SYSTEM #12 · MULTI-TENANT SELF-TRAINING RAG AI AGENTS
VeRobots.net
Lead System Architect & Engineering Lead: Augustin Olarian
Executive Summary: VeRobots.net is a multi-tenant SaaS platform architected by Augustin Olarian that enables any business to deploy a self-training voice and chat AI sales agent in minutes across 93 languages. Given only a website URL, VeRobots autonomously crawls pages, product catalogs, and documents to construct a structure-preserving RAG knowledge base guarded by anti-fraud and prompt-injection filters.
Language Fluency93 Languages (Voice & Chat)
Onboarding Time< 5 Minutes from Website URL
Security LayerAnti-Fraud + Prompt-Injection Shield
Production URLverobots.net
System Architecture & Core Engineering Innovations
- Zero-Configuration Autonomous Website Crawler & RAG Builder: Ingests websites, WooCommerce/Shopify catalogs, and PDFs automatically without manual conversation tree scripting.
- Omnichannel Voice & Text Engagement in 93 Languages: Answers complex technical and product queries, qualifies leads, and guides buyers to checkout via low-latency voice and chat.
- Anti-Fraud Network & Prompt-Injection Guardrails: Protects tenants against bot abuse, token-draining attacks, jailbreaks, and fraudulent e-commerce orders.
- Complete SaaS Billing, Metering & CMS Integrations: Includes native credit metering, WordPress/WooCommerce plugins, and conversion analytics in production at verobots.net.
Technology Stack & Infrastructure
Production Scope Note: The complete production system is significantly larger and encompasses additional operational subsystems; the video walkthrough and this case study highlight selected core architectural innovations.
Technical Architecture FAQ
How does VeRobots.net train an AI agent without manual prompt engineering?
You simply provide your domain URL. VeRobots crawls your pages, product feeds, and policies, cleans and chunks the content while preserving semantic structure, and indexes it into an isolated tenant RAG vault.
How does VeRobots protect merchants from token drain and fraudulent buyers?
Every incoming message passes through behavioral rate limiting, prompt-injection sanitizers, and a cross-store e-commerce fraud risk engine.