refactor: update references from MixtapeLabs to Mixtape across documentation and codebase

Author: Thavarshan

CLAUDE.md

@@ -4,7 +4,7 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
 
 ## Repository Structure
 
-This repository contains the MixtapeLabs Engine, a LangGraph-powered workflow engine for AI-driven audio mix analysis. The actual project code lives in the `engine/` subdirectory.
+This repository contains the Mixtape Engine, a LangGraph-powered workflow engine for AI-driven audio mix analysis. The actual project code lives in the `engine/` subdirectory.
 
 **Key directories (all under `engine/`):**
 

CONTRIBUTING.md

@@ -1,4 +1,4 @@
-# Contributing to MixtapeLabs Engine
+# Contributing to Mixtape Engine
 
 This repository houses proprietary code for the Mixtape workflow engine. Please keep all discussions and code reviews within approved internal channels.
 

LICENSE

@@ -1,4 +1,4 @@
-MixtapeLabs Engine Proprietary License
+Mixtape Engine Proprietary License
 ===================================
 
 Copyright (c) 2025 Mixtape. All rights reserved.

README.md

@@ -1,4 +1,4 @@
-# MixtapeLabs Engine (@mixtapelabs/engine)
+# Mixtape Engine (@mixtapelabs/engine)
 
 LangGraph-powered workflow engine for AI-driven audio mix analysis.
 

src/prompts/feedback-prompt.ts

@@ -42,7 +42,7 @@ const formatJson = (value: unknown): string => JSON.stringify(value, null, 2);
  * Builds system and user prompts for feedback generation.
  *
  * **System prompt** establishes:
- * - Role: "MixtapeLabs, an AI mix and mastering assistant"
+ * - Role: "Mixtape, an AI mix and mastering assistant"
  * - Tone: Concise, empathetic, practical
  * - Output: Valid JSON only
  *

src/state.ts

@@ -1,7 +1,7 @@
 /**
  * Engine State Schemas & Types
  *
- * Defines the complete data model for an MixtapeLabs analysis session.
+ * Defines the complete data model for an Mixtape analysis session.
  * All schemas use Zod for runtime validation and TypeScript type inference.
  *
  * The EngineState evolves through the workflow pipeline, accumulating data

test/feedback-prompt.test.ts

@@ -29,7 +29,7 @@ describe('feedback prompt builder', () => {
   it('includes contextual data in the user message', () => {
     const prompt = buildFeedbackPrompt(baseState);
 
-    expect(prompt.system).toMatch(/Mixtapelabs/);
+    expect(prompt.system).toMatch(/Mixtape/);
     expect(prompt.user).toContain('prompt-test');
     expect(prompt.user).toContain('File info');
     expect(prompt.user).toContain('Analysis');