From standalone application to AI team: Your path to scalable assistants

Deep Dive: The Ecosystem of AI Assistants

• Understand how "assistant teams" work together and function as a target vision.
• Get a comprehensive overview of tools and platforms such as ChatGPT, Copilot, Langdock, Claude, and Gemini for creating AI assistants.
• Be sure to distinguish between assistants, agents, and automations.

Systematically develop use cases

• Analyze typical processes such as the monthly sales report and uncover potential for optimization.
• Identify your biggest "time wasters" and formulate specific use cases for AI assistants.
• Experience how you can efficiently perform requirements analysis with Gemini in a live demo.

Practical workshop I: your first assistant

• Develop your own "meeting minutes assistant" or choose another relevant topic.
• Define precise system prompts and clear instructions for your assistant.
• Put what you have learned into practice right away and create your first specialized assistant in a hands-on exercise.

Practical workshop II: the knowledge base – the assistant's brain

• Select the right documents and formats to build an effective knowledge base.
• Use AI support to create tone of voice guides that enable your assistants to communicate consistently.
• Feed your assistant with relevant knowledge documents and improve its capabilities.

Testing, debugging, and quality management

• Develop practical test scenarios and check the functionality of your assistants.
• Optimize your assistant in real time through live debugging and identify potential improvements.
• Provide other participants with feedback on their assistants and benefit from their comments.

Practical Workshop III: The Assistant Team

• Put together several assistants with different roles, e.g., for research, analysis, or text generation.
• Build a second assistant to complement your team.

Collaboration and implementation

• Share and manage your assistants effectively within your team.
• Discuss strategies for successfully integrating AI assistants into teamwork.
• Develop a roadmap for the next steps and scaling your assistants.

Conclusion and outlook

• Learn how "assistant teams" work together and what potential they can unleash.
• Create a customized roadmap for your own team of assistants.
• Take away concrete strategies and valuable insights that you can implement directly in your everyday work.