Personal Notes
- Before RL: 30-50 CVs (Quick Mode recommended)
- After RL: 10-20 CVs per batch, 3-5 iterations
Estimated tokens per CV:
- Input: ~7,000 tokens (prompts + PDF content × 2)
- Output: ~3,000 tokens (JSON + extracted text)
Cost per CV: ~$0.0125 (about 1.25 cents)
---
Total Cost Breakdown
Before RL (Baseline)
| CVs | Input Cost | Output Cost | Total |
|-----|------------|-------------|-------|
| 30 | $0.11 | $0.27 | $0.38 |
| 40 | $0.14 | $0.36 | $0.50 |
| 50 | $0.18 | $0.45 | $0.63 |
After RL (Iterative Training)
| Batches | CVs | Input Cost | Output Cost | Total |
|---------|-----|------------|-------------|-------|
| 3 × 10 | 30 | $0.11 | $0.27 | $0.38 |
| 4 × 15 | 60 | $0.21 | $0.54 | $0.75 |
| 5 × 20 | 100 | $0.35 | $0.90 | $1.25 |
---
Complete Training Pipeline Cost
| Scenario | Before RL | After RL | Grand Total |
|-------------|----------------|-----------------|-------------|
| Minimal | 30 CVs ($0.38) | 30 CVs ($0.38) | $0.76 |
| Recommended | 40 CVs ($0.50) | 60 CVs ($0.75) | $1.25 |
| Thorough | 50 CVs ($0.63) | 100 CVs ($1.25) | $1.88 |
💡 Cost Optimization Tips
1. Use Quick Mode: Tournament Mode (3 agents) costs 3x more (~$3.75 total)
2. Batch processing: Your bulk_evaluation.py with --workers 3 processes efficiently
3. Context caching: Gemini 3 Flash includes free context caching (90% savings on repeated content)
4. Free tier: Google AI Studio includes free quota that might cover your entire training!
Bottom line: Your entire RL training pipeline will cost $1-2 in total using Quick Mode. Very affordable! 🎯when to use it
Community prompt sourced from the open-source GitHub repo lorenzo-leprotti/Global-ATS-Bridge (MIT). A "Personal Notes" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
roleplaycommunitygeneral
source
lorenzo-leprotti/Global-ATS-Bridge · MIT