Become an AI-Native Builder with Codex : Build Apps, Agents and Evals

Subha Subramanian Shetty

Founder and CEO of TrueSignals AI Labs

The AI advantage is shifting from prompting to building and Codex closes the gap

***INTRODUCTORY PRICING ONLY FOR THE FIRST COHORT ***

Claude is unmistakably powerful, but Codex may be the most underestimated AI building environment for business professionals. It can work across your files and tools, execute complex tasks, run multiple agents in parallel and turn an idea into a working product. More than 5 million people now use Codex each week, while its fastest-growing audience is non-developers building reports, dashboards, workflows and internal tools.

This is a 100% live build lab, not a video course . You’ll progress from creating games to apps to agents to agentic workflows, connect real systems and data, add evals and guardrails, and independently build and present a working capstone. You won’t just learn Codex. You’ll leave able to build all sorts of applications with it and learn a ton of tips and tricks for using Codex effectively.

What you’ll learn

Build, deploy and improve real apps and AI agents with Codex so you can turn ideas into working products. Leave with a reliable capstone.

Learn how Codex reasons, uses context, works with tools and moves from a request to an executed result.
Apply practical tips and techniques to prompt, guide, debug and collaborate with Codex more effectively.
Build the fluency to use agentic development via Codex Agents - an increasingly important way ideas will become working products.

Map the goals, users, components, data and dependencies behind what you want to build.
Break complex ideas into manageable parts, sequence the work and make smarter tradeoffs.
Use core systems-thinking concepts to diagnose issues, learn from feedback and improve the whole product—not just isolated features.

Turn a creative concept into multiple working experiences using AI-assisted development.
Tune the mechanics and refine the interface through rapid, guided iteration.
Combine individual builds into a polished, cohesive product you can share with friends and fanily!

Translate practical business needs into functional, end-to-end applications.
Work with persistent data, intuitive workflows and the essential features users expect.
Make thoughtful product and technology tradeoffs so your applications work from a systems standpoint, not just look finished.

Move app data from a local JSON file and manage it through a real database.
Connect GitHub and publishing tools to version, configure and deploy your application.
Build an AI agent that finds opportunities and accomplishes tasks for you in those systems.

Test your agent against realistic scenarios and turn failures into targeted improvements.
Add evals, guardrails, feedback loops and human approvals to increase trust.
Apply the full workflow to an independent capstone and present a working product.