Claude Cowork
Work side by side on a live problem using Anthropic’s Cowork—or learn how to set up and use the platform on your own work.
live / teachAI systems / education / implementation
Technical systems, made ownable.
Live, side-by-side work in Claude Cowork or OpenAI Codex, platform tutoring, and deeper AI consulting for people who want to understand the system they use.
- $350
- Hourly rate
- 01
- Hour minimum
- Live
- Working mode
- Direct
- With Travis
Working modes
Two platforms / deeper work
OpenAI Codex
Bring a real coding or systems problem into Codex. Build side by side, or learn the platform through a guided working session.
build / teachAI consulting
Connect strategy, prototypes, documentation, and team learning so a promising idea becomes an ownable system.
teams / deeperS.02
Working method
One question → one move → one rule
From one stuck problem to an ownable system.
Deeper consulting starts the same way as a Cowork or Codex session: with the real work. The scope can grow into strategy, prototypes, documentation, or team learning only after the system is visible.
- 01 / QuestionBring one real question
Name the work, the constraint, and what useful progress would look like.
- 02 / InspectOpen the current system
Trace the actual workflow before adding advice, automation, or another tool.
- 03 / MakeChange one bounded thing
Build, test, or rehearse the next move together while the reasoning stays visible.
- 04 / OwnWrite the next rule
Leave with a working artifact and enough understanding to make the next decision.
Claude Cowork
Work or learn side by side$350 / hourOpenAI Codex
Build or learn side by side$350 / hourDeeper consulting
Make the system ownableScoped after the first sessionQ.01
Reasonable skepticism
Am I qualified?
Don’t take the landing page’s word for it.
Travis is a full professor, designer, artist, and systems builder. The teaching, applied work, writing, and studio practice behind Human Readable are public. Inspect the receipts.
Open channel / no public inbox
Begin with a real question.
Tell Travis what you are trying to do, where the work gets stuck, and what you need to understand or own next. A short note is enough. Public email addresses are scraper food, so the first message goes through LinkedIn.
Message Travis on LinkedIn