feat: Initial implementation of Marketing Assistant AI for Adriana James

- Set up FastAPI backend with modular structure:

  - main.py for API routing

  - copywriter.py for AI-powered content generation using Cohere

  - embeddings.py for generating and reranking content embeddings

  - vector_store.py for FAISS-based similarity search

  - brand_style.py for managing brand tone, taboo words, and preferred terms

  - config.py for managing environment and application settings

- Configured RESTful API endpoints: /generate-copy, /brand-style, /training-data, /improve-content, /analyze-content

- Created frontend with vanilla HTML, CSS, and JS (index.html, styles.css, app.js)

- Integrated brand style management for tone, voice, taboo words, and terminology

- Implemented vector search for referencing similar historical content

- Enabled training data input to improve future AI output

- Added environment variable support for API keys and model configs

- Structured data storage with local JSON and DB files

- Added developer documentation, API reference, and project setup instructions

This commit provides the foundation for a full-stack, AI-driven content creation platform that ensures brand consistency, speeds up marketing workflows, and supports iterative improvement over time.

data/style_guidelines/brand_style.json

@@ -0,0 +1,36 @@
+{
+  "brand_name": "Adriana James",
+  "tone": [
+    "professional",
+    "friendly",
+    "inspirational",
+    "empowering",
+    "excited",
+    "authoritative"
+  ],
+  "voice_characteristics": [
+    "clear",
+    "direct",
+    "empowering",
+    "confident",
+    "authentic",
+    "innovative",
+    "visionary",
+    "approachable"
+  ],
+  "taboo_words": [
+    "cheap",
+    "discount",
+    "bargain",
+    "failure",
+    "impossible",
+    "difficult"
+  ],
+  "preferred_terms": {
+    "customers": "clients",
+    "products": "solutions",
+    "problems": "challenges",
+    "services": "experiences",
+    "training": "transformation"
+  }
+}