From Single-Agent Slack Bot to Autonomous Multi-Agent Workflows: Our Journey at ET Gen AI Hackathon…

📰 Medium · LLM

Learn how to transition from single-agent Slack bots to autonomous multi-agent workflows, as demonstrated by Team HealthStack103 at the ET Gen AI Hackathon

intermediate Published 9 May 2026
Action Steps
  1. Build a single-agent Slack bot using APIs and LLMs to automate simple tasks
  2. Configure multi-agent workflows to handle complex tasks and improve efficiency
  3. Test and deploy autonomous workflows using DevOps tools and cloud services
  4. Apply AI and ML techniques to optimize workflow performance and decision-making
  5. Compare the performance of single-agent and multi-agent workflows to identify areas for improvement
Who Needs to Know This

Developers and engineers on a team can benefit from this knowledge to improve their automation workflows, while product managers can utilize it to enhance their product's efficiency and customer experience

Key Insight

💡 Autonomous multi-agent workflows can significantly enhance efficiency and decision-making in automation tasks

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🤖 From single-agent Slack bots to autonomous multi-agent workflows! 🚀 Learn how Team HealthStack103 did it at the ET Gen AI Hackathon #AI #Automation
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