Cost Model: Token-Based Estimates
While this workflow is optimized for subscription-based usage (e.g., Claude Pro/Max), it is useful to understand the underlying token consumption for each agentic activity.
Resource Consumption Tiers
| Activity | Tier | Est. Tokens / Event | Reasoning Focus |
|---|---|---|---|
| Deep Research | High-Reasoning | 50k - 150k | High (Iterative Q&A) |
| Roadmap Planning | High-Reasoning | 30k - 80k | High (DAG verification) |
| Dev: Implementation | Production | 20k - 100k | Medium (Context-heavy) |
| Dev: Unit Tests | Utility / Production | 10k - 30k | Low (Pattern matching) |
| Code Review | Production | 15k - 40k | Medium (Audit trail) |
| QA / Triage | Utility | 5k - 20k | Low (Error analysis) |
Throughput Planning (Monthly)
For a solo developer spending ~10h/week on a project, the typical monthly volume is:
| Tool Category | Typical Volume | Est. Monthly Tokens |
|---|---|---|
| High-Reasoning (Planning) | ~15 sessions | 1.5M - 2.5M |
| Production (Implementation) | ~50 tasks | 2.5M - 5.0M |
| Utility (CI/CD / Background) | ~100 events | 1.0M - 2.0M |
Capacity Tracking
If you are using API-based pricing instead of subscriptions, monitor your usage via your provider's dashboard. For subscription users, track message limits per window:
Weekly capacity report:
High-Reasoning limit: [####..............] 25% (Pro window)
Production limit: [##########........] 50% (Pro window)
Utility limit: [##................] 10% (Haiku)
Optimization Tips
- Batch Context: Combine related questions into a single message to reduce redundant prompt tokens.
- Project Context: Use "Projects" or "Collections" features to upload the codebase once rather than sending it with every message.
- Model Tiering: Always use the lowest capable tier for the task (e.g., use a Utility model for generating docstrings or basic unit tests).
- Clear Scoping: Use the Deep Research phase to avoid "wasted implementation" tokens caused by ambiguous requirements.