Systems
I don't showcase projects.
I document systems.
Each system is designed around constraints, failure modes, and long-term behavior — not surface-level features.
Multi-Agent Editorial Engine
AI-assisted editorial pipeline with zero fabricated content and full human control.
Content Momentum Engine
Automated content intelligence that turns raw metrics into editorial strategy.
Subscriber Lifecycle Engine
Revenue intelligence that predicts churn and optimizes subscriber lifetime value.
Multi-Agent Editorial Engine
AI-assisted editorial pipeline with zero fabricated content and full human control.
- Process regional news at scale with editorial rigor
- Filter irrelevant content automatically
- Verify facts and sources before publication
- Maintain journalistic standards with AI assistance
- Deliver publication-ready content to human editors
Previous process
Architecture over tools.
Content Momentum Engine
Automated content intelligence that turns raw metrics into editorial strategy.
- Track content performance at scale across hundreds of daily articles
- Identify which content drives disproportionate value (Pareto principle)
- Eliminate misleading comparisons from mismatched time windows
- Monitor regional content coverage and engagement patterns
- Understand temporal performance to optimize publishing strategy
- Measure premium content effectiveness separately from free articles
- Detect performance anomalies automatically
- Transform raw data into editorial decisions
Previous process
Designed to degrade gracefully.
Subscriber Lifecycle Engine
Revenue intelligence that predicts churn and optimizes subscriber lifetime value.
- Track revenue across multiple billing cycles (monthly, annual, multi-year, lifetime)
- Calculate recurring revenue metrics accurately despite plan complexity
- Identify churn patterns before cancellations materialize
- Predict renewal probabilities for proactive retention
- Monitor subscriber lifetime value across entire journeys
- Compare growth fairly across different time periods
- Provide actionable business intelligence for strategic planning
Previous process
Design Philosophy
What guides every system.
Constraints define architecture
Limitations create clarity, not restriction.
Simplicity beats cleverness
Readable systems outlast clever ones.
Observability > automation
Understand before you automate.
Degrade gracefully
Failures are expected. Silent failures are not.
Human judgment preserved
AI assists decisions. Humans make them.
What I don’t do
If it doesn’t compound, it doesn’t belong.
Want to design a system?
We'll talk in systems, not tools.
More systems will be documented here as they are built. This page evolves — because systems do.