Скачать или смотреть Grok vs ChatGPT, Open Source LLMs & How to Start Coding with Cursor

In this engaging episode of The RTILA Podcast, host Neil Haley and RTILA co-founder Dr. Mohamed explore the evolving landscape of AI, comparing leading models like Grok and ChatGPT, and diving into how agencies and creators can now begin building apps and automations using tools like Cursor, GitHub Copilot, and PL.com.

They also discuss the shift toward open-source LLMs, local deployment of AI, and the strategic advantages of pairing these tools with RTILA’s upcoming automation platform (Version 8).

🔑 Key Topics Covered:
🤖 Grok vs ChatGPT: Real Talk

Neil shares his experience using Grok from X (formerly Twitter) in voice and chat:

More natural voice

Faster than ChatGPT

Retains memory better in one conversation

ChatGPT’s performance seems inconsistent, forgetful, and increasingly reliant on perfect prompt engineering.

“Grok is faster. ChatGPT feels like we’ve gone back to 2022.” – Neil

🧠 The Rise of Prompt Engineering Again

AI tools aren't getting dumber—but users need better prompting skills again.

ChatGPT’s memory and output quality vary depending on the day, session, and token limits.

Prompting now requires context management and more precision across all LLMs.

⚡ Local LLMs & Open Source Models

OpenAI recently released GPT OS (GPT-4.0 mini) for local use.

Dr. Mohamed is using it via Ollama.com
with 12GB–24GB GPUs.

Chinese LLMs like Qwen Coder 3 are outperforming expectations and growing rapidly.

Open-source strategy: flooding the market with free models to undercut paid competitors and gain brand loyalty.

“A local LLM on your computer protects your IP and saves you subscription fees.” – Dr. Mohamed

👨‍💻 Cursor, GitHub Copilot & The No-Code Coding Movement

Cursor lets you build a working app from a prompt, using any AI model of your choice.

GitHub Copilot offers more dev-centric features and integrates well with version control.

If you want an app live in 5 minutes, platforms like PL.com or Lovable.so are your best bet.

Neil shares his goal: using AI to build apps, games, and internal tools—without hiring developers.

🧠 What You Need to Learn to Use These Tools

Basic knowledge of:

JSON

Conditional logic

APIs

Hosting environments

UI/UX design thinking

Cursor has a growing, supportive community and tutorials, making it ideal for marketing agencies and creators.

🛠️ What’s New at RTILA (Launching Soon!)

Version 8 Launches Late September 2025 with:

Built-in AI prompting for automation creation

New tech stack for speed and performance

Prompt-to-automation flow for web scraping, lead gen, and app control

Exportable & white-labelable compiled bots

“We rebuilt RTILA from the ground up so you can create automations with just a prompt.” – Dr. Mohamed

📌 Bonus Tips:

Saturdays = Tech Stack Days (Neil’s favorite)

Cursor is great for agency owners wanting to expand into software dev

Replit & Lovable offer more hands-free app deployment

🎯 Final Takeaways:

Voice AI (Grok) is improving but still inconsistent.

Prompt engineering is once again king.

Open-source models give you more control over data and cost.

Cursor, GitHub, and RTILA are the tools to learn now if you want to future-proof your agency.

🔗 Resources Mentioned:

RTILA.com

Cursor.sh

GitHub Copilot

PL.com

Ollama
– for running local LLMs

Qwen Coder 3 – Open-source AI from China

🚀 Want to Build AI Bots or Launch Your Own App?

Visit RTILA.com
to start building custom scraping, automation, and data bots
— or compile your own white-labeled software with AI help