A consulting-grade presentation AI agent that turns ideas into structured, data-driven decks.
TypeScript
Next.js
React
Tailwind CSS
LLM API
RAG
Agent System Design
Agent Eval
Context Engineering
Hi, I'm Alfred Lin
AI product and Agent practitioner focused on the system-level collaboration between technology, product, and business.
AL
About
I'm Alfred, from Taipei, Taiwan. I study Law and Computer Science at Tsinghua, focused on agent products and systems engineering.
At Manus, I worked on Product & Agent across user research, scenario definition, and capability iteration, pushing systems toward reliable delivery.
My specialization is agent eval, agent system design, and context engineering, with an emphasis on building evaluable and shippable systems.
My guiding word is Emancipate: let systems absorb repetitive work, so people can focus on judgment and creation.
Work Experience
Skills
Python
HTML
CSS
JavaScript
Agent Eval
Agentic Engineering
Context Engineering
AI Product
System Thinking
My Projects
check out my latest work
I've built projects across content platforms, AI products, and full-stack web apps, including hands-on work with LLM, Agent, and RAG systems.
My Blog
latest 4 blog posts
A quick selection of my latest writing and field notes.
Field notes and patterns for prompting agentic systems effectively, drawn from Claude Code and my own production experience.
Blog
Why context, not just model size, determines whether an LLM product holds up in production.
Blog
Why Model Context Protocol matters: a practical explanation of how MCP standardizes access between LLMs, tools, and external systems.
Blog
My reading notes on Nexus and why AI may become the first information technology capable of becoming a node inside civilization itself.
Blog