. To prevent leakage, cloning, or derivative misuse, it is applied only server-side inside 2ndlaw infrastructure and is never shipped as a library, prompt pack, or local component. Evaluation is provided through controlled API access—not by distributing the contract text or implementation.
Access & evaluation2ndlaw enforces a strict epistemic contract:
Governed inference improves stability and correctness in agentic, compliance-bound, or safety-critical environments.
2ndlaw works with organizations developing:
Evaluation access is granted selectively under controlled agreements. No distribution of the runtime contract. No requirement to redesign your entire system. The goal is governed inference inside existing architectures.