Jason Liu

A reflection on taste, style, attention, and why AI makes the ability to notice matter more than ever.

A simple rule for choosing between Scheduled Tasks and Scheduled Messages in Codex.

When to use Computer Use, Chrome, or the in-app browser in Codex.

A simple way to teach Codex through an AI-powered morning brief that grows into automations, project threads, drafted work, and memory vaults.

How I use Codex as a place where long-running work can live.

My top albums and artists from Spotify — and what the mix actually says about taste.

Sunsetting 567 Labs, closing the courses today, and open sourcing the written content from transcripts as ebooks.

A list of things I've been using and plan to use.

Guest lecture with John Berryman on traditional search techniques, their application in RAG systems, and how lexical search complements semantic search

How Glean achieves 20% search performance improvements through customer-specific embedding models, unified data architecture, and smart feedback loops that most enterprise AI companies are missing.

Practical approaches to enhancing retrieval quality through fine-tuning, re-ranking, and understanding trade-offs in RAG systems

Insights from Eli Badgio, CTO of Extend, on mapping document workflows, building task-specific evaluations, and implementing partial automation with human-in-the-loop approaches for 95%+ extraction accuracy.

A deep dive into generative benchmarking - creating custom evaluation sets from your own data to better assess embedding model performance.

A deep dive into why multi-agent systems might not be the optimal approach for coding contexts, exploring context engineering, challenges of context passing between agents, and how single agents with proper context management can outperform multi-agent se…

Insights from Colin Flaherty on building autonomous coding agents and how agentic approaches reshape retrieval-augmented generation systems.

Technical session with Anton from ChromaDB on text chunking fundamentals, evaluation methods, and practical tips for improving retrieval performance

How to successfully apply LLMs in specialized industries by building domain‑expert review loops, augmenting prompts with expert knowledge, and earning customer trust.

Comprehensive guide to building, improving, and scaling RAG systems.

Deep insights from the teams behind Devin, Amp, Cline, and Augment on building effective coding agents.

A letter to the readers of the AI Coding Accelerator.