Only 1 in 1,600 People Use Codex. Here's How to Catch Up.
TL;DR
Codex changes the unit of work: Nate says his token usage exploded to 300 million to 500 million tokens a day because he stopped asking for answers and started assigning whole jobs like reading folders, rendering documents, using websites, and checking outputs.
The real pattern is a 'chief of staff thread': Instead of scattering work across random chats, he keeps one persistent thread pointed at a goal, its sources, artifacts, standards, and next steps so the AI becomes a home base for the project.
Goals beat prompts: Codex gets much better when you define the objective, sources, quality bar, permissions, and proof of completion, then tell it not to stop at the first plausible draft.
Skills make corrections compound: A one-off fix is just a chat, but turning repeated corrections into reusable skills, checklists, or workflows creates a system that improves over time across documents, research, dashboards, and support work.
A personal work dashboard is a killer example: He describes building a custom heads-up display that watches sources like Slack, email, and browser-based tools, reprioritizes what matters every 15 or 30 minutes, and surfaces the work that needs attention.
Power needs boundaries: Nate stresses using .env files for secrets, limiting write or publish permissions, and requiring receipts like logs, renders, tests, and command output so agentic work stays inspectable instead of turning into hype.
The Breakdown
Half a billion tokens a day sounds absurd until you realize the real shift: Codex is turning the computer itself into an agent that can take full jobs, not just answer prompts. Nate B Jones argues this is the biggest change in computing in 40 years, because files, browsers, documents, and apps are becoming something you can hand off in plain English.
Was This Useful?
Share
Keep Reading
Make Alcreon Yours
Tune your feedFive quick questions, and the feed ranks what matters to you first.Or just get notified
The weekly Echo. Signal worth keeping in your inbox.
Every new piece, announced on X.
Read Next
See all
Playbook
Cheap Models, Hard Tasks
Most agent workflows route every step to the frontier model by default. The bill scales with how chatty the agent gets, even when most steps don't need that brain.

Playbook
Tasteful Skills
“Tasteful Skills” argues that the best agent skills are not documentation or best-practice lists.

Playbook
The Art of Tasteful Prompting
Learn how tasteful prompting helps you move beyond generic AI output by shaping context, style, and judgment from the start.