Architecture
instantAIguru is built on three layers: a Twilio Conversation Relay that streams voice with sub-300ms latency, a JavaScript Flow Engine (JSFE) that runs agentic actions through deterministic scripts instead of LLM-chosen tool calls (zero hallucination across 200,000+ production flows), and a Hybrid RAG system that hits 97%+ answer accuracy by combining vector and keyword retrieval with multi-vendor model orchestration and automatic hallucination detection. Every layer is documented in detail below.
Common architecture questions are answered in the Architecture & Technology FAQ.
Twilio Conversation Relay
WebSocket-based voice AI with real-time streaming, STT/TTS, and multi-layer architecture.
Documentation & Specifications
Visual Architecture Diagrams
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Browse All Documentation
Every architecture doc across Twilio Conversation Relay, JavaScript Flow Engine, and Hybrid RAG, plus the platform Admin Guide.
Twilio Conversation Relay
Architecture documentation for the WebSocket-based conversation relay and state management.
Read DocumentationJavaScript Flow Engine
Core engine documentation, installation guide, and usage instructions for the JSFE library.
Read DocumentationJSFE User Guide
Comprehensive tutorials, step-by-step examples, and workflow patterns for JSFE.
Read DocumentationSystem Flows
Standard system flows including authentication, error handling, and support routing.
Read DocumentationShopify Flows
E-commerce integration flows for product search, order tracking, and store policies.
Read DocumentationHybrid RAG Architecture
Deep dive into the serverless architecture, JSFE integration, and request processing pipeline.
Read DocumentationAdmin Guide
Complete user manual for the Admin Portal and Chat Dashboard: setup, channels, integrations, analytics, appearance, and the Flow Designer.
Read Documentation