AI Engineering19 min read
Designing memory systems for AI agentic applications
Learn how to architect production-ready memory systems for AI agents. Deep dive into short-term buffers, semantic retrieval, episodic learning, and plan...
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136 posts in total
AI Engineering8 min read
Domain-specific voice flows: building the guardrails
Learn how to build constrained voice agents that follow strict business processes using state machines and slot filling. Create domain-specific flows fo...
AI Engineering7 min read
Multi-agent voice systems: the warm transfer
Learn how to build multi-agent voice systems with clean handoffs between specialized agents. Understand warm transfers, context preservation, and shared...
AI Engineering7 min read
Voice conversation memory: why your bot forgets who you are
Learn how to manage conversation memory in voice AI systems. Explore sliding windows, async summarization, and structured state extraction to balance co...
AI Engineering7 min read
Voice AI fundamentals: the 500ms threshold
Learn how to build real-time voice agents with sub-500ms latency using WebRTC streaming pipelines. Understand VAD, STT, LLM, and TTS integration for nat...
AI Engineering8 min read
Browser automation: building agents that see and click
How browser works in production. Learn how to build AI agents that can navigate the modern web using vision models and accessibility trees. Move from read-
AI Engineering7 min read
Workflow orchestration with LangGraph
Learn how to build agentic workflows with LangGraph using nodes, edges, and shared state. Move from simple chains to cyclic state machines that can loop...
AI Engineering7 min read
Human-in-the-loop: when AI needs human oversight
Learn how to build Human-in-the-Loop (HITL) workflows with state persistence, breakpoints, and feedback injection. Design safe AI systems that can pause...
AI Engineering8 min read
Multi-agent coordination patterns: beyond the god agent
Learn how to coordinate specialized AI agents using three fundamental patterns: The Chain, The Router, and The Supervisor. Move from monolithic prompts...
AI Engineering7 min read
RAG optimization: speed, cost, and quality
Learn how to optimize RAG agents by balancing speed, cost, and quality. Understand asymmetric model design, parallel retrieval, and re-ranking strategie...
AI Engineering7 min read
Multi-hop RAG: when one retrieval isn't enough
Learn how to build multi-hop RAG agents that can decompose complex queries into sub-questions and chain multiple retrieval steps. Understand query decom...
AI Engineering7 min read
Production RAG: handling edge cases and failures
Learn how to build resilient RAG agents that handle API timeouts, tool failures, and real-world chaos. Understand fallback strategies, retries, and grac...
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Built by Param Harrison
Cofounder of AEOsome.com and Chief Mentor at learnwithparam.com with 14+ years building production systems. I've trained 50+ engineers on AI engineering - these programs distill what actually works into structured paths you can follow at your own pace.
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