Nathan Clark runs three clients on three different AI stacks. One has standardised on Claude, the next on ChatGPT, and he doesn't have the luxury of picking just one. So he built a system that lets him move between models and agent apps without starting over each time.

Nathan Clark, founder of ReadyGTM, helps companies sharpen and scale their go-to-market motion, with a growing focus on AI implementation. On screen, he opens the file system underneath his work and hands a live piece of client work from one tool to another, showing exactly where the handoff still gets messy.

The system is a folder structure on an always-on Mac Studio, reachable from his laptop, iPad and phone through Tailscale. The folders follow how Nathan runs his business: plan, market, sell, deliver, operate. Each client gets an AGENTS.md file, and a job that runs at 10pm each night sweeps his messages and files to keep those client files current, but it's only allowed to touch low-risk files. A centralised skills library is symlinked into every tool he uses, so the same skills are available whichever agent he's in.

For the demo, Nathan works from a synthetic client, Acme Inc. He opens a sales diagnostic built in Codex, his daily driver, and explains why he delivers client reports as web pages rather than slide decks: clients are paying for clarity, and the evidence behind every number sits one click away. When he doesn't like parts of the design, he hands the same folder to Claude Code in the terminal and dictates the brief: strip the eyebrows and page numbers, add a dark-mode toggle. While that runs, he shows GrokBot answering client questions from the same underlying files. The change lands, dark mode works, and he goes back to Codex to push it live.

The back half covers how Nathan picks tools. Codex does around 80% of his paid work because it follows precise instructions literally. Claude handles visual work and reads intent from looser prompts. Solo runs multi-agent builds for hours while he's elsewhere, and Amp's cloud-based Orbs keep environment and context intact without anything running on his desktop. Then the rough edges: memory drift in his file system, and agents that have pushed changes live when told not to. Nathan wants proper per-agent permissions rather than instructions an agent may or may not follow.

It closes with a quick-fire round and Nathan's advice for anyone starting out: be more ambitious about what you ask AI to do, and when it names something you don't know, ask what it is and ask it to walk you through doing it. As he puts it, it's prompts all the way down.

Nathan Clark is the founder of ReadyGTM, where he helps companies sharpen and scale their go-to-market motion and put AI to work in ways that move the numbers. He also works with Works.

Chapters

00:00 Cold open

01:03 Meet Nathan Clark

01:48 What "AI nomad" actually means

02:52 Why most operators should go deep on one tool

05:34 What needs to live outside the apps

06:00 Inside the Nathan Brain: a durable file system in plain text

09:13 The 10pm sweep, AGENTS.md and a centralised skills library

15:50 The demo: Acme Inc. and the Codex diagnostic

18:21 Why reports are web pages, not slide decks

21:17 Handing off to Claude Code for a dark-mode fix

22:42 GrokBot for client management on the move

26:04 Dark mode lands, and pushing live

29:14 Ranking the tools: Codex, Claude, Solo, Amp

37:10 Where it breaks: drift and permissions

38:52 Quick-fire round

43:30 Where Nathan gets his alpha

44:52 Advice for beginners: prompts all the way down

46:07 Where to find Nathan

Resources

Nathan Clark: https://readygtm.com

Nathan on LinkedIn: https://linkedin.com/in/nathancjclark

Nathan on X: ​​https://x.com/nathanclark_

Solo: https://soloterm.com

Amp: https://ampcode.com

Tailscale: https://tailscale.com

OpenCode Go: https://opencode.ai

Lorikeet (Steve Hind): https://www.lorikeetcx.ai

About the host

Zachary King is the founder of Works, where he installs AI into how Australian companies operate. He has worked at the commercial pointy end of AI for almost twenty years and runs his own company largely from the command line.

About the show

Operator AI is the show where real operators open their screens and show exactly how they run the real parts of their business with AI. The real stack, not the hype.

If you want AI installed into how your business actually operates, learn more at https://workshq.com.au/ or book a time with Zachary King at https://savvycal.com/Zachary-King/zac-at-works-30.

Operator AI is part of Day One Network, the podcast and media network from W2D1 Media: https://dayone.fm/.