Improving & Scaling LLMs for Coaching

Situated Practice Systems: Improving and Scaling Coaching through LLMs Authors: Terry Chen, Allyson Lee Abstract Effective coaching in project-based learning environments is critical for developing students’ self-regulation skills, yet scaling high-quality coaching remains a challenge. This paper presents an LLM-enhanced coaching system designed to support project-based learning by helping connect peers struggling with the same regulation gap, and to help coaches by identifying regulation gaps and generating tailored practice suggestions. Our system integrates vector-based semantic matching with LLM-generated regulation gap categorizations for Context Assessment Plan (CAP) notes. Results demonstrate that our system effectively retrieves relevant coaching cases, reducing the cognitive burden on mentors while maintaining high-quality, context-aware feedback. ...

August 15, 2024 • 📖 4 min read • Terry Chen

Recommendation Systems

Building Intelligent Content Discovery: A Multi-Modal Recommendation System for Podcast Consumption Modern content platforms face a fundamental challenge: how to help users discover relevant, high-quality content that matches their interests while avoiding the trap of information overload. This challenge becomes particularly acute in podcast consumption, where users need to find content that not only aligns with their interests but also fits different consumption contexts and scenarios. An ideal recommendation system addresses these core problems through a sophisticated approach that combines content-based filtering, collaborative filtering, and contextual understanding to create a truly personalized discovery experience. ...

July 10, 2024 • 📖 9 min read • Terry Chen

TikTok Symphony Assistant

Leverage generative AI capabilities for creative script ideation and video ad creation. (Worked on agentic workflows and interface optimization) https://ads.tiktok.com/business/copilot/standalone?locale=en&deviceType=pc Credits: TikTok Creative Team Building Agentic Workflows From LLMs to Agents The transition from LLMs to Agents has become a consensus in the AI community, representing an improvement in complex task execution capabilities. However, helping users fully utilize Agent capabilities to achieve tenfold efficiency gains requires careful workflow design. These workflows aren’t merely a presentation of parallel capabilities, but seamless integrations with human-in-the-loop quality assurance. This document uses Typeface as a reference to explain why a clear primary workflow is necessary, as well as design approaches for functional extensions. ...

May 20, 2024 • 📖 10 min read • Terry Chen

TikTok Insights Spotlight

Analyze thousands of tiktoks to provide actionable trends & insights for key agencies. (Worked on multi-modal content understanding) To be released on TikTok Creative Center (https://ads.tiktok.com/business/creativecenter/pc/en) Credits: TikTok Creative Team TikTok Insight Spotlight Launches at Advertiser Summit Jun 3 - Excited to share that TikTok Insight Spotlight, a product I worked on during my time at TikTok, was officially unveiled at the company’s annual advertiser summit on June 3rd, 2025. The Verge covered the launch extensively, highlighting the AI-driven capabilities I helped develop. ...

April 10, 2024 • 📖 11 min read • Terry Chen

Marrrket: AI Listing Secondhand Marketplace

Marrrket is an AI-powered second-hand marketplace platform targeting North American university students, initially focusing on Chinese international students. The platform aims to solve the inefficiency in the current second-hand market by simplifying the listing process through AI-generated product descriptions from images and minimal user input. By reducing friction in the listing process, Marrrket will increase the overall volume of second-hand items available in the market, creating a more efficient marketplace for both buyers and sellers. The platform’s innovation centers on using artificial intelligence to dramatically lower the barrier to entry for sellers, which is hypothesized to be the primary constraint on market growth. ...

March 20, 2024 • 📖 10 min read • Terry Chen

Tech History

Exploring the evolution of technology and its impact on society Understanding the past is crucial for shaping the future. By studying the evolution of technology, from early computing to modern AI systems, we can better understand how technological innovations have transformed society and anticipate future developments. This theme explores key technological milestones, their societal impacts, and the lessons we can learn from them.

March 19, 2024 • 📖 1 min read • Terry Chen

Cogno: Multi-agent AI for Sales Automation

Multi-agent system for cross boarder e-commerce sales automation. Co-founder and head of product. https://cognogpt.com Cogno+ is dedicated to revolutionizing global e-commerce by empowering brands with AI-driven assistance that offers seamless, personalized customer experiences. Our mission is to serve as the digital bridge between brands and customers, enhancing interactions and transactions across international markets, and allowing the brand to increase conversion and upsell while reducing time and money spent on manual customer service. ...

March 1, 2024 • 📖 3 min read • Terry Chen

Gauth AI

AI Homework helper with advanced reasoning and visualization for all school subjects. (Worked on LLM Reasoning) https://www.gauthmath.com/ Credits: Lexi Ling, Gauth Team

August 20, 2023 • 📖 1 min read • Terry Chen

Multi-agent LLM Systems

Developing capable multi-agent systems for complex reasoning and human-AI collaboration Single-agent AI systems have limitations in handling complex tasks that require diverse perspectives and specialized knowledge. Multi-agent architectures can enable more sophisticated reasoning, problem-solving, and collaboration capabilities.

August 20, 2023 • 📖 1 min read • Terry Chen

Data Insights

Extracting meaningful insights from unstructured multi-modal content Most times, the challenge isn’t collecting information but extracting value from it. By developing systems that can analyze unstructured multi-modal content (text, images, video, audio), we can extract actionable insights.

August 18, 2023 • 📖 1 min read • Terry Chen