Token Tracking and Cost Optimization in MyPosts

Understanding Token Usage

Tokens are the basic units that AI models use to process text. In MyPosts, every generated tweet consumes tokens, and different models have varying costs per token.

Real-Time Token Tracking

MyPosts provides comprehensive token tracking features:

Dashboard Metrics

• Current month usage: Total tokens consumed
• Cost breakdown: By model and operation type
• Usage trends: Daily and weekly patterns
• Remaining budget: Based on your limits

Per-Generation Tracking

Each content generation shows:

• Input tokens (your prompt)
• Output tokens (generated content)
• Total cost for the operation
• Model used and pricing tier

Token Costs by Model

Most Economical Options

1. Claude 3 Haiku: $0.25/$1.25 per million tokens
2. GPT-3.5 Turbo: $0.50/$1.50 per million tokens

Mid-Range Options

1. Claude 3.5 Sonnet: $3/$15 per million tokens
2. Grok Beta: $5/$15 per million tokens

Premium Options

1. GPT-4 Turbo: $10/$30 per million tokens
2. Claude 3 Opus: $15/$75 per million tokens

Cost Optimization Strategies

1. Model Selection Strategy

Tiered Approach:

• Simple tweets: Use Haiku or GPT-3.5
• Standard content: Use Sonnet or Grok
• Complex threads: Reserve Opus or GPT-4

Example Savings: Switching from Opus to Haiku for simple posts can reduce costs by 98%.

2. Prompt Optimization

Concise Prompts: Shorter prompts use fewer input tokens

• Bad: "Please create a tweet about artificial intelligence and how it's changing the world"
• Good: "Tweet about AI impact"

Template Usage: Reuse successful prompt templates

• Store effective prompts
• Minimize experimentation costs

3. Batch Generation

Generate multiple posts in one session:

• Reduces API call overhead
• Better token utilization
• Bulk pricing advantages

4. Content Length Management

Character Limits:

• Set maximum lengths for different content types
• Avoid unnecessary regeneration
• Use concise language settings

5. Smart Scheduling

Off-Peak Generation:

• Pre-generate content during low-usage periods
• Build content buffer for busy times
• Avoid rush generation at premium costs

Setting Usage Limits

Monthly Limits

Configure spending caps:

• Token limits: Set maximum tokens per month
• Cost limits: Set maximum spend in dollars
• Alert thresholds: Get notified at 50%, 75%, 90%

Per-Operation Limits

Control individual operations:

• Maximum tokens per generation
• Thread length restrictions
• Regeneration attempt limits

Monitoring and Alerts

Usage Alerts

Receive notifications for:

• Approaching monthly limits
• Unusual usage spikes
• High-cost operations
• Budget threshold crossing

Usage Reports

Weekly and monthly reports showing:

• Token consumption by model
• Cost breakdown by feature
• Efficiency metrics
• Optimization opportunities

Practical Examples

Small Account (1,000 tweets/month)

• Use 90% Haiku, 10% Sonnet
• Estimated cost: $5-10/month
• Average 50 tokens per tweet

Medium Business (5,000 tweets/month)

• Use 70% Haiku, 25% Sonnet, 5% GPT-4
• Estimated cost: $30-50/month
• Mix of simple and complex content

Agency/Enterprise (20,000+ tweets/month)

• Use 60% Haiku, 30% Sonnet, 10% Premium
• Estimated cost: $150-300/month
• Includes threads and complex content

Token-Saving Tips

1. Reuse successful content: Save and repurpose high-performing tweets
2. Use topic libraries: Pre-defined topics reduce prompt tokens
3. Avoid regeneration: Review before regenerating
4. Batch similar content: Generate related posts together
5. Monitor anomalies: Investigate unexpected token spikes

ROI Calculation

Track your return on investment:

• Cost per generated tweet
• Engagement per dollar spent
• Follower growth vs. token costs
• Time saved vs. manual creation

With proper token tracking and optimization, most users see 70-80% cost reduction while maintaining content quality!