Building Microsoft AI Agents - Which Tool Should You Use?
AI Summary
Summary of Video Transcript: Building AI Agents with Microsoft Tools
Types of Agents on Microsoft Platform
- Microsoft 365 Co-pilot Extension: Paid service, integrated with Microsoft 365, limited control but easy to use.
- Standalone Custom AI Agent: Not connected to Microsoft 365, more control, suitable for external or custom solutions.
Skill Levels for Building Agents
- Agent Builder: For end-users, natural language, simple rules, and macros.
- Co-pilot Studio: For low-code makers, drag-and-drop interface, no coding required.
- Code First Tools: For developers, deep control over language models and user experience.
Anatomy of Building an Agent
- Instructions: Define behavior and tone of the agent.
- Knowledge: Connect to documents, websites, SharePoint lists, databases.
- Action Triggers: Workflows and autonomous actions.
- Orchestrator: Decision-making for topic selection and behavior.
- Foundational Models: Underlying AI models from various providers.
- User Experience: Chat interface or background automation.
Extending Microsoft 365 Co-pilot
- Declarative Agents: Limited control, use Microsoft’s foundational model and UI.
- Internal Use: Authenticated with Microsoft work account, cannot be used externally.
- Control Over: Instructions, knowledge, and actions within Microsoft 365 Co-pilot.
Building Custom Agents
- Greater Control: Over knowledge, workflows, models, and channels.
- Internal and External Use: Can be published on various channels.
- Tools: Co-pilot Studio for low-code development, Azure AI Foundry for code-first approach.
Co-pilot Studio
- Templates: Start with pre-built templates for common scenarios.
- Autonomous Agents: Agents that act without human intervention.
- Publishing Channels: Over 15 channels for both internal and external use.
Azure AI Foundry
- Customization: Bring in specific data models or search indexes.
- Complete Control: Over the entire stack, including data model and user experience.
Choosing the Right Tool
- Considerations: Type of agent, skill set, level of control desired.
- Flexibility: Start with one tool and extend or integrate with others as needed.
Detailed Instructions and URLs
- No specific CLI commands, website URLs, or detailed instructions were provided in the transcript.