Human Review Queue Design for AI Operations
Practical guides for building AI-powered systems: autonomous agent design, RAG architecture, multi-agent coordination, LLM tool calling, knowledge base management, AI evaluation frameworks, and security guardrails for production deployments.
AI Systems (Agents + RAG)
Human Review Queue Design for AI Operations
Design AI review queues with risk labels, evidence, reviewer actions, approval logs, escalation paths, and feedback loops.
AI Systems (Agents + RAG)
AI Retrieval Evaluation Test Set for RAG Quality
Build a RAG retrieval evaluation set with expected sources, hard negatives, freshness tests, ambiguity cases, and failure labels.
AI Systems (Agents + RAG)
Prompt Injection Guardrails for AI Agents
Build prompt injection guardrails for AI agents with tool limits, data boundaries, instruction hierarchy, review steps, and monitoring.
AI Systems (Agents + RAG)
Knowledge Base Maintenance System for RAG
Maintain RAG knowledge bases with source freshness, chunk QA, embeddings updates, retrieval tests, deletion rules, and monitoring.
AI Systems (Agents + RAG)
LLM Tool Calling: Schema Design and Error Handling
Design safer LLM tool calling with JSON schemas, validation, retries, approval steps, error handling, and monitoring for AI workflows.
AI Systems (Agents + RAG)
AI Automation Safety Checklist
A practical checklist for making AI automation workflows safer before production use.
AI Systems (Agents + RAG)
AI Agent Evaluation Framework
A practical framework for testing AI agents before using them in real workflows.
AI Systems (Agents + RAG)
RAG Pipeline Architecture for Beginners
A beginner-friendly technical playbook for building and validating a retrieval-augmented generation pipeline.
