Build & Sell with Codex (5+ Hour Course)

In This Issue

• Build an AI operating system, reusable skills, and client-ready deliverables with Codex.
• Harshit got an SEO agency to agree to a call by letting a case study do the talking.
• Anthropic says Claude is now accelerating parts of the work that builds future AI systems.

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New Video:

Build & Sell with Codex (5+ Hour Course)

In this full course, I show you how to use Codex to build useful AI tools and automations. We start with the core setup, then build an AI operating system and second brain, reusable skills, websites, branded deliverables, and automations you can host and sell.

The mistake most people make: They collect tools without building a repeatable system around them. That leaves you with impressive demos but nothing you can confidently deliver or price for a client.

How this helps you: You get one practical path from your first Codex project to a client-ready solution. You will know what to build, how to package it, and where it fits in a real business workflow.

Winning Is All We Do

A case study got the call

What happened: Harshit Kumar stopped explaining what he builds in every outreach message and sent one case study instead: a weekly technical SEO audit. An SEO agency replied and agreed to a call. He is clear that this is not yet a client win. The page used estimated figures, and the build is not running for a client, but it proved that the page could make the case for him.

The opportunity for you: Buyers do not need a long explanation of every tool you use. A focused proof page can show the problem, the workflow, and the outcome faster than a paragraph ever could. Build one around a real problem in your niche, then let it open the conversation.

This is one of many success stories from AI Automation Society Plus. If you're not a member, you're missing out.

In the News

Claude is helping build the next Claude

The news: Anthropic says it is delegating a growing share of AI development to AI systems. Its engineers are directing and reviewing Claude as it writes code, executes well-specified experiments, and takes on more open-ended tasks. Anthropic reports that more than 80% of the code merged into its codebase in May was authored by Claude, while people still set goals and judge the results. Read the research.

How it affects automation: The practical lesson is not to hand an agent your whole business and hope. Give it a clear outcome, make it execute the repeatable work, then keep human judgment at the approval points. That is how you turn a useful automation into a system you can trust and sell.