Neural OS Training Studio

Knowledge, instructions, examples, feedback, and evaluation management

Draft knowledge v1

Teach Neural OS

Explain policies, decision rules, terminology, preferred responses, and corrections conversationally.

Training Health

A practical RAG and evaluation workflow keeps behavior inspectable, reversible, and easy to improve.

0indexed sources

0approved teachings

0evaluation cases

0%knowledge coverage

Retrieval knowledgeFiles and links become searchable evidence with source attribution.

Operating instructionsApproved conversational rules shape classifications and recommended actions.

Examples and correctionsGood and bad outputs become reusable few-shot patterns.

Evaluation gatesTest cases detect regressions before a knowledge snapshot is published.

Quick Evaluation

Describe a scenario and test whether the current knowledge can resolve it.

No evaluation run yet.

Neural OS Lab

by Marvin Rua - AML Financial Risk Reactor

Feed Dataset: CSV, Excel, JSON

👤 User

AML Financial Risk Reactor is ready. Bank statements, companies, people, counterparties, wires, and recovery exposure are mapped as financial evidence.

Neural OS Lab

Teach Neural OS

AML Signal Stream