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Simulated Sandbox

AI Support Chatbot Demo

An AI-powered support chatbot that answers customer questions using your knowledge base, with automatic fallback to lead capture when it can't help.

Simulated Live
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Smesh Support Bot

AI-powered

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Hi there! I'm the Smesh.Dev assistant. Ask me anything about our services, pricing, or tech stack.

Use Case Context

AI Knowledge Base (RAG)

This simulation shows how Smesh.Dev builds RAG support agents that retrieve business details from a Vector DB to answer queries. If query resolution falls below a threshold, the bot automatically transitions to a custom lead captures webhook.

⚡ Live Vector & Webhook Logs

// Ready for queries...

Workflow Mechanics

How This Automation Works

A step-by-step breakdown of the backend logic, triggers, and sync rules powering this application mockup.

1. Customer Asks Question

Frontend chat widget captures the message and routes to the API

2. Vector Search Lookup

Database query identifies matching context blocks from documents

3. OpenAI Formulates Reply

GPT-4o processes context to draft a concise, truthful answer

4. Handoff Triggered

If context is missing, chatbot gathers lead details for human support

Technologies Demonstrated

OpenAIn8nSupabase Vector DB
Deployment Scope

Need a system like this?

We specialize in building bespoke automation webhooks, Point of Sale dashboards, WhatsApp intake bots, and client booking grids tailored to your data architecture.

✓ Custom RAG databases & Pinecone integrations.

✓ Automated lead routing and n8n pipelines.

✓ Client-side testing sandbox build included.

Ready to launch a custom automation blueprint?

Let's schedule a 15-minute Discovery Consultation. We will analyze your workflows, identify manual bottlenecks, and structure a working sandbox.

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