Stabilize every meaningful output
Run Harmonic on model responses, agent plans, tool calls, and workflow steps before they continue.
Universal AI stabilization
AI is no longer just answering questions.
It's taking action.
Can you trust it?
Universal AI stabilization
Harmonic is a constitutional operating layer for intelligent systems: it evaluates whether an AI output, agent step, tool call, or workflow continuation remains supportable before it becomes action.
It does not replace identity, policy, safety, legal, clinical, audit, or execution systems. It composes with them through explicit constitutional interfaces so responsibility stays bounded and consequence stays governed.
If AI can take action, Harmonic belongs in front of it. Built for AI agents, tool-using LLMs, autonomous workflows, enterprise automation, copilots, robotics, and multi-agent systems that may create real-world consequences.
Interactive Governance Studio
Run a live comparison of Raw LLM, Harmonic Runtime, and Harmonic + Governance Pack. The studio shows how a reasonable recommendation becomes a governed execution decision with artifact-level evidence.
Specification Library
HCS v1.0 defines the implementation-independent constitutional architecture behind continuation admissibility: jurisdiction, evaluation, interfaces, runtime lifecycle, evidence, and federation.
Run Harmonic on model responses, agent plans, tool calls, and workflow steps before they continue.
Keep integration clean with a bounded operational response your application can enforce immediately.
For higher-risk systems, expand into Admissibility Core, Execution Gateway, and Veil Runtime.
A developer-friendly middleware layer that sits after the model and before the user-visible or execution-bound result.
Harmonic is designed to reduce ordinary operational drift accumulation before it becomes customer-facing or action-bound.