
AI Solutions Architect
I design production AI systems — multi-agent architectures, RAG pipelines, and cloud-native GenAI infrastructure
01
MH (Frank) Tsai
AI Solutions Architect
How we built a hierarchical agent system that routes customer intents across specialized agents — and the architectural tradeoffs we made along the way.
2025 Mar 15
02
MH (Frank) Tsai
AI Solutions Architect
Combining Elasticsearch BM25 with vector embeddings for retrieval-augmented generation — what worked, what didn't, and how we tuned it.
2025 Feb 15
03
MH (Frank) Tsai
AI Solutions Architect
Discover the key differences between LLM workflows and AI agents in modern applications. Learn when to use structured workflows for regulated tasks versus autonomous agents for dynamic problem-solving. Explore real-world examples in customer service, comparing predetermined routing with adaptive decision-making.
2025 Feb 01
04
MH (Frank) Tsai
AI Solutions Architect
How we built layered safety infrastructure for a production AI platform — from input guardrails to output evaluation and continuous red-teaming.
2025 Jan 20
05
MH (Frank) Tsai
AI Solutions Architect
Three categories of LLM features that can significantly enhance client satisfaction and willingness to pay, ultimately driving business growth.
2024 Mar 15
06
MH (Frank) Tsai
AI Solutions Architect
Unlock the full potential of your website for all users with our essential Website Accessibility Checklist. This comprehensive guide focuses on key elements like keyboard navigation, focus indicators, ARIA roles, alt text for images, accessible forms, and semantic headings. Whether your visitors are using mobile devices, TVs, watches, or older tech, our checklist ensures seamless navigation and interaction for everyone. Enhance your site's accessibility and boost your SEO score by implementing these crucial accessibility features. Learn how to make your website universally accessible and user-friendly, no matter the device or context.
2023 Nov 12
The bot serves as the official chatbot for Lenny’s Newsletters. It has been trained on all of the newsletters and podcasts, and was built using ReactJs, NodeJs, and PostgreSQL + PGVector for storing the embeddings.
Built with Rust, rGPT allows you to run a pre-configured prompt in the terminal. It enables users to perform their daily GPT-related tasks through short-hand commands in their terminal.