Building with AI? Understanding model behavior beyond performance metrics is crucial - Grok 4's privacy patterns might surprise you. Watch now 👉

Need to add AI capabilities to your no-code app? Learn how to integrate Grok 4 into Bubble with a simple API connector setup and workflow configuration. Watch now 👉

My latest video shows how to integrate Grok 4 into your Bubble app in just minutes. Step-by-step walkthrough of the XAI API setup and building a working chat interface. Watch now 👉

Concerned about AI privacy? Grok 4's high "Snitch Score" reveals how different models handle sensitive information - key insights for developers. Watch now 👉

Building a Bubble app that processes PDFs? Discover the difference between simple text extraction and OCR methods for different document types. Watch now 👉

My latest video explores Grok 4's surprising behavior with the new "Snitch Score" - important privacy implications every developer should know about. Watch now 👉

RAG databases add complexity and cost. Before you build one, calculate if your data fits in the context window using OpenAI's token calculator. Often simpler is better. Watch now 👉

Need to extract text from PDFs in your Bubble app? Learn when to use plugins vs APIs and how to handle large documents that cause timeouts. Watch now 👉

Struggling with PDF text extraction in My latest video covers plugins for small PDFs and third-party APIs like PDF Co for large documents that timeout. Watch now 👉

Building an AI app with a large knowledge base? RAG and vector search can slash your API costs by 80% compared to stuffing everything into your system prompt. Watch now 👉

Building AI features in Learn why your OpenAI API calls fail when adding dynamic data and how to fix it with proper JSON formatting. Watch now 👉

Building an AI app with small datasets? You might not need RAG. Modern context windows can handle 10+ pages of data efficiently. Here's how to decide what works best. Watch now 👉

Confused about RAG vs Context Window for your AI app? My latest video breaks down when to use each approach and how to calculate costs to make the right choice for your project. Watch now 👉

Most people jump straight to fine-tuning for AI custom training, but prompt engineering with clear instructions often delivers better results at a fraction of the cost. Watch now 👉

Struggling with passing user data to OpenAI prompts in Bubble? Here's how to structure your API calls properly so they don't break when you add dynamic content. Watch now 👉

Confused about RAG vs fine-tuning vs prompt engineering? My latest video breaks down when to use each method for AI custom training and why most people overcomplicate it. Watch now 👉

My latest video shows how to insert dynamic data into OpenAI prompts without breaking your API calls. Learn the proper JSON structure and avoid common mistakes. Watch now 👉

Have you been wondering which AI model delivers better responses for your specific needs? My detailed comparison shows the trade-offs between speed, cost, and quality. Watch now 👉

Struggling with AI content that screams artificial? The biggest giveaway is EM dashes. Learn how one simple character swap can transform your content. Watch now 👉

Did you know AI tends to overuse EM dashes? Simple find & replace with commas makes your content appear more human-written. Watch now 👉