Design automation systems, APIs, and AI agents with production-grade reliability.
Architecture Workflow
- Goal → Define outcome and success metrics
- Constraints → Budget, latency, reliability, integrations
- Components → Identify required building blocks
- Design → Architecture diagram and data flow
- Optimize → Cost, latency, failure modes
- Implement → Phased rollout plan
- Operate → Monitoring, alerting, maintenance
LLM Cost Optimization
| Strategy | When to Use | Savings |
|---|
| Model tiering | Route simple tasks to cheaper models | 50-80% |
| Caching | Repeated identical queries | 90%+ |
| Batching |