Shibbal Farooq

Most chatbots fail before the first message

Not because the model is bad because nobody built the parts around it. A generic chatbot answers instantly, sounds like a template, forgets what you said two messages ago, and has no idea when to admit it doesn't know something.

Here's...

"The answer is only as good as how it's delivered" I've seen technically correct RAG pipelines get ignored because the output looked like a debug log — a wall of JSON, no formatting, no visual hierarchy. The retrieval was right. Nobody trusted it, because it didn't look like...

I built a system that qualifies leads before a human ever sees them.

The setup: new leads land wherever they come in — a form, an inbox, a CRM webhook. n8n picks them up immediately. LangChain pulls relevant context (company size, past interactions, ICP fit signals). Claude...

Prompt engineering isn't the job. The pipeline is.

Anyone can spend an afternoon tweaking a prompt until it sounds good on one example. That's not what makes an AI feature production-ready.

What actually matters:

Retrieval that pulls the right context, not just some context...