I designed and deployed a fully AI-powered organic lead generation ecosystem with an integrated conversion-focused sales funnel.
Unlike traditional marketing setups, this system doesn’t depend on ads or cold outreach it works by aligning search intent + AI automation + conversion psychology.
What this system achieves:
→Captures high-intent users through advanced SEO architecture
→ Uses AI-driven targeting to attract the right audience
→ Converts organic traffic into qualified, sales-ready leads
→ Builds a continuous inbound lead flow without manual effort
If you want a similar AI-powered system for your business, send me your website—I’ll share quick insights.
Escape – Seamless Hotel & Travel Booking Experience
Escape is a modern mobile experience designed to make hotel discovery and booking completely frictionless. The design balances clean minimalism with intuitive user flows—featuring smart search filters, visual destination...
AI Assistant Using Your Business Knowledge Base — RAG on Your Documents
THE PROBLEM
Q&A bots break down when knowledge lives in documents: a 100-page manual has no "questions" to match, it can't fit into a prompt, and generic chatbots hallucinate instead of admitting what they don't know.
THE SOLUTION
A RAG (Retrieval-Augmented Generation) knowledge base: documents are split into meaningful chunks, embedded into a vector index, and the assistant answers from the right sections — by meaning, not keywords.
Any format as-is: PDF, DOCX, TXT, Markdown — 100+ pages is fine
Answers grounded in YOUR documents — it says "I don't have that information" rather than inventing
Source references — every answer shows which document and section it came from
Runs on your infrastructure — documents never leave your control
One command to re-index after updating documents — documented, no programmer needed
The 'I don't have that information' line is the part most RAG builds skip, and it's the one that matters. How do you set the cutoff? On mine, a fixed similarity threshold broke once I filtered results by user role. Scores shifted and it refused questions it could answer.