ChatGPT & Codex · by OpenAI
One Account.Two Superpowers.
ChatGPT is the everyday brain millions reach for. Codex is the autonomous engineer that ships the work. Behind one login sits a stack most people barely touch. We teach you to run all of it.
The Power
Two tools doing very different jobs
ChatGPT
Your everyday brain
The general-purpose workhorse: think out loud, research, analyze, draft, design, talk. It's the surface you open a dozen times a day—once you know what's behind the box.
- Custom GPTs & Projects. Purpose-built assistants loaded with your context, instructions, and files—reusable instead of rebuilt every time.
- Deep Research. It plans, searches across the web, and returns a cited report—hours of analysis compressed into one pass.
- Canvas. A side-by-side workspace for writing and code you edit together, instead of regenerating from scratch.
- Agent Mode. It executes end-to-end tasks for you—researching, comparing, filling forms, getting to a finished result.
- Advanced Voice. A real spoken conversation—think out loud on a walk and let it keep up.
Codex
Your autonomous builder
The agentic coding system—terminal, IDE, cloud, and a GitHub bot sharing one model. You delegate real engineering work and it goes off and does it, in parallel, while you review.
- CLI & IDE. An agent in your terminal and editor that reads the repo, makes multi-file changes, and runs the tests.
- Cloud delegation. Hand off a task from ChatGPT and it works in the background in its own sandbox while you do other things.
- GitHub bot. Assign it an issue or a review and it opens a pull request with the change, ready for you to approve.
- Parallel agents. The Codex app runs several agents at once on long jobs—you orchestrate, they execute.
The Expertise Gap
Most people use
the search box
They type a question, read the answer, move on. It's genuinely useful—and it's maybe a tenth of what they're paying for. The depth is right there, unopened.
Fluency isn't knowing more features. It's knowing which surface fits the job, how to frame the work so the answer is trustworthy, and how to keep a human in the loop where it counts.
Ask a question
One prompt, one answer, copy out. Useful, but the shallow end.
Frame the work
Context, constraints, examples, and a clear definition of done up front.
Build reusable assets
Custom GPTs, Projects, and saved patterns that load context by default.
Delegate & orchestrate
Deep Research, Agent Mode, and Codex doing real work while you review and decide.
↑ where the value actually lives
Where Thinking Backward Comes In
Real fluency.
We make you dangerous with it.
We coach you and your team to build your own GPTs, your own Codex loop, your own research and review habits—anchored to the outcomes that matter to your work.
You walk out faster, sharper, and able to do it again on your own. That's the whole point. Capability that stays with you.
Hands-on, with you
Your fluency is the deliverable—built with you, hands-on, in the room.
Outcome first
We start from the result you want and work backward to the setup.
Human in the loop
The judgment to know what to delegate, what to verify, and what to keep.
Workflows We Build
Concrete systems, yours to keep
We start from the outcome you want and work backward to the smallest setup that delivers it. A few of the workflows we build with clients:
A custom GPT for a recurring job
Pick the task you do over and over—proposals, analysis, support replies—and we build the GPT that nails it, loaded with your standards.
A repeatable research pipeline
Turn Deep Research into a habit: how to scope a question so the report comes back trustworthy and cited, every time.
A Codex shipping loop
Wire Codex into your repo—from delegated task to reviewed pull request—so you ship more without losing the review discipline.
A trust-and-verify framework
The part that protects you: knowing where AI output is safe to run with and where a human has to sign off.