Chatbots
Every product built on Synthesise AI can deploy its own intelligent chatbot—trained on the specific charter, audience, and monetization logic of the digital product it’s attached to. These bots act as always-on assistants for sales, onboarding, support, and conversion optimization.
1. Capabilities
Context-Aware Responses Chatbots are initialized with the product's UVZ, feature set, and audience pain points. They handle follow-up questions, clarifications, and custom queries.
Multi-Mode Support Bots can operate in:
FAQ mode
Objection handling mode
Content guidance mode
Post-purchase interaction mode
Dynamic Memory Short-term session memory is held in Redis, allowing continuity across multi-turn conversations. Context resets after session timeout or upon completion trigger.
2. Training & Deployment Pipeline
2.1 Data Ingestion
Each chatbot is trained on:
Product Charter content
Module breakdowns
FAQ JSON (auto-generated from flows)
Monetization triggers
2.2 Compilation Process
2.3 Embedding
3. Runtime Architecture
3.1 Chatbot Core Engine
3.2 Session Control
Memory auto-prunes after 5 turns or 15 minutes of inactivity
LLM call is parameterized with product ID + session stack
4. Security & Sandbox Layer
All LLM output is filtered via prompt validators before being returned to user
Chatbot memory is sandboxed per user and never shared across sessions
5. Use Cases by Product Type
Courses
Lesson unlock guidance, quiz help
SaaS Flows
Pricing negotiation, feature explainers
Templates
Personalization suggestions
Coaching
Schedule follow-ups, overcome objections
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