AI Ops
Running AI systems in production
Human-in-the-Loop for AI Products: When the Model Decides and When a Person Does
Tutorials AI OpsA decision-making framework for HITL in AI products: confidence thresholds, risk matrix, escalation patterns. Production-ready implementation examples with code.
Prompt A/B Testing: a scientific approach to improving AI response quality
Tutorials AI OpsMethodology for A/B testing prompts: quality metrics, statistical significance, tools (Langfuse, DeepEval). Step-by-step guide from hypothesis to production decision.
Prompt Engineering System: Managing 50+ Prompts in Production
Tutorials AI OpsHow to build a prompt management system: versioning, testing, A/B deployment, regression monitoring. Practical patterns and tools for production.
Multi-Agent Architecture Patterns: When One AI Isn't Enough
Tutorials AI OpsMulti-agent system architecture patterns for production: Sequential Pipeline, Parallel Fan-Out, Classifier+Router orchestration, task routing, agent specialization with code examples.
LLM-as-Judge: Automated Quality Gate for LLM Outputs in Production
Tutorials AI OpsHow to use LLM-as-Judge for automated LLM output evaluation. Metrics, judge prompts, DeepEval, Langfuse integration, and CI/CD pipeline setup.