Learn VDF AI

Build a solid understanding of VDF AI's core architecture and mental models.

• Core concepts of VDF AI Networks
• The Intent → DAG → Execution model
• How VDF AI differs from traditional AI tooling

Design, build, and manage reusable agents using AgentHub.

• Using AgentHub effectively for agent lifecycle management
• Designing reusable, composable agent architectures
• Best practices for agent configuration and versioning

Create DAG-based workflows that optimize task execution across your organization.

• Creating and managing DAG-based workflows
• Structuring tasks for optimal parallel execution
• Handling dependencies and conditional branching

Connect VDF AI to your internal systems for real operational impact.

• Connecting internal systems and APIs to VDF AI
• Using tools effectively within agent workflows
• Designing integration patterns that scale

Optimize model selection and routing for performance and cost efficiency.

• Using LLMFolio for intelligent model selection
• Routing strategies across multiple providers
• Cost and performance optimization techniques

Track, measure, and optimize everything your agents do in production.

• Real-time tracking of runs and outputs
• Understanding performance metrics and cost attribution
• Debugging and optimizing execution flows

Move from team-level adoption to organization-wide AI capability.

• Multi-team adoption strategies and playbooks
• Governance, permissions, and best practices at scale
• Building an internal center of excellence