Category
Chat Engine
Omnichannel AI Chatbot platform, integrations, and user journeys
API Specification
--- The Chat Engine API is organized into 5 domains. Knowledge and contact management are delegated to AI Brain and Contact Intelligence respectively. | Domain | Base Path | Descri
Domain Model
This document defines the core business entities and their relationships for the Chat Engine. --- With AI Brain and Contact Intelligence now built, the Chat Engine's domain is narr
Frontend & UI Specification
This document outlines the detailed user interface structure, page layouts, and component interactions required in the apps/seller-dashboard Next.js to manage the Chat Engine. ---
Memory Management Specification
--- In v1, the Chat Engine owned its own tri-layer memory pgvector, Redis, PostgreSQL. In v2, memory is fully delegated: | Memory Type | Service | How Chat Engine Uses It | |:---|:
Prompt Engineering & AI Security Spec
This document outlines the core LLM orchestration strategies, prompt wrappers, context injection rules, and systemic guardrails for the Chat Engine. Since the LLM is nondeterminist
Security & Privacy Spec (Trust & Safety)
This document outlines the strict data privacy, multi-tenant boundaries, and cryptographic security measures implemented within the Chat Engine. Since the system ingests proprietar
System Architecture: HLD & LLD
This document defines the High-Level Design HLD and Low-Level Design LLD for the LogicSpike Chat Engine, an omnichannel AI chatbot platform. --- The Chat Engine is the thin orchest
Phase 1: Discovery & User Journeys
The Chat Engine Omnichannel AI Chatbot Platform is a powerful, integrated service offered to LogicSpike Tenants Business Owners, E-commerce, Agencies. It allows them to instantly p