How Jason Liu Teaches Codex to Run Your Computer

Jason Liu reveals how Codex’s memory vault, assistant threads, and looping workflows let AI automate full computer tasks. Perfect for developers.

Curious how an AI can run your computer for you? Jason Liu walks you through turning Codex into a personal assistant.

⚡ TL;DR: Jason Liu demos Codex’s memory vault, assistant threads, and looping workflows to automate complex computer tasks.

The Simple Version

Think of Codex as a digital intern that can remember past work, talk to itself, and keep going until the job’s done.

Codex stores facts in a memory vault so it doesn’t forget earlier steps.

🎯 Think of it this way: Like a notebook you keep on your desk for reference.

Threads are separate AI processes that can be prompted to collaborate.

🎯 Think of it this way: Like a team of specialists passing notes.

Loops let the AI repeat actions until a condition is met.

🎯 Think of it this way: Like a chef tasting a sauce repeatedly until it’s perfect.

Using the Agents SDK, developers create threads with defined goals and hand them a shared memory store.

Each thread calls the OpenAI API to execute code, read files, or trigger webhooks.

Loops are built by checking a completion signal and re‑invoking the thread with updated context.

🎯 Think of it this way: Like a robot that keeps tightening bolts until the torque sensor says “done”.

Automating repetitive computer tasks frees developers to focus on creative problem‑solving.

Long‑running workflows become reliable, opening doors for AI‑driven DevOps and data pipelines.

Early adopters can prototype complex applications without writing endless boilerplate.