# π Token Usage Comparison Chart
## Adding a Single Function
### Traditional Method (Full File Edit)
```
βββββββββββββββββββββββββββββββββββββββββββ
β SEND ENTIRE FILE TO AI β
β βββββββββββββββββββββββββββββββββββββ β 850 tokens
β (All 41 lines of user_service.rs) β
βββββββββββββββββββββββββββββββββββββββββββ
β
βββββββββββββββββββββββββββββββββββββββββββ
β AI RETURNS ENTIRE MODIFIED FILE β
β βββββββββββββββββββββββββββββββββββββ β 900 tokens
β (Now 45 lines with new function) β
βββββββββββββββββββββββββββββββββββββββββββ
**Total: 1,750 tokens** π±
### Smart Edit Method (Surgical Edit)
```
βββββββββββββββββββββββββββββββββββββββββββ
β SEND ONLY THE CHANGE β
β ββββββββββββββββββββββββββββββββββββββ β 35 tokens
β { β
β "operation": "InsertFunction", β
β "name": "delete_user", β
β "after": "get_user", β
β "body": "..." β
β } β
βββββββββββββββββββββββββββββββββββββββββββ
β
βββββββββββββββββββββββββββββββββββββββββββ
β CONFIRMATION β
β βββββββββββββββββββββββββββββββββββββ β 5 tokens
β "Success" β
βββββββββββββββββββββββββββββββββββββββββββ
**Total: 40 tokens** π
## Batch Operations Comparison
### Traditional: Multiple Round Trips
```
Round 1: Add Import ββββββββββββββββ 800 tokens (full file)
Round 2: Add Function ββββββββββββββββ 850 tokens (full file)
Round 3: Update Function ββββββββββββββββ 900 tokens (full file)
Round 4: Add Error Type ββββββββββββββββ 950 tokens (full file)
Total: 3,500 tokens π
```
### Smart Edit: Single Request
```
Batch Operation { ββββββββββββββββ 120 tokens
edits: [
AddImport,
InsertFunction,
ReplaceFunction,
InsertClass
]
}
Total: 120 tokens π
```
## Savings by Operation Type
| Operation | Traditional | Smart Edit | Savings |
|-----------|------------|------------|---------|
| Add Function | 850-900 tokens | 30-40 tokens | 95% |
| Update Function | 800-850 tokens | 40-50 tokens | 94% |
| Add Import | 300-400 tokens | 15-20 tokens | 93% |
| Extract Function | 900-1000 tokens | 50-60 tokens | 94% |
| Batch (5 ops) | 4000+ tokens | 150-200 tokens | 96% |
## Visual Token Bar Chart
```
Traditional Method:
ββββββββββββββββββββββββββββββββββββββββ 100%
Smart Edit Method:
ββββββββββββββββββββββββββββββββββββββββ 5%
95% Reduction!
```
## Cost Implications
Assuming $0.01 per 1K tokens:
| Scenario | Traditional Cost | Smart Edit Cost | Savings |
|----------|-----------------|-----------------|---------|
| Single Edit | $0.018 | $0.0004 | $0.0176 |
| 10 Edits/Day | $0.18 | $0.004 | $0.176 |
| 100 Edits/Day | $1.80 | $0.04 | $1.76 |
| Monthly (3000) | $54.00 | $1.20 | $52.80 |
## Why This Matters
1. **Speed**: Less data = faster API calls
2. **Cost**: 95% fewer tokens = 95% lower API costs
3. **Accuracy**: No risk of AI changing unrelated code
4. **Scale**: Edit 100 files as cheaply as traditionally editing 5
---
*"Efficiency isn't just about speedβit's about doing more with less."*
Smart Tree: Where every token counts! π―β¨