Lilly Tech Systems
Learn AI Assistants
Build, deploy, and manage intelligent AI assistants for customer support, productivity, education, and business. From conversation design to production deployment — everything you need to create effective AI-powered assistants.
Your Learning Path
Follow these lessons to master building and deploying AI assistants.
1. Introduction
What are AI assistants? Evolution from chatbots, key capabilities, and the difference between assistants and agents.
2. Types of Assistants
Customer support, coding, writing, research, education, healthcare, legal, and financial assistants.
3. Building Assistants
Choose the LLM, design system prompts, implement function calling, and manage conversations.
4. Conversation Design
Intent recognition, dialog flow, error handling, personality, multilingual support, and human handoff.
5. Knowledge Base
RAG integration, vector databases, document upload, source citation, and keeping knowledge current.
6. Deployment
Web widget, Slack, Teams, WhatsApp, API deployment, streaming, rate limiting, and scaling.
7. Best Practices
UX design, safety, privacy, measuring success, continuous improvement, and common mistakes.
What You'll Learn
By the end of this course, you'll be able to:
Design Conversations
Create natural, effective conversation flows that handle edge cases gracefully.
Build with LLM APIs
Use OpenAI, Anthropic, and Google APIs to power intelligent assistants.
Add Knowledge Bases
Implement RAG to give your assistant domain-specific knowledge.
Deploy Anywhere
Launch assistants on web, Slack, Teams, WhatsApp, and custom APIs.