단일 챗봇을 ‘AI 팀’으로 업그레이드하기 (OpenClaw 멀티 에이전트 2.5부 미리보기)

This video demonstrates upgrading a single chatbot into a multi-agent AI team using OpenClaw. It showcases how to leverage multiple specialized agents working together to handle complex workflows, with integration into Telegram for task automation. The preview highlights using Google Gemini as the underlying LLM and implementing content workflow automation through coordinated agent interactions.

Key Points

• •Transform single chatbot architecture into a multi-agent system where specialized agents handle different responsibilities
• •Use OpenClaw framework to orchestrate multiple AI agents working collaboratively on shared tasks
• •Integrate Telegram bot interface with multi-agent backend for seamless user interaction and task automation
• •Leverage Google Gemini LLM as the foundation for agent intelligence and reasoning capabilities
• •Implement content workflow automation by distributing tasks across specialized agents (e.g., research, writing, editing agents)
• •Design agent communication patterns and handoff mechanisms for complex multi-step processes
• •Monitor and coordinate agent outputs to ensure quality and consistency in automated workflows
• •Scale chatbot capabilities from single-purpose to enterprise-grade multi-functional AI team

Workflow Diagram

Concepts