Active Sprint
Sprint 5
Feb 15 — Feb 28, 2026
156
Total
6
Backlog
2
In Progress
1
In Review
3
🌹 Founder
141
Done
The Front Office
🏀 Where Pieces Move and Epics Are Built
All Tickets
Complete ticket overview with all details
| ID | Title | Agent | State | Sprint | Priority | Progress |
|---|
Agent Roster
Performance metrics and workload distribution
🏛️ The Strategy Map
Your playbook for victory — every play, every player, every path to the finish line
The Scouting Report
⚽ System Health, Quality Gates & AI Compliance Metrics
— — — — — — — — — — — — — — —
🎯 Purpose: Monitor codebase health, track quality improvements, ensure compliance with AI safety standards, and maintain transparency in our engineering practices.
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System Health Score
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Target: 85/100 | Baseline: 67.4
📍 Baseline (67.4) — Our starting point
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🎯 Target (85) — Where we want to be
📈 Tickets Improving Health Score
EPIC-014: Foundation Fortification | EPIC-015: Operational Maturity
🛠️ Tech Stack
Python 3.12
Core runtime
DuckDB
Analytics database
Pandas + NumPy
Data processing
scikit-learn
K-means clustering
GitHub Actions
CI/CD automation
GitHub Pages
Dashboard hosting
🤖 AI Agent Stack
Claude Opus 4.6
Primary LLM
14 Specialized Agents
Role-based architecture
8-Step Task Loop
Quality governance
5 Veto Rights
Florentino, Kanté, Flower, KDB, Mourinho
Mission Control
Task tracking
Constitution v2.2
Binding governance
📊 Industry Benchmarks
97%
Anthropic AI Safety
Responsible AI development, safety guidelines, transparency standards
90%
Microsoft Responsible AI
Fairness, reliability, privacy, inclusiveness principles
82%
Google ML Best Practices
ML lifecycle management, model cards, testing practices
🔄 Automation Coverage
95%
Pre-commit Hooks
Ruff linting & formatting, trailing whitespace, file checks
95%
GitHub Actions CI/CD
Linting, type checking, pytest with coverage, artifact uploads
90%
Output Generation Pipeline
Stat packs, depth charts, predicted XIs auto-generation
90%
Dashboard Deployment
GitHub Pages auto-deploy on push to main branch
90%
Data Ingestion Pipeline
Incremental ingestion, transaction boundaries, backup/recovery
85%
Automated Testing
Unit + integration + edge case tests (251 tests), 70% coverage floor enforced in CI
⚡ Active Workflows
🔴 Known Gaps (System Audit)
✅
Test Coverage %
DONE - pytest-cov in CI
✅
Type Checking (mypy)
DONE - CI added
✅
Model Explainability (SHAP)
DONE - shap_explainer.py
✅
Production Dashboard
DONE - Token Accounting added
✅
Token Accounting
DONE - Usage metrics, pace analysis
📚 Resources & Documentation
🏛️ Governance
📋 Product
⚙️ Technical
🎭 Agent Files
💰 Token Accounting & Usage
⭐ Claude Max Plan--
Tokens Used
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Sessions
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Avg Daily
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Days Left
Monthly Token Budget
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Sprint Token Budget
Approved by Founder
Sprint 5 Budget
APPROVED 2026-02-14
500K
Total Budget
14
Agents
~35.7K
Per Agent Avg
0 tokens used
500,000 budget
Per-Agent Token Allocation (Role-Weighted)
| Agent | Role | Allocation | Used |
|---|---|---|---|
| Tom Brady | PO / Editor | 50,000 | -- |
| Stephen Curry | Analytics Lead | 50,000 | -- |
| Andy Flower | Cricket Domain | 45,000 | -- |
| Brock Purdy | Data Pipeline | 40,000 | -- |
| Brad Stevens | Architecture | 40,000 | -- |
| Jose Mourinho | Quant Research | 40,000 | -- |
| Ime Udoka | ML Ops | 35,000 | -- |
| Kevin De Bruyne | Visualization | 35,000 | -- |
| N'Golo Kante | QA / Integrity | 35,000 | -- |
| Virat Kohli | Tone & Narrative | 30,000 | -- |
| LeBron James | Social | 25,000 | -- |
| Pep Guardiola | Retro & CI | 25,000 | -- |
| Jayson Tatum | UX & Reader Flow | 25,000 | -- |
| Florentino Perez | Program Director | 25,000 | -- |
| Total | 500,000 | -- | |
Sprint 4 Usage Summary (Jan 31 - Feb 14)
171
Tickets Done
90%
Completion
~497K
Tokens (I/O)
92.0
Health Score
Session Activity Timeline
The Commentary Box
Today's Innings Report
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Usage Pace Analysis
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Model Usage Breakdown
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Input vs Output Breakdown
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5-Hour Rolling Window
How It Works
Claude Max enforces a 5-hour rolling usage limit. Tokens from older requests expire gradually, freeing capacity.
0-1h
Counts fully
1-2h
Counts fully
2-3h
Counts fully
3-4h
Decaying
4-5h
Expiring
Strategy: Space out heavy sessions. If you hit a rate limit, wait ~1 hour for oldest tokens to expire and capacity to free up.
Optimization Tips
Use Haiku for simple code searches and file reads
Batch related questions into single prompts
Use /compact mode for routine tasks
Leverage agent specialization to reduce context
Billing Cycle
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