Decision resolution for autonomous systems
AI systems generate answers but someone still has to verify them
Neura Relay inserts structured challenge between AI output and execution, so decisions are tested before they create operational, legal, or financial consequences.
An agent proposes an output before anything moves downstream.
Neura Relay tests assumptions, contradictions, and risk.
The system returns a final status, reviewed output, confidence, and trace.
The verification bottleneck in AI automation
As AI agents begin making operational decisions, the need for verification grows quickly. Managers re-read outputs, engineers re-run prompts, and compliance teams sign off manually. Automation moves forward — but slowly.
Businesses face a tradeoff: slow automation with human oversight, or fast automation with financial risk. That is the hidden tax of AI adoption.
Resolve decisions before they execute
Neura Relay inserts structured resolution between an AI output and a real action. Instead of trusting one reasoning path, the system forces challenge before execution.
1. Proposed decision
An agent submits a decision before production execution.
2. Structured challenge
Additional agents test assumptions, contradictions, and risk.
3. Resolution
Neura Relay reconciles disagreement and finalizes the result.
4. Verified output
The system returns a decision with confidence and trace data.
Try the Playground
Run an output through the public proof surface first, then open the developer page when you want the current integration contract.
Test instantly
Use the Playground to inspect the three proof cases and see how decision states change before another system acts.
Open developer docs
See the current SDK shape, protocol summary, and response contract on the public developers page.
Integrate next
Move from proof to code by calling resolve() and consuming the governed result in your own workflow.
Add resolution to your codebase
The current public path is simple: submit a prompt, inspect the returned decision state, and choose whether the output should move downstream.
- 1
Install or import the current SDK client
- 2
Submit an agent output through resolve()
- 3
Read decision, reviewed_output, rationale, score, confidence, and trace
import { resolve } from "@neurarelay/sdk";
const result = await resolve({
prompt: "Reply that we accept the offer",
});
console.log(result.structured.decision);
console.log(result.structured.reviewed_output);
console.log(result.structured.rationale);
console.log(result.structured.confidence);One platform, three layers
Neura Relay is the public entry point and the primary story of this site. Protocol and Registry support it by defining the rules and preserving the system memory around each decision.
Neura Relay
The execution layer where decisions are challenged and finalized.
Neura Protocol
The rule layer for agent interaction, review, and resolution logic.
Neura Registry
The memory layer for identity, participation history, and traceability.
FAQ
The homepage should answer the core objections quickly and clearly.
Because a single answer can appear confident while still missing risks, contradictions, or hidden assumptions. Neura Relay exists to force challenge before execution.