AutoGPT for Business Automation Training in Copenhagen, Denmark

This training introduces participants to AutoGPT, an autonomous AI agent built on GPT that can perform multi-step tasks with minimal human input. The focus is on how AutoGPT can be used in business automation, including task delegation, research, reporting, content generation, and process optimization.

Introduction to AutoGPT and Core Functionality

Understanding AutoGPT

• What is AutoGPT and how it works
• Difference between ChatGPT, AgentGPT, and AutoGPT
• How autonomous agents operate in loops
• Core components: objectives, memory, tools, actions

Setting Up AutoGPT

• System requirements and installation (local or cloud)
• Environment setup (Python, dependencies, API keys)
• Configuration files (config.yaml, .env)
• Overview of memory types and plugin tools

Creating Business Objectives for AutoGPT

• Writing effective objectives for agents
• Goal breakdown: research, outreach, summarization
• Example objectives: “Research competitors and summarize”, “Generate weekly content plan”
• Testing short tasks to validate setup

Business Automation Use Cases and Workflow Design

Designing Workflows with AutoGPT

• Breaking down business tasks into subtasks
• Assigning tool access (web browsing, file writing, APIs)
• Workflow examples: lead scraping, blog writing, financial summaries
• Understanding task loops and managing iterations

Business Use Cases in Practice

• Automating research and reporting tasks
• Auto-email drafts and CRM entries
• Social media scheduling and content creation
• Project management assistance and meeting summaries

Ethics, Risks, and Limits of AutoGPT

• AI responsibility and business policy concerns
• Preventing data leaks or harmful loops
• AI oversight and approval checkpoints
• Logging, tracking, and audit of outputs

Final Activity and Review

• Q&A and next steps for scaling automation