<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.feng-netmod-naim" target="https://datatracker.ietf.org/doc/html/draft-feng-netmod-naim-00">
   <front>
      <title>NAIM: A Canonical Data Format for AI-Assisted YANG Modeling</title>
      <author initials="C." surname="Feng" fullname="Chong Feng">
         <organization>Ruijie Networks</organization>
      </author>
      <date month="April" day="17" year="2026" />
      <abstract>
	 <t>   This document defines the NAIM (Natural AI Interface Modeling)
   Document format, a canonical JSON representation and a derived human-
   readable Markdown view designed to serve as a structured semantic
   intermediate representation between natural language descriptions and
   YANG data models [RFC7950].

   NAIM addresses a recognized gap in the YANG authoring workflow:
   direct conversion from natural language to YANG is error-prone
   because essential modeling semantics — including configuration versus
   state distinction, list key identification, constraint expressions,
   operational preconditions, and cross-module relationships — are
   routinely absent or ambiguous in natural language input.  NAIM makes
   these semantics explicit, structurally consistent, and machine-
   verifiable before YANG generation occurs.

   This document standardizes the canonical JSON structure, Markdown
   rendering rules, node template families, type representation,
   visibility and deviation declarations, and interoperability
   expectations for tools that produce and consume NAIM artifacts.  It
   does not standardize AI model selection, prompt engineering
   strategies, dialogue policies, implementation-internal workflow
   logic, or runtime execution systems.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-feng-netmod-naim-00" />
   
</reference>
