Usage Dashboard
The Usage Dashboard provides visibility into AI usage across all your Enterprise seats.
Dashboard URL: getredline.io/usage
Accessing the Dashboard
- Navigate to getredline.io/usage
- Enter your Enterprise license key (master key or seat key)
- Click View Usage
Dashboard Overview
The Usage Dashboard displays:
Header Information
- License key (partially masked)
- License tier (Enterprise)
- Time period selector (7, 30, or 90 days)
Summary Statistics
| Metric | Description |
|---|---|
| Total Tokens | Combined input + output tokens |
| Input Tokens | Tokens sent to the AI (prompts, context) |
| Output Tokens | Tokens received from the AI (responses) |
| Requests | Number of API requests made |
Daily Usage Chart
A bar chart showing token usage over time:
- X-axis: Date
- Y-axis: Token count
- Bars: Split by input (prompt) and output (completion) tokens
Hover over bars to see exact values for each day.
Usage by Seat
A table breaking down usage per seat:
| Column | Description |
|---|---|
| Seat | Seat number |
| User | Email/identifier (if known) |
| Input Tokens | Prompt tokens used |
| Output Tokens | Completion tokens used |
| Total Tokens | Combined token count |
| Requests | Number of API requests |
Understanding Token Usage
What are Tokens?
Tokens are the units AI models use to process text. Roughly:
- 1 token = ~4 characters in English
- 100 tokens = ~75 words
- 1,000 tokens = ~750 words
Input vs Output Tokens
| Type | Description | Cost Factor |
|---|---|---|
| Input (Prompt) | What you send to the AI: your message, selected nodes, conversation history | Lower cost |
| Output (Completion) | What the AI responds with: answers, created content | Higher cost |
What Consumes Tokens?
- Chat messages - Your prompts and AI responses
- Context injection - Selected nodes added to prompts
- Tool usage - AI using research tools
- Summaries - AI-generated summaries for nodes and narratives
- RSS filtering - AI evaluating article relevance
Time Period Selection
View usage for different periods:
| Period | Use Case |
|---|---|
| Last 7 days | Recent activity, spot unusual patterns |
| Last 30 days | Monthly usage, align with billing |
| Last 90 days | Long-term trends, capacity planning |
AI Budget
Enterprise seats have a monthly AI budget:
| Parameter | Value |
|---|---|
| Budget per seat | $8/month |
| Reset date | Monthly from activation |
| Currency | USD (based on model pricing) |
Understanding Budget Consumption
The budget translates to tokens based on which AI models are used. Approximate tokens per $1:
| Model | Input Tokens/$ | Output Tokens/$ |
|---|---|---|
| Claude Sonnet 4 | ~333K | ~66K |
| Claude 3.5 Haiku | ~1M | ~200K |
| GPT-4 Turbo | ~100K | ~33K |
Cheaper models (like Haiku) stretch your budget further.
Budget Warnings
- 80% usage - Users see a warning in Redline
- 100% usage - AI features pause until next month
- Reset - Budget resets monthly from license activation
Monitoring Best Practices
Weekly Check-ins
Review usage weekly to:
- Identify power users who may need guidance
- Spot unusual patterns (potential abuse)
- Plan for capacity needs
Monthly Reports
At month end:
- Compare against budget
- Identify seats with low usage (might not need all seats)
- Track trends over time
Set Expectations
Communicate with team members:
- AI budget per seat
- What counts as usage
- When budget resets
Frequently Asked Questions
Is usage real-time?
Usage data may be delayed by up to 5 minutes. The dashboard shows approximate values.
Can I see individual requests?
No. The dashboard shows aggregate usage only. Individual prompts and responses are not visible for privacy.
What happens when budget is exceeded?
AI features pause for that seat until the next billing period. Core app functionality (boards, nodes, connections) continues to work.
Can I get more budget?
Contact sales@getredline.io for custom budget arrangements.
Why do some seats show zero usage?
The seat may:
- Not be activated yet
- Be using local AI (Ollama) instead of cloud AI
- Have their own API keys configured (bypasses managed AI)
- Simply not have used AI features in the selected period
How do I reduce usage?
Tips for efficient AI usage:
- Use shorter, focused prompts
- Select fewer nodes when chatting
- Use faster/cheaper models when possible
- Avoid unnecessary regeneration of summaries
- Limit RSS feed polling frequency