# 🚀 Shamra AI Playground - Launch Plan

## Executive Summary

A phased launch strategy for Shamra AI Playground ("Write with AI") to maximize user adoption while controlling costs and gathering feedback for iterative improvements.

---

## 📅 Launch Phases

### Phase 1: Private Alpha (Week 1-2)
**Goal:** Internal testing and bug fixing

| Aspect | Details |
|--------|---------|
| Users | 10-15 internal team members |
| Duration | 2 weeks |
| Features | All features enabled |
| Limits | Unlimited (for testing) |
| Focus | Bug discovery, UX feedback |

### Phase 2: Closed Beta (Week 3-6)
**Goal:** Validate with power users, gather feedback

| Aspect | Details |
|--------|---------|
| Users | 100-200 selected users |
| Duration | 4 weeks |
| Features | All features with feedback prompts |
| Limits | 50 AI operations/day |
| Focus | Feature validation, usage patterns |

**User Selection Criteria for Beta:**
- Active researchers (>10 publications on Shamra)
- Premium/verified accounts
- Users who requested AI features (support tickets)
- Academic partners and institutions
- Geographic diversity (Syria, Gulf, Egypt, etc.)

### Phase 3: Soft Launch (Week 7-10)
**Goal:** Gradual rollout with waitlist

| Aspect | Details |
|--------|---------|
| Users | 1,000-2,000 users (waitlist) |
| Duration | 4 weeks |
| Features | Tiered access based on plan |
| Limits | Free: 10/day, Trial: 30/day |
| Focus | Monetization validation |

### Phase 4: Public Launch (Week 11+)
**Goal:** Full availability with pricing

| Aspect | Details |
|--------|---------|
| Users | All registered users |
| Features | Full feature set |
| Limits | Based on subscription tier |
| Focus | Growth and revenue |

---

## 💰 Pricing Strategy

### Tier Structure

```
┌─────────────────────────────────────────────────────────────────────┐
│                         PRICING TIERS                                │
├─────────────┬─────────────┬─────────────┬─────────────┬─────────────┤
│   Feature   │    Free     │   Starter   │    Pro      │ Institution │
├─────────────┼─────────────┼─────────────┼─────────────┼─────────────┤
│ Price/month │    $0       │    $9       │    $29      │   Custom    │
├─────────────┼─────────────┼─────────────┼─────────────┼─────────────┤
│ AI Credits  │    100      │   1,000     │   5,000     │  Unlimited  │
│ /month      │             │             │             │             │
├─────────────┼─────────────┼─────────────┼─────────────┼─────────────┤
│ Projects    │     3       │    10       │  Unlimited  │  Unlimited  │
├─────────────┼─────────────┼─────────────┼─────────────┼─────────────┤
│ Reference   │   100 MB    │   500 MB    │    2 GB     │    10 GB    │
│ Storage     │             │             │             │             │
├─────────────┼─────────────┼─────────────┼─────────────┼─────────────┤
│ ArXiv Search│    5/day    │   20/day    │  Unlimited  │  Unlimited  │
├─────────────┼─────────────┼─────────────┼─────────────┼─────────────┤
│ GPT Model   │   GPT-4o    │   GPT-4o    │  GPT-5.2    │   GPT-5.2   │
│             │   mini      │             │             │             │
├─────────────┼─────────────┼─────────────┼─────────────┼─────────────┤
│ Export      │    PDF      │  PDF, DOCX  │  All + LaTeX│    All      │
├─────────────┼─────────────┼─────────────┼─────────────┼─────────────┤
│ Priority    │     -       │   Email     │   Chat      │  Dedicated  │
│ Support     │             │             │             │             │
└─────────────┴─────────────┴─────────────┴─────────────┴─────────────┘
```

### Credit System

Each AI operation costs credits:

| Operation | Credits | Estimated Azure Cost |
|-----------|---------|---------------------|
| Generate paragraph (short) | 1 | ~$0.002 |
| Generate paragraph (long) | 2 | ~$0.005 |
| Rephrase text | 1 | ~$0.002 |
| Translate (per 500 words) | 1 | ~$0.001 |
| Proofread | 1 | ~$0.002 |
| Ask AI question | 2 | ~$0.004 |
| Criticize/Review | 3 | ~$0.008 |
| ArXiv search | 2 | ~$0.005 |
| Verify reference | 1 | ~$0.003 |
| Summarize document | 3 | ~$0.010 |

**Cost Analysis:**
- Free tier (100 credits) ≈ $0.20-0.30 Azure cost/user/month
- Starter (1,000 credits) ≈ $2-3 Azure cost/user/month
- Pro (5,000 credits) ≈ $10-15 Azure cost/user/month

### Special Offers

1. **Beta Tester Reward:** 3 months Pro free for beta participants
2. **Student Discount:** 50% off with .edu email verification
3. **Annual Plan:** 2 months free (pay for 10, get 12)
4. **Referral Program:** 100 credits per referred user who signs up

---

## 🎯 User Selection Strategy

### Beta User Scoring System

```python
# User Selection Algorithm
def calculate_beta_score(user):
    score = 0
    
    # Activity Score (0-30 points)
    score += min(user.publications_count * 2, 20)
    score += min(user.login_days_last_month, 10)
    
    # Engagement Score (0-25 points)
    score += 10 if user.has_complete_profile else 0
    score += 5 if user.is_verified else 0
    score += min(user.community_posts * 2, 10)
    
    # Value Score (0-25 points)
    score += 15 if user.is_premium else 0
    score += 10 if user.institution_verified else 0
    
    # Diversity Score (0-20 points)
    score += get_geographic_diversity_bonus(user.country)
    score += get_field_diversity_bonus(user.research_field)
    
    return score

# Select top 200 users with score > 50
```

### Invitation Waves

| Wave | Users | Criteria | Timeline |
|------|-------|----------|----------|
| Wave 1 | 50 | Score > 80, Premium users | Week 3 |
| Wave 2 | 50 | Score > 60, Active researchers | Week 4 |
| Wave 3 | 50 | Score > 50, Diverse geography | Week 5 |
| Wave 4 | 50 | Waitlist signups | Week 6 |

---

## 📊 Usage Monitoring & Cost Control

### Database Schema for Usage Tracking

```sql
-- Add to migrations
CREATE TABLE playground_usage (
    id INT AUTO_INCREMENT PRIMARY KEY,
    user_id INT NOT NULL,
    operation_type VARCHAR(50) NOT NULL,
    credits_used INT NOT NULL,
    tokens_input INT DEFAULT 0,
    tokens_output INT DEFAULT 0,
    model_used VARCHAR(50),
    latency_ms INT,
    success BOOLEAN DEFAULT TRUE,
    error_message TEXT,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    
    INDEX idx_user_date (user_id, created_at),
    INDEX idx_operation (operation_type, created_at),
    FOREIGN KEY (user_id) REFERENCES user(id)
);

CREATE TABLE user_credits (
    id INT AUTO_INCREMENT PRIMARY KEY,
    user_id INT NOT NULL UNIQUE,
    monthly_credits INT DEFAULT 100,
    used_credits INT DEFAULT 0,
    bonus_credits INT DEFAULT 0,
    reset_date DATE,
    tier VARCHAR(20) DEFAULT 'free',
    
    FOREIGN KEY (user_id) REFERENCES user(id)
);

CREATE TABLE usage_alerts (
    id INT AUTO_INCREMENT PRIMARY KEY,
    alert_type VARCHAR(50) NOT NULL,
    threshold_value DECIMAL(10,2),
    current_value DECIMAL(10,2),
    alert_sent BOOLEAN DEFAULT FALSE,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
```

### Real-time Monitoring Dashboard

Create admin endpoint: `/admin/playground/dashboard`

**Metrics to Track:**
1. **Daily/Weekly/Monthly:**
   - Total API calls
   - Total tokens consumed
   - Estimated Azure cost
   - Unique active users
   - Average latency

2. **Per User:**
   - Credits used vs allocated
   - Most used features
   - Error rates

3. **Cost Alerts:**
   - Daily budget threshold (e.g., $50/day)
   - Weekly budget threshold (e.g., $300/week)
   - Per-user anomaly detection

### Azure Cost Monitoring Integration

```php
// src/Service/Playground/UsageMonitorService.php

class UsageMonitorService
{
    private const DAILY_BUDGET_USD = 50;
    private const WEEKLY_BUDGET_USD = 300;
    private const MONTHLY_BUDGET_USD = 1000;
    
    // Token costs (approximate)
    private const COST_PER_1K_INPUT_TOKENS = 0.005;  // GPT-4o
    private const COST_PER_1K_OUTPUT_TOKENS = 0.015; // GPT-4o
    private const COST_PER_1K_INPUT_TOKENS_MINI = 0.00015;  // GPT-4o-mini
    private const COST_PER_1K_OUTPUT_TOKENS_MINI = 0.0006;  // GPT-4o-mini
    
    public function trackUsage(
        int $userId, 
        string $operation, 
        int $inputTokens, 
        int $outputTokens,
        string $model
    ): void {
        // Calculate cost
        $cost = $this->calculateCost($inputTokens, $outputTokens, $model);
        
        // Log to database
        $this->logUsage($userId, $operation, $inputTokens, $outputTokens, $cost);
        
        // Check budgets
        $this->checkBudgetAlerts();
        
        // Update user credits
        $this->deductCredits($userId, $this->getCreditsForOperation($operation));
    }
    
    public function checkBudgetAlerts(): void
    {
        $dailyCost = $this->getDailyCost();
        $weeklyCost = $this->getWeeklyCost();
        
        if ($dailyCost > self::DAILY_BUDGET_USD * 0.8) {
            $this->sendAlert('daily_warning', $dailyCost);
        }
        
        if ($dailyCost > self::DAILY_BUDGET_USD) {
            $this->sendAlert('daily_exceeded', $dailyCost);
            $this->enableEmergencyMode(); // Restrict to paid users only
        }
    }
    
    public function canUserMakeRequest(int $userId): array
    {
        $credits = $this->getUserCredits($userId);
        
        if ($credits['used'] >= $credits['monthly'] + $credits['bonus']) {
            return [
                'allowed' => false,
                'reason' => 'monthly_limit_reached',
                'reset_date' => $credits['reset_date']
            ];
        }
        
        // Check global emergency mode
        if ($this->isEmergencyMode() && !$this->isPaidUser($userId)) {
            return [
                'allowed' => false,
                'reason' => 'service_capacity',
                'message' => 'High demand. Upgrade to Pro for priority access.'
            ];
        }
        
        return ['allowed' => true, 'credits_remaining' => $credits['remaining']];
    }
}
```

### Rate Limiting Implementation

```php
// Add to PlaygroundController

private function checkRateLimit(int $userId): void
{
    $key = "playground_rate:{$userId}";
    $limit = $this->getUserRateLimit($userId); // Based on tier
    
    $current = $this->redis->incr($key);
    if ($current === 1) {
        $this->redis->expire($key, 86400); // Reset daily
    }
    
    if ($current > $limit) {
        throw new RateLimitExceededException(
            "Daily limit of {$limit} requests reached. Resets at midnight."
        );
    }
}

private function getUserRateLimit(int $userId): int
{
    $tier = $this->userService->getUserTier($userId);
    
    return match($tier) {
        'free' => 10,
        'starter' => 100,
        'pro' => 500,
        'institution' => 10000,
        default => 10
    };
}
```

---

## 📧 Personalized Newsletter System

### Newsletter Database Schema

```sql
CREATE TABLE newsletter_campaigns (
    id INT AUTO_INCREMENT PRIMARY KEY,
    name VARCHAR(255) NOT NULL,
    subject_template TEXT NOT NULL,
    body_template TEXT NOT NULL,
    target_segment VARCHAR(100),
    status ENUM('draft', 'scheduled', 'sending', 'sent') DEFAULT 'draft',
    scheduled_at TIMESTAMP,
    sent_at TIMESTAMP,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

CREATE TABLE newsletter_personalizations (
    id INT AUTO_INCREMENT PRIMARY KEY,
    campaign_id INT NOT NULL,
    user_id INT NOT NULL,
    personalized_subject TEXT,
    personalized_body TEXT,
    ai_generated BOOLEAN DEFAULT FALSE,
    sent_at TIMESTAMP,
    opened_at TIMESTAMP,
    clicked_at TIMESTAMP,
    
    FOREIGN KEY (campaign_id) REFERENCES newsletter_campaigns(id),
    FOREIGN KEY (user_id) REFERENCES user(id)
);
```

### AI-Powered Personalization Service

```php
// src/Service/Newsletter/AIPersonalizationService.php

class AIPersonalizationService
{
    public function generatePersonalizedEmail(User $user, Campaign $campaign): array
    {
        $userContext = $this->buildUserContext($user);
        
        $prompt = <<<PROMPT
You are writing a personalized email for Shamra Academia's new AI Writing Assistant launch.

User Profile:
- Name: {$userContext['name']}
- Research Field: {$userContext['field']}
- Recent Activity: {$userContext['activity']}
- Publications: {$userContext['publications']}
- Language Preference: {$userContext['language']}

Campaign Template:
Subject: {$campaign->getSubjectTemplate()}
Body: {$campaign->getBodyTemplate()}

Task: Personalize this email for the user. 
- Reference their research field naturally
- Mention how AI features can help their specific work
- Keep the same structure but make it feel personal
- Write in {$userContext['language']}

Return JSON:
{
    "subject": "personalized subject line",
    "body": "personalized email body in HTML",
    "highlights": ["feature1 relevant to user", "feature2"]
}
PROMPT;

        $response = $this->azureOpenAI->simpleCompletionSLM($prompt);
        return json_decode($response, true);
    }
    
    private function buildUserContext(User $user): array
    {
        return [
            'name' => $user->getFirstName() ?: 'Researcher',
            'field' => $user->getResearchField() ?: 'Academic Research',
            'activity' => $this->getUserActivitySummary($user),
            'publications' => $user->getPublications()->count(),
            'language' => $user->getPreferredLanguage() ?: 'ar'
        ];
    }
    
    private function getUserActivitySummary(User $user): string
    {
        $activities = [];
        
        if ($user->getPublications()->count() > 0) {
            $recent = $user->getPublications()->last();
            $activities[] = "Recently published: {$recent->getTitle()}";
        }
        
        if ($user->getCommunityPosts()->count() > 0) {
            $activities[] = "Active in community discussions";
        }
        
        return implode('. ', $activities) ?: 'New to Shamra';
    }
}
```

### Email Templates

#### Beta Invitation Email (Arabic)

```html
<!-- templates/emails/beta_invitation_ar.html.twig -->
<!DOCTYPE html>
<html dir="rtl" lang="ar">
<head>
    <meta charset="UTF-8">
    <style>
        body { font-family: 'Tajawal', Arial, sans-serif; direction: rtl; }
        .container { max-width: 600px; margin: 0 auto; padding: 20px; }
        .header { background: linear-gradient(135deg, #6366f1, #8b5cf6); color: white; padding: 30px; border-radius: 12px 12px 0 0; }
        .content { background: #f8fafc; padding: 30px; }
        .cta-button { display: inline-block; background: #10b981; color: white; padding: 15px 30px; border-radius: 8px; text-decoration: none; font-weight: bold; }
        .feature-box { background: white; padding: 15px; margin: 10px 0; border-radius: 8px; border-right: 4px solid #6366f1; }
    </style>
</head>
<body>
    <div class="container">
        <div class="header">
            <h1>🎉 دعوة خاصة للانضمام إلى الإصدار التجريبي</h1>
            <p>مساعد الكتابة بالذكاء الاصطناعي من شمرا</p>
        </div>
        <div class="content">
            <p>مرحباً {{ user.firstName|default('باحثنا العزيز') }}،</p>
            
            <p>{{ personalized_intro }}</p>
            
            <p>يسرنا دعوتك لتجربة <strong>ساحة البحث الذكية</strong> - أداة الكتابة الأكاديمية المدعومة بالذكاء الاصطناعي.</p>
            
            <h3>ما الذي ستحصل عليه:</h3>
            
            <div class="feature-box">
                <strong>✨ توليد النصوص الأكاديمية</strong>
                <p>اكتب مقدمات، فقرات، وخلاصات بأسلوب أكاديمي احترافي</p>
            </div>
            
            <div class="feature-box">
                <strong>🔍 البحث في ArXiv</strong>
                <p>ابحث في ملايين الأبحاث العلمية بالعربية والإنجليزية</p>
            </div>
            
            <div class="feature-box">
                <strong>📚 مكتبة المراجع الشخصية</strong>
                <p>نظّم مراجعك واحصل على اقتباسات جاهزة بجميع الأنماط</p>
            </div>
            
            <div class="feature-box">
                <strong>🌐 الترجمة الأكاديمية</strong>
                <p>ترجم نصوصك مع الحفاظ على المصطلحات العلمية</p>
            </div>
            
            <p style="text-align: center; margin: 30px 0;">
                <a href="{{ activation_link }}" class="cta-button">
                    ابدأ التجربة المجانية الآن
                </a>
            </p>
            
            <p><strong>عرض خاص للمختبرين:</strong> استخدام مجاني لمدة 3 أشهر من الباقة الاحترافية!</p>
            
            <p>نتطلع لسماع ملاحظاتك القيمة.</p>
            
            <p>مع أطيب التحيات،<br>فريق شمرا أكاديميا</p>
        </div>
    </div>
</body>
</html>
```

#### Beta Invitation Email (English)

```html
<!-- templates/emails/beta_invitation_en.html.twig -->
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <style>
        body { font-family: 'Inter', Arial, sans-serif; }
        .container { max-width: 600px; margin: 0 auto; padding: 20px; }
        .header { background: linear-gradient(135deg, #6366f1, #8b5cf6); color: white; padding: 30px; border-radius: 12px 12px 0 0; text-align: center; }
        .content { background: #f8fafc; padding: 30px; }
        .cta-button { display: inline-block; background: #10b981; color: white; padding: 15px 30px; border-radius: 8px; text-decoration: none; font-weight: bold; }
        .feature-box { background: white; padding: 15px; margin: 10px 0; border-radius: 8px; border-left: 4px solid #6366f1; }
    </style>
</head>
<body>
    <div class="container">
        <div class="header">
            <h1>🎉 Exclusive Beta Invitation</h1>
            <p>Shamra AI Writing Assistant</p>
        </div>
        <div class="content">
            <p>Hello {{ user.firstName|default('Researcher') }},</p>
            
            <p>{{ personalized_intro }}</p>
            
            <p>We're excited to invite you to try <strong>Smart Research Playground</strong> - our AI-powered academic writing assistant.</p>
            
            <h3>What you'll get:</h3>
            
            <div class="feature-box">
                <strong>✨ AI Academic Writing</strong>
                <p>Generate introductions, paragraphs, and conclusions in professional academic style</p>
            </div>
            
            <div class="feature-box">
                <strong>🔍 ArXiv Integration</strong>
                <p>Search millions of research papers in Arabic and English</p>
            </div>
            
            <div class="feature-box">
                <strong>📚 Personal Reference Library</strong>
                <p>Organize your references with instant citations in all major formats</p>
            </div>
            
            <div class="feature-box">
                <strong>🌐 Academic Translation</strong>
                <p>Translate your text while preserving scientific terminology</p>
            </div>
            
            <p style="text-align: center; margin: 30px 0;">
                <a href="{{ activation_link }}" class="cta-button">
                    Start Your Free Trial
                </a>
            </p>
            
            <p><strong>Beta Tester Reward:</strong> 3 months of Pro plan, completely free!</p>
            
            <p>We look forward to your valuable feedback.</p>
            
            <p>Best regards,<br>Shamra Academia Team</p>
        </div>
    </div>
</body>
</html>
```

---

## 🔄 Newsletter Campaign Workflow

### Automated Campaign Pipeline

```
┌─────────────┐     ┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│   Create    │────▶│   Select    │────▶│  Generate   │────▶│    Send     │
│  Campaign   │     │   Users     │     │  Personal   │     │   Emails    │
│             │     │             │     │   Content   │     │             │
└─────────────┘     └─────────────┘     └─────────────┘     └─────────────┘
                           │                   │                   │
                           ▼                   ▼                   ▼
                    ┌─────────────┐     ┌─────────────┐     ┌─────────────┐
                    │   Score &   │     │   AI SLM    │     │   Track     │
                    │   Filter    │     │  Generate   │     │   Opens     │
                    └─────────────┘     └─────────────┘     └─────────────┘
```

### Console Command for Campaign Execution

```php
// src/Command/SendNewsletterCommand.php

#[AsCommand(
    name: 'app:newsletter:send',
    description: 'Send personalized newsletter campaign'
)]
class SendNewsletterCommand extends Command
{
    protected function execute(InputInterface $input, OutputInterface $output): int
    {
        $campaignId = $input->getArgument('campaign_id');
        $campaign = $this->campaignRepository->find($campaignId);
        
        $users = $this->userSelector->selectUsersForCampaign($campaign);
        
        $progressBar = new ProgressBar($output, count($users));
        
        foreach ($users as $user) {
            // Generate personalized content (batch processing)
            $personalized = $this->aiPersonalization->generatePersonalizedEmail(
                $user, 
                $campaign
            );
            
            // Queue email
            $this->mailer->queueEmail(
                $user->getEmail(),
                $personalized['subject'],
                $personalized['body']
            );
            
            // Log for tracking
            $this->logPersonalization($campaign, $user, $personalized);
            
            $progressBar->advance();
            
            // Rate limit AI calls
            usleep(200000); // 200ms between calls
        }
        
        $progressBar->finish();
        return Command::SUCCESS;
    }
}
```

---

## 📈 Success Metrics & KPIs

### Launch Phase Metrics

| Phase | Primary KPI | Target | Secondary KPIs |
|-------|-------------|--------|----------------|
| Alpha | Bug count | <10 critical | Feature completion |
| Beta | DAU/MAU ratio | >30% | NPS score >40 |
| Soft Launch | Conversion rate | >5% free→paid | CAC < $10 |
| Public | MRR | $5,000 | Churn <5% |

### Dashboard Metrics to Track

1. **Usage Metrics:**
   - Daily Active Users (DAU)
   - Operations per user per day
   - Most used features
   - Feature adoption rate

2. **Cost Metrics:**
   - Azure API cost per user
   - Cost per operation type
   - Daily/Weekly/Monthly spend

3. **Business Metrics:**
   - Free to paid conversion rate
   - Monthly Recurring Revenue (MRR)
   - Customer Lifetime Value (LTV)
   - Churn rate

4. **Quality Metrics:**
   - Error rate
   - API latency (p50, p95, p99)
   - User satisfaction (NPS)

---

## 🛡️ Risk Mitigation

### Cost Overrun Protection

1. **Hard Daily Limit:** Automatically pause free tier if daily Azure cost > $100
2. **Per-User Anomaly Detection:** Flag users with >10x average usage
3. **Emergency Mode:** Switch all free users to queue-based processing
4. **Model Downgrade:** Automatically switch to GPT-4o-mini during high load

### Security Measures

1. **Rate Limiting:** Per-user, per-IP, and global
2. **Content Filtering:** Block harmful/abusive prompts
3. **API Key Rotation:** Monthly rotation of Azure API keys
4. **Audit Logging:** Full audit trail of all AI operations

---

## 📋 Launch Checklist

### Week Before Beta Launch

- [ ] Usage tracking database deployed
- [ ] Rate limiting implemented
- [ ] Credit system tested
- [ ] Beta user list finalized (200 users)
- [ ] Email templates reviewed
- [ ] AI personalization tested
- [ ] Admin dashboard functional
- [ ] Azure budget alerts configured
- [ ] Error monitoring set up (Sentry)
- [ ] Feedback form created

### Day of Beta Launch

- [ ] Send Wave 1 invitations (50 users)
- [ ] Monitor error rates
- [ ] Watch Azure cost dashboard
- [ ] Support team briefed
- [ ] Social media announcement ready

### Weekly During Beta

- [ ] Review usage patterns
- [ ] Analyze feedback
- [ ] Fix reported bugs
- [ ] Adjust rate limits if needed
- [ ] Send next wave invitations

---

## 📞 Support Plan

### Beta Support Channels

1. **In-app feedback widget** - Direct bug reports
2. **Email support** - playground-beta@shamra.sy
3. **WhatsApp group** - For Arabic-speaking beta testers
4. **Weekly office hours** - Video call Q&A sessions

### Escalation Path

```
User Issue → In-app Feedback → Support Team → Developer → CTO
     ↓              ↓               ↓            ↓
  < 24h         < 4h           < 2h        Critical
```

---

## 🎯 Go/No-Go Criteria for Public Launch

### Must Have (All required)
- [ ] Beta NPS > 30
- [ ] Error rate < 1%
- [ ] Average latency < 3 seconds
- [ ] Azure cost per user < $5/month
- [ ] Conversion rate > 3%

### Should Have (2 of 3)
- [ ] 1000+ waitlist signups
- [ ] Featured in academic newsletter
- [ ] Partnership with 1 university

---

## 📅 Timeline Summary

```
Week 1-2:   Alpha Testing (Internal)
Week 3:     Beta Wave 1 (50 power users)
Week 4:     Beta Wave 2 (50 researchers)
Week 5:     Beta Wave 3 (50 diverse users)
Week 6:     Beta Wave 4 (50 waitlist)
Week 7-10:  Soft Launch (Waitlist rollout)
Week 11:    Public Launch 🚀
Week 12+:   Growth & Iteration
```

---

*Last Updated: February 2026*
*Document Owner: Product Team*
*Review Cycle: Weekly during launch*