AI Agents & LLM Apps
Custom RAG AI Agents & Autonomous Business Assistants
- Groq / GPT-OSS
- Vector Databases (RAG)
- React / Node.js
- WhatsApp & Calendar APIs
Before
Static websites fail to answer complex user queries, qualify potential buyers, or schedule calls 24/7.
After
Built a high-speed, context-aware RAG AI Agent (demonstrated on Blockza) that understands business knowledge bases, answers client queries, and routes hot leads to WhatsApp/Calendar.
Problem statement
Static websites fail to answer complex user queries, qualify potential buyers, or schedule calls 24/7.
Solution built
Built a high-speed, context-aware RAG AI Agent (demonstrated on Blockza) that understands business knowledge bases, answers client queries, and routes hot leads to WhatsApp/Calendar.
Tech architecture
- RAG
- Knowledge-base trained agent architecture.
- Search
- Sub-second neural search and a contextual chat interface.
- Handoff
- Lead qualification into WhatsApp and calendar.
Results
-
Sub-second
Neural search
-
24/7
Answers, qualification, and scheduling
-
Blockza
Live demonstration
Screenshots
Agent
Knowledge-base chat with expert card and meeting handoff.
If this is the kind of system you need
Book a call and bring the workflow as it works today. We will say what should be built, and what should be left alone.