I Automate My Entire Company With Codex (Full System)
Aish Reganti
8,574 views
Most people think OpenAI Codex is just another AI coding assistant.
đ Join our next Applied AI cohort, taught by me and an OpenAI lead. Use YT25 for 25% off:
https://maven.com/aishwarya-kiriti/ge...
Ironically, the biggest productivity gains don't come from Codex itself.
After spending a decade building AI systems and leading AI teams, I've learned that the best AI workflows aren't built around a single tool. They're built around an operating system that makes any AI agent dramatically more effective.
In this episode, I break down the four-layer AI operating system we use to run a multi-million dollar AI-native company. You'll learn how to transform Codex from a chatbot into a true AI coworker using Knowledge, Connections, Repetition, and Improvement.
You'll learn how to:
⢠Build a knowledge base that gives Codex real context about your work
⢠Organize documents into a searchable AI wiki instead of scattered files
⢠Connect Codex to your email, calendar, Canva, Linear, and other tools
⢠Turn repetitive prompts into reusable AI skills and plugins
⢠Automate recurring workflows with AI agents and goal-based automation
⢠Use evaluations (evals) to improve AI quality before outputs reach you
⢠Build feedback loops that make your AI workflows smarter over time
⢠Run multiple AI threads in parallel to compare and improve results
⢠Stay in control while safely connecting AI to your business systems
⢠Create an AI operating system that works with Codexâand any future AI tool
I also share practical examples from running a production AI business, including knowledge management, workflow automation, AI memory, agent skills, feedback systems, and the frameworks we've used to automate real work across our team.
Most importantly, you'll learn that building with AI isn't about mastering one model or one platform.
It's about building a system that keeps getting smarter no matter which AI tool you use.
Because the biggest advantage won't come from using the newest AI assistant.
It will come from building an operating system that makes every AI tool exponentially more valuable.
00:00 How Do You Run a Company on Codex? (The 4-Layer System)
00:47 Layer 1: Build an AI Knowledge Base (Wiki) for Codex
03:56 Layer 2: Connecting Codex to Your Tools (Email, Linear, Canva)
06:33 Layer 3: Codex Skills, Plugins & Automations
10:34 Layer 4: Evals & Feedback Loops That Improve Your AI
Link to the handbook: https://maven.com/aishwarya-kiriti/o/...
My LinkedIn: LinkedIn: areganti
Website: https://levelup-labs.ai/
Free Newsletter: https://thenuancedperspective.substac...
Free Courses: https://levelup-labs.ai/education
My GitHub (AI resources): https://github.com/aishwaryanr/awesom...
Instagram: Instagram: aish_reganti
8 Comments
I Automate My Entire Company With Codex (Full System)
Aish Reganti
8,574 views
Most people think OpenAI Codex is just another AI coding assistant.
đ Join our next Applied AI cohort, taught by me and an OpenAI lead. Use YT25 for 25% off:
https://maven.com/aishwarya-kiriti/ge...
Ironically, the biggest productivity gains don't come from Codex itself.
After spending a decade building AI systems and leading AI teams, I've learned that the best AI workflows aren't built around a single tool. They're built around an operating system that makes any AI agent dramatically more effective.
In this episode, I break down the four-layer AI operating system we use to run a multi-million dollar AI-native company. You'll learn how to transform Codex from a chatbot into a true AI coworker using Knowledge, Connections, Repetition, and Improvement.
You'll learn how to:
⢠Build a knowledge base that gives Codex real context about your work
⢠Organize documents into a searchable AI wiki instead of scattered files
⢠Connect Codex to your email, calendar, Canva, Linear, and other tools
⢠Turn repetitive prompts into reusable AI skills and plugins
⢠Automate recurring workflows with AI agents and goal-based automation
⢠Use evaluations (evals) to improve AI quality before outputs reach you
⢠Build feedback loops that make your AI workflows smarter over time
⢠Run multiple AI threads in parallel to compare and improve results
⢠Stay in control while safely connecting AI to your business systems
⢠Create an AI operating system that works with Codexâand any future AI tool
I also share practical examples from running a production AI business, including knowledge management, workflow automation, AI memory, agent skills, feedback systems, and the frameworks we've used to automate real work across our team.
Most importantly, you'll learn that building with AI isn't about mastering one model or one platform.
It's about building a system that keeps getting smarter no matter which AI tool you use.
Because the biggest advantage won't come from using the newest AI assistant.
It will come from building an operating system that makes every AI tool exponentially more valuable.
00:00 How Do You Run a Company on Codex? (The 4-Layer System)
00:47 Layer 1: Build an AI Knowledge Base (Wiki) for Codex
03:56 Layer 2: Connecting Codex to Your Tools (Email, Linear, Canva)
06:33 Layer 3: Codex Skills, Plugins & Automations
10:34 Layer 4: Evals & Feedback Loops That Improve Your AI
Link to the handbook: https://maven.com/aishwarya-kiriti/o/...
My LinkedIn: LinkedIn: areganti
Website: https://levelup-labs.ai/
Free Newsletter: https://thenuancedperspective.substac...
Free Courses: https://levelup-labs.ai/education
My GitHub (AI resources): https://github.com/aishwaryanr/awesom...
Instagram: Instagram: aish_reganti
I actually use IBM Bob in a very similar way in my day to day project, so this really connected with me and also inspired me to improve how I am doing it today. Really useful video. Thank you for keeping it simple and practical.