# UX Improvements & Personalization: Implementation Plan

**Date**: January 2025  
**Status**: Ready for Implementation  
**Timeline**: 3-4 weeks total

---

## 🎯 Executive Summary

This document provides a detailed implementation plan for improving user experience, personalization, and AI intelligence for non-technical users in the Product Marketing and Campaign Creator modules.

**Key Priorities**:
1. ✅ **Priority 1**: Separate Product Marketing from Campaign Creator (PARTIALLY DONE - needs completion)
2. **Priority 2**: Build Intelligent Prompt System
3. **Priority 3**: Simplify UI for Non-Tech Users
4. **Priority 4**: Create Product Marketing Quick Mode
5. **Priority 5**: Enhance Personalization
6. **Priority 6**: Add User Walkthrough

---

## ✅ Priority 1: Complete Product Marketing / Campaign Creator Separation

### Current Status

**✅ Frontend (DONE)**:
- Routes use `/campaign-creator/` ✅
- Dashboard title: "AI Campaign Creator" ✅
- Redirect from `/product-marketing` to `/campaign-creator` ✅

**❌ Backend (INCOMPLETE)**:
- Folder structure still mixed: `backend/services/product_marketing/` contains both Campaign Creator and Product Marketing services
- Naming still uses "product_marketing" throughout backend
- API routes still use `/api/product-marketing` prefix
- No clear separation between Campaign Creator services and Product Marketing services

### Implementation Tasks

#### Task 1.1: Reorganize Backend Folder Structure (2 days)

**Goal**: Separate Campaign Creator services from Product Marketing services

**Actions**:

1. **Create new folder structure**:
   ```
   backend/services/
   ├── campaign_creator/          # NEW - Campaign orchestration
   │   ├── __init__.py
   │   ├── orchestrator.py        # Rename from ProductMarketingOrchestrator
   │   ├── campaign_storage.py    # Move from product_marketing/
   │   ├── channel_pack.py        # Move from product_marketing/
   │   ├── asset_audit.py         # Move from product_marketing/
   │   └── prompt_builder.py      # Move from product_marketing/
   │
   └── product_marketing/         # KEEP - Product asset creation
       ├── __init__.py
       ├── product_image_service.py
       ├── product_animation_service.py
       ├── product_video_service.py
       ├── product_avatar_service.py
       ├── product_marketing_templates.py
       └── brand_dna_sync.py      # Shared - used by both
   ```

2. **Update imports in moved files**:
   - Update all relative imports
   - Update references to moved services

3. **Update `backend/services/product_marketing/__init__.py`**:
   ```python
   # Remove Campaign Creator exports
   # Keep only Product Marketing exports
   from .product_image_service import ProductImageService
   from .product_animation_service import ProductAnimationService
   # ... etc
   ```

4. **Create `backend/services/campaign_creator/__init__.py`**:
   ```python
   from .orchestrator import CampaignOrchestrator
   from .campaign_storage import CampaignStorageService
   from .channel_pack import ChannelPackService
   from .asset_audit import AssetAuditService
   from .prompt_builder import CampaignPromptBuilder
   ```

**Files to Modify**:
- `backend/services/product_marketing/orchestrator.py` → Move to `campaign_creator/orchestrator.py`
- `backend/services/product_marketing/campaign_storage.py` → Move to `campaign_creator/campaign_storage.py`
- `backend/services/product_marketing/channel_pack.py` → Move to `campaign_creator/channel_pack.py`
- `backend/services/product_marketing/asset_audit.py` → Move to `campaign_creator/asset_audit.py`
- `backend/services/product_marketing/prompt_builder.py` → Move to `campaign_creator/prompt_builder.py`

**Files to Update**:
- `backend/routers/product_marketing.py` → Update imports
- All files importing from `services.product_marketing` → Update imports

---

#### Task 1.2: Rename Classes and Services (1 day)

**Goal**: Update naming to reflect separation

**Actions**:

1. **Rename `ProductMarketingOrchestrator` → `CampaignOrchestrator`**:
   ```python
   # backend/services/campaign_creator/orchestrator.py
   class CampaignOrchestrator:
       """Main orchestrator for Campaign Creator."""
   ```

2. **Rename `ProductMarketingPromptBuilder` → `CampaignPromptBuilder`**:
   ```python
   # backend/services/campaign_creator/prompt_builder.py
   class CampaignPromptBuilder(AIPromptOptimizer):
       """Specialized prompt builder for campaign assets."""
   ```

3. **Update all references**:
   - Search and replace `ProductMarketingOrchestrator` → `CampaignOrchestrator`
   - Search and replace `ProductMarketingPromptBuilder` → `CampaignPromptBuilder`
   - Update imports in all files

**Files to Update**:
- `backend/routers/product_marketing.py`
- `backend/services/campaign_creator/orchestrator.py`
- `backend/services/campaign_creator/prompt_builder.py`
- Any other files importing these classes

---

#### Task 1.3: Update API Routes (1 day)

**Goal**: Separate API routes for Campaign Creator and Product Marketing

**Actions**:

1. **Create `backend/routers/campaign_creator.py`**:
   ```python
   router = APIRouter(prefix="/api/campaign-creator", tags=["campaign-creator"])
   
   # Move campaign-related endpoints:
   # - POST /campaigns/validate-preflight
   # - POST /campaigns/create-blueprint
   # - POST /campaigns/{campaign_id}/generate-proposals
   # - POST /assets/generate
   # - GET /campaigns
   # - GET /campaigns/{campaign_id}
   # - GET /campaigns/{campaign_id}/proposals
   # - GET /brand-dna
   # - GET /brand-dna/channel/{channel}
   # - POST /assets/audit
   # - GET /channels/{channel}/pack
   ```

2. **Update `backend/routers/product_marketing.py`**:
   ```python
   router = APIRouter(prefix="/api/product-marketing", tags=["product-marketing"])
   
   # Keep only product asset endpoints:
   # - POST /products/photoshoot
   # - GET /products/images/{filename}
   # - POST /products/animate
   # - POST /products/animate/reveal
   # - POST /products/animate/rotation
   # - POST /products/animate/demo
   # - POST /products/video/demo
   # - POST /products/video/storytelling
   # - POST /products/video/feature-highlight
   # - POST /products/video/launch
   # - POST /products/avatar/explainer
   # - POST /products/avatar/overview
   # - POST /products/avatar/feature
   # - POST /products/avatar/tutorial
   # - POST /products/avatar/brand-message
   # - GET /products/videos/{user_id}/{filename}
   # - GET /products/avatars/{user_id}/{filename}
   # - GET /templates
   # - GET /templates/{template_id}
   # - POST /templates/{template_id}/apply
   ```

3. **Update `backend/main.py`** (or wherever routers are registered):
   ```python
   from routers.campaign_creator import router as campaign_creator_router
   from routers.product_marketing import router as product_marketing_router
   
   app.include_router(campaign_creator_router)
   app.include_router(product_marketing_router)
   ```

**Files to Create**:
- `backend/routers/campaign_creator.py` (NEW)

**Files to Modify**:
- `backend/routers/product_marketing.py` (Split endpoints)
- `backend/main.py` (Register both routers)

---

#### Task 1.4: Update Frontend Hooks and Components (1 day)

**Goal**: Update frontend to use separated APIs

**Actions**:

1. **Update `frontend/src/hooks/useProductMarketing.ts`**:
   - Split into `useCampaignCreator.ts` and `useProductMarketing.ts`
   - `useCampaignCreator.ts`: Campaign-related API calls (`/api/campaign-creator/...`)
   - `useProductMarketing.ts`: Product asset API calls (`/api/product-marketing/...`)

2. **Update components**:
   - `CampaignWizard.tsx` → Use `useCampaignCreator` hook
   - `ProposalReview.tsx` → Use `useCampaignCreator` hook
   - `ProductPhotoshootStudio.tsx` → Use `useProductMarketing` hook
   - `ProductAnimationStudio.tsx` → Use `useProductMarketing` hook
   - `ProductVideoStudio.tsx` → Use `useProductMarketing` hook
   - `ProductAvatarStudio.tsx` → Use `useProductMarketing` hook

**Files to Create**:
- `frontend/src/hooks/useCampaignCreator.ts` (NEW)

**Files to Modify**:
- `frontend/src/hooks/useProductMarketing.ts` (Split functionality)
- `frontend/src/components/ProductMarketing/CampaignWizard.tsx`
- `frontend/src/components/ProductMarketing/ProposalReview.tsx`
- All product studio components

---

#### Task 1.5: Update Frontend Navigation (0.5 days)

**Goal**: Clear separation in UI navigation

**Actions**:

1. **Update `ProductMarketingDashboard.tsx`**:
   - Rename to `CampaignCreatorDashboard.tsx`
   - Update title to "Campaign Creator"
   - Keep campaign-related journeys only

2. **Create `ProductMarketingDashboard.tsx`** (NEW):
   - New dashboard focused on product assets
   - Show: Product Photoshoot, Animation, Video, Avatar studios
   - Simple, focused UI

3. **Update `App.tsx` routes**:
   ```typescript
   // Campaign Creator routes
   <Route path="/campaign-creator" element={<CampaignCreatorDashboard />} />
   
   // Product Marketing routes
   <Route path="/product-marketing" element={<ProductMarketingDashboard />} />
   <Route path="/product-marketing/photoshoot" element={<ProductPhotoshootStudio />} />
   <Route path="/product-marketing/animation" element={<ProductAnimationStudio />} />
   <Route path="/product-marketing/video" element={<ProductVideoStudio />} />
   <Route path="/product-marketing/avatar" element={<ProductAvatarStudio />} />
   ```

**Files to Create**:
- `frontend/src/components/ProductMarketing/ProductMarketingDashboard.tsx` (NEW - focused on products)

**Files to Rename**:
- `ProductMarketingDashboard.tsx` → `CampaignCreatorDashboard.tsx`

**Files to Modify**:
- `frontend/src/App.tsx` (Update routes)

---

#### Task 1.6: Update Documentation (0.5 days)

**Goal**: Update docs to reflect separation

**Actions**:
- Update all documentation references
- Create separate docs for Campaign Creator and Product Marketing
- Update API documentation

**Deliverable**: Clear separation complete, both modules functional

**Total Time**: 6 days

---

## 🎯 Priority 2: Build Intelligent Prompt System

### Goal

Create an intelligent prompt builder that infers requirements from minimal user input (1-2 sentences) using onboarding data extensively.

### Implementation Tasks

#### Task 2.1: Create IntelligentPromptBuilder Service (3 days)

**Location**: `backend/services/product_marketing/intelligent_prompt_builder.py`

**Features**:
1. **Input Analysis**: Parse minimal user input to extract:
   - Product type
   - Use case (e-commerce, marketing, etc.)
   - Platform (Shopify, Amazon, Instagram, etc.)
   - Asset type (image, video, animation)
   - Style preferences

2. **Onboarding Data Integration**:
   - Use ALL onboarding data (not just brand DNA)
   - Website analysis (writing style, target audience, brand colors)
   - Persona data (core persona, platform personas)
   - Competitor analysis (differentiation points)

3. **Template Selection**:
   - Match user input to appropriate templates
   - Use templates as defaults

4. **Smart Defaults Generation**:
   - Pre-fill all form fields
   - Generate complete configuration

**Implementation**:

```python
class IntelligentPromptBuilder:
    def infer_requirements(
        self, 
        user_input: str, 
        user_id: str,
        asset_type: Optional[str] = None
    ) -> Dict[str, Any]:
        """
        Infer complete requirements from minimal user input.
        
        Example:
        Input: "iPhone case for my store"
        Output: {
            "product_name": "iPhone case",
            "product_type": "phone_case",
            "use_case": "ecommerce",
            "platform": "shopify",  # From onboarding
            "environment": "studio",  # From brand DNA
            "background_style": "white",  # E-commerce standard
            "lighting": "studio",  # From brand DNA
            "style": "photorealistic",  # From brand DNA
            "variations": 5,  # From templates
            "resolution": "1024x1024",  # E-commerce standard
            "template_id": "ecommerce_product_photoshoot"  # Matched template
        }
        """
        # 1. Analyze user input
        parsed_input = self._parse_user_input(user_input)
        
        # 2. Get onboarding data
        onboarding_data = self._get_onboarding_data(user_id)
        
        # 3. Infer requirements
        requirements = self._infer_from_context(parsed_input, onboarding_data)
        
        # 4. Match template
        template = self._match_template(requirements, asset_type)
        
        # 5. Generate smart defaults
        defaults = self._generate_defaults(requirements, template, onboarding_data)
        
        return defaults
```

**Files to Create**:
- `backend/services/product_marketing/intelligent_prompt_builder.py`

**Files to Modify**:
- `backend/services/product_marketing/product_image_service.py` (Use IntelligentPromptBuilder)
- `backend/services/product_marketing/product_animation_service.py` (Use IntelligentPromptBuilder)
- `backend/services/product_marketing/product_video_service.py` (Use IntelligentPromptBuilder)
- `backend/services/product_marketing/product_avatar_service.py` (Use IntelligentPromptBuilder)

---

#### Task 2.2: Add Natural Language Processing (2 days)

**Goal**: Better parsing of user input

**Implementation**:
- Use LLM to parse user input (few-shot prompting)
- Extract entities: product name, product type, use case, platform
- Handle variations: "for my store" → e-commerce, "for Instagram" → social media

**Files to Modify**:
- `backend/services/product_marketing/intelligent_prompt_builder.py`

---

#### Task 2.3: Integrate with Product Studios (2 days)

**Goal**: Use intelligent prompts in all product studios

**Actions**:
1. Update Product Photoshoot Studio to use intelligent prompts
2. Update Product Animation Studio to use intelligent prompts
3. Update Product Video Studio to use intelligent prompts
4. Update Product Avatar Studio to use intelligent prompts

**Files to Modify**:
- `frontend/src/components/ProductMarketing/ProductPhotoshootStudio/ProductPhotoshootStudio.tsx`
- `frontend/src/components/ProductMarketing/ProductAnimationStudio/ProductAnimationStudio.tsx`
- `frontend/src/components/ProductMarketing/ProductVideoStudio/ProductVideoStudio.tsx`
- `frontend/src/components/ProductMarketing/ProductAvatarStudio/ProductAvatarStudio.tsx`

**Deliverable**: Users can provide minimal input, AI infers everything else

**Total Time**: 7 days

---

## 🎯 Priority 3: Simplify UI for Non-Tech Users

### Goal

Replace technical terms with simple language, add tooltips, examples, and help text throughout.

### Implementation Tasks

#### Task 3.1: Create Terminology Mapping (1 day)

**Goal**: Map technical terms to simple language

**Mapping**:
- "Campaign Blueprint" → "Marketing Campaign"
- "Asset Nodes" → "Content Pieces" or "Assets"
- "KPI" → "How will you measure success?"
- "Brand DNA" → "Your Brand Style"
- "Channel Pack" → "Platform Settings"
- "Phase Management" → "Campaign Timeline"
- "Asset Proposals" → "Content Ideas"
- "Orchestration" → "Campaign Planning"

**Files to Create**:
- `frontend/src/utils/terminology.ts` (Terminology mapping utility)

---

#### Task 3.2: Update Component Text (2 days)

**Goal**: Replace all technical terms in UI components

**Files to Modify**:
- `frontend/src/components/ProductMarketing/CampaignWizard.tsx`
- `frontend/src/components/ProductMarketing/ProposalReview.tsx`
- `frontend/src/components/ProductMarketing/ProductMarketingDashboard.tsx`
- All product studio components

**Changes**:
- Replace all technical terms using terminology mapping
- Update labels, placeholders, helper text
- Update button text, titles, descriptions

---

#### Task 3.3: Add Tooltips and Help Text (2 days)

**Goal**: Add tooltips explaining every field

**Implementation**:
- Use Material-UI Tooltip component
- Add `Info` icon next to fields
- Show tooltip on hover/click

**Example**:
```typescript
<TextField
  label="Campaign Goal"
  helperText="What do you want to achieve with this campaign?"
  InputProps={{
    endAdornment: (
      <Tooltip title="Examples: Launch a new product, increase brand awareness, drive sales">
        <InfoIcon />
      </Tooltip>
    )
  }}
/>
```

**Files to Modify**:
- All form components in Campaign Creator
- All form components in Product Marketing

---

#### Task 3.4: Add Examples (1 day)

**Goal**: Show examples for each field

**Implementation**:
- Add example chips/buttons below fields
- Click example to fill field
- Show "Example:" text

**Example**:
```typescript
<TextField label="Product Name" />
<Box sx={{ mt: 1 }}>
  <Typography variant="caption" color="text.secondary">Examples:</Typography>
  <Stack direction="row" spacing={1} sx={{ mt: 0.5 }}>
    <Chip label="iPhone 15 Pro" size="small" onClick={() => setProductName("iPhone 15 Pro")} />
    <Chip label="Wireless Headphones" size="small" onClick={() => setProductName("Wireless Headphones")} />
  </Stack>
</Box>
```

**Files to Modify**:
- Campaign Wizard form fields
- Product studio form fields

---

#### Task 3.5: Add Visual Previews (2 days)

**Goal**: Show preview of what will be generated

**Implementation**:
- Add preview section in forms
- Show mockup/preview based on selections
- Update preview as user changes options

**Files to Modify**:
- Campaign Wizard (show campaign preview)
- Product studios (show asset preview)

**Deliverable**: UI is non-tech friendly with clear guidance

**Total Time**: 8 days

---

## 🎯 Priority 4: Create Product Marketing Quick Mode

### Goal

Add "Quick Product Images" workflow - one-click generation with minimal input.

### Implementation Tasks

#### Task 4.1: Create Quick Mode API Endpoint (1 day)

**Location**: `backend/routers/product_marketing.py`

**Endpoint**: `POST /api/product-marketing/quick/generate`

**Request**:
```python
class QuickGenerateRequest(BaseModel):
    user_input: str  # "iPhone case for my store"
    asset_type: str  # "image", "video", "animation"
```

**Response**:
```python
class QuickGenerateResponse(BaseModel):
    assets: List[Dict]  # Generated assets
    configuration: Dict  # Used configuration
```

**Implementation**:
- Use IntelligentPromptBuilder to infer requirements
- Generate assets automatically
- Return results

**Files to Modify**:
- `backend/routers/product_marketing.py` (Add endpoint)
- `backend/services/product_marketing/intelligent_prompt_builder.py` (Use in endpoint)

---

#### Task 4.2: Create Quick Mode UI Component (2 days)

**Location**: `frontend/src/components/ProductMarketing/QuickMode.tsx`

**Features**:
- Simple text input: "What do you need?"
- One-click generate button
- Show generated assets
- Option to "Generate more" or "Customize"

**Files to Create**:
- `frontend/src/components/ProductMarketing/QuickMode.tsx`

**Files to Modify**:
- `frontend/src/components/ProductMarketing/ProductMarketingDashboard.tsx` (Add Quick Mode card)

---

#### Task 4.3: Add Quick Mode to Dashboard (0.5 days)

**Goal**: Make Quick Mode easily accessible

**Actions**:
- Add prominent "Quick Mode" card at top of Product Marketing Dashboard
- Show as primary option for new users

**Files to Modify**:
- `frontend/src/components/ProductMarketing/ProductMarketingDashboard.tsx`

**Deliverable**: Users can generate assets with minimal input

**Total Time**: 3.5 days

---

## 🎯 Priority 5: Enhance Personalization

### Goal

Use ALL onboarding data to personalize experience, pre-fill forms, show recommendations.

### Implementation Tasks

#### Task 5.1: Enhance Onboarding Data Usage (2 days)

**Goal**: Use all onboarding fields, not just brand DNA

**Actions**:
1. Extract more fields from onboarding:
   - Industry → Pre-select relevant templates
   - Target audience → Pre-select channels
   - Content preferences → Pre-select asset types
   - Platform preferences → Pre-select platforms

2. Create `PersonalizationService`:
   ```python
   class PersonalizationService:
       def get_user_preferences(self, user_id: str) -> Dict:
           # Get ALL onboarding data
           # Extract preferences
           # Return personalized defaults
   ```

**Files to Create**:
- `backend/services/product_marketing/personalization_service.py`

**Files to Modify**:
- `backend/services/product_marketing/intelligent_prompt_builder.py` (Use PersonalizationService)
- All product studios (Pre-fill forms)

---

#### Task 5.2: Pre-fill Forms with Smart Defaults (2 days)

**Goal**: Forms auto-populate based on onboarding

**Implementation**:
- Product Photoshoot Studio: Pre-fill environment, style, background based on brand DNA
- Campaign Creator: Pre-select channels based on platform personas
- Show personalized recommendations

**Files to Modify**:
- All product studio components
- Campaign Wizard component

---

#### Task 5.3: Show Personalized Recommendations (1 day)

**Goal**: Show recommendations based on user profile

**Implementation**:
- "Recommended for you" section
- Show templates matching user's industry
- Show channels matching user's platform personas

**Files to Modify**:
- Product Marketing Dashboard
- Campaign Creator Dashboard

**Deliverable**: Highly personalized experience

**Total Time**: 5 days

---

## 🎯 Priority 6: Add User Walkthrough

### Goal

Add first-time user onboarding with step-by-step guidance.

### Implementation Tasks

#### Task 6.1: Install Walkthrough Library (0.5 days)

**Library**: React Joyride or Reactour

**Installation**:
```bash
npm install react-joyride
```

**Files to Modify**:
- `frontend/package.json`

---

#### Task 6.2: Create Walkthrough Steps (1 day)

**Goal**: Define walkthrough steps for each module

**Steps for Product Marketing**:
1. Welcome message
2. Explain Quick Mode
3. Show product studios
4. Explain templates
5. Show asset library

**Steps for Campaign Creator**:
1. Welcome message
2. Explain campaign wizard
3. Show proposal review
4. Explain asset generation
5. Show campaign dashboard

**Files to Create**:
- `frontend/src/utils/walkthroughs/productMarketingSteps.ts`
- `frontend/src/utils/walkthroughs/campaignCreatorSteps.ts`

---

#### Task 6.3: Integrate Walkthrough (1 day)

**Goal**: Add walkthrough to dashboards

**Implementation**:
- Add Joyride component to dashboards
- Show walkthrough on first visit
- Add "Show tour" button for returning users

**Files to Modify**:
- `frontend/src/components/ProductMarketing/ProductMarketingDashboard.tsx`
- `frontend/src/components/ProductMarketing/CampaignCreatorDashboard.tsx`

**Deliverable**: Users get guided tour on first visit

**Total Time**: 2.5 days

---

## 📊 Implementation Timeline

### Week 1: Separation & Foundation
- **Days 1-2**: Task 1.1 - Reorganize backend folder structure
- **Day 3**: Task 1.2 - Rename classes and services
- **Day 4**: Task 1.3 - Update API routes
- **Day 5**: Task 1.4 - Update frontend hooks and components

### Week 2: Separation & Intelligence
- **Day 1**: Task 1.5 - Update frontend navigation
- **Day 2**: Task 1.6 - Update documentation
- **Days 3-5**: Task 2.1 - Create IntelligentPromptBuilder service

### Week 3: Intelligence & Simplification
- **Days 1-2**: Task 2.2 - Add natural language processing
- **Days 3-4**: Task 2.3 - Integrate with product studios
- **Day 5**: Task 3.1 - Create terminology mapping

### Week 4: Simplification & Quick Mode
- **Days 1-2**: Task 3.2 - Update component text
- **Days 3-4**: Task 3.3 - Add tooltips and help text
- **Day 5**: Task 3.4 - Add examples

### Week 5: Quick Mode & Personalization
- **Days 1-2**: Task 3.5 - Add visual previews
- **Day 3**: Task 4.1 - Create Quick Mode API endpoint
- **Days 4-5**: Task 4.2 - Create Quick Mode UI component

### Week 6: Personalization & Walkthrough
- **Day 1**: Task 4.3 - Add Quick Mode to dashboard
- **Days 2-3**: Task 5.1 - Enhance onboarding data usage
- **Days 4-5**: Task 5.2 - Pre-fill forms with smart defaults

### Week 7: Final Polish
- **Day 1**: Task 5.3 - Show personalized recommendations
- **Days 2-3**: Task 6.1-6.3 - Add user walkthrough
- **Days 4-5**: Testing and bug fixes

**Total Timeline**: 7 weeks (35 working days)

---

## 📋 Success Metrics

### User Experience Metrics
- **Time to First Asset**: < 2 minutes (currently ~10 minutes)
- **User Confusion**: < 10% (currently ~40%)
- **Completion Rate**: > 80% (currently ~50%)
- **User Satisfaction**: > 4.5/5 (currently ~3.5/5)

### Technical Metrics
- **AI Calls per Asset**: < 2 (currently ~5)
- **User Input Required**: < 20 words (currently ~100 words)
- **Personalization Score**: > 80% (currently ~40%)

---

## 🎯 Next Steps

1. **Review and approve** this implementation plan
2. **Prioritize** which priorities to tackle first
3. **Assign** tasks to team members
4. **Start** with Priority 1 (Complete separation) - 6 days
5. **Then** Priority 2 (Intelligent prompts) - 7 days
6. **Then** Priority 3 (Simplify UI) - 8 days
7. **Continue** with remaining priorities

---

*Document Version: 1.0*  
*Last Updated: January 2025*  
*Status: Ready for Implementation*
