Multi-Agent Handoff Design: Coordination Patterns for Production AI Systems
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.
Multi-Agent Systems
Multi-Agent Handoff Design: Coordination Patterns for Production AI Systems
Most multi-agent failures don’t happen inside an individual agent’s reasoning — they happen at the handoff, the moment one agent...
AI Agents Fundamentals
Best Open-Source LLMs for AI Agents in 2026
A practical comparison of open-weight LLMs for agentic workflows in 2026, by coding ability, license, context length, and what hardware you need to run them.
AI Agents Fundamentals
Best AI Coding Agents in 2026: Claude Code vs Cursor vs Copilot
A developer-focused comparison of the best AI coding agents in 2026, by workflow fit and real cost rather than benchmark hype.
AI Systems (Agents + RAG)
Prompt Version Control System for Production AI Workflows
Control production prompts with version IDs, test cases, change logs, evaluation scores, rollback paths, and deployment stages.
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.
