Examples & Learning Paths
Examples & Learning Paths
Section titled “Examples & Learning Paths”Learn to build agentic workflows through structured tutorials that teach you to think about workflow design, not just copy code.
How to Use This Documentation
Section titled “How to Use This Documentation”Each example in this section teaches concepts before showing code:
| Section | What You’ll Find |
|---|---|
| Problem Narrative | Real-world scenario motivating the pattern |
| Learning Objectives | What you’ll understand after reading |
| Conceptual Foundation | Design decisions, trade-offs, anti-patterns |
| Progressive Code Reveal | Shape first, then implementation details |
| ”Aha Moment” | Core insight crystallized |
| Extension Exercises | Guided practice to deepen understanding |
Learning Paths
Section titled “Learning Paths”Choose a path based on your goals and available time.
Path 1: First Workflow (30 minutes)
Section titled “Path 1: First Workflow (30 minutes)”Goal: Understand the foundational patterns that all workflows build on.
| Step | Read | Learn |
|---|---|---|
| 1 | Basic Workflow | Sequential steps, immutable state, saga pattern |
| 2 | Run the ContentPipeline sample | See a workflow in action |
| 3 | Exercise: Add a ReserveInventory step to the order workflow |
After this path: You can build simple sequential workflows with proper state management.
Path 2: AI Agent Patterns (2 hours)
Section titled “Path 2: AI Agent Patterns (2 hours)”Goal: Learn patterns for building intelligent, adaptive AI systems.
| Step | Read | Learn |
|---|---|---|
| 1 | Thompson Sampling | Multi-armed bandit, exploration vs exploitation |
| 2 | Run the MultiModelRouter sample | See adaptive model selection |
| 3 | Iterative Refinement | Quality loops, [Append] attribute, maxIterations |
| 4 | Run the AgenticCoder sample | See test-driven refinement |
| 5 | Exercise: Add a custom task category to MultiModelRouter |
After this path: You can build AI systems that learn and improve over time.
Path 3: Production Patterns (3 hours)
Section titled “Path 3: Production Patterns (3 hours)”Goal: Master patterns for production-ready workflows with human oversight.
| Step | Read | Learn |
|---|---|---|
| 1 | Approval Flow | Human checkpoints, timeout handling, escalation |
| 2 | Branching | Conditional routing, transition tables |
| 3 | Fork/Join | Parallel execution, state merging |
| 4 | Run the ContentPipeline sample | See approval gates and compensation |
| 5 | Exercise: Add multi-approver workflow to ContentPipeline |
After this path: You can build workflows with human-AI collaboration, parallel processing, and complex routing.
Path 4: Complete Mastery (Full Day)
Section titled “Path 4: Complete Mastery (Full Day)”Goal: Understand all patterns and how they compose together.
- Complete Path 1 (Foundation)
- Complete Path 2 (AI Patterns)
- Complete Path 3 (Production Patterns)
- Capstone Project: Design a workflow that combines:
- Thompson Sampling for agent selection
- Iterative refinement for quality
- Human approval before final action
- Fork/Join for parallel analysis
Pattern Quick Reference
Section titled “Pattern Quick Reference”| Pattern | When to Use | Key Concept |
|---|---|---|
| Basic Workflow | Sequential operations with dependencies | Saga pattern, immutable state |
| Branching | Different logic for different inputs | Declarative routing, transition tables |
| Fork/Join | Independent operations that can parallelize | State merging, fail-fast vs continue |
| Iterative Refinement | Quality improvement through feedback | [Append], maxIterations circuit breaker |
| Approval Flow | Human decisions in automated workflows | Timeout handling, escalation, audit |
| Thompson Sampling | Adaptive selection from multiple options | Beta distributions, exploration/exploitation |
Sample Applications
Section titled “Sample Applications”Runnable projects demonstrating complete implementations.
| Sample | Run Command | What It Demonstrates |
|---|---|---|
| ContentPipeline | dotnet run --project samples/ContentPipeline | Human approval gates, compensation, audit trails |
| MultiModelRouter | dotnet run --project samples/MultiModelRouter | Thompson Sampling, intelligent model selection |
| AgenticCoder | dotnet run --project samples/AgenticCoder | Iterative refinement loops, human checkpoints |
Each sample README includes:
- Problem narrative and solution approach
- Conceptual explanation of the patterns used
- Step-by-step walkthrough of the implementation
- Extension exercises for practice
Prerequisites
Section titled “Prerequisites”Before running examples, ensure you have:
- .NET 9.0 or later installed
- PostgreSQL running (for Marten event store)
- Strategos packages installed:
dotnet add package LevelUp.Strategosdotnet add package LevelUp.Strategos.GeneratorsQuick Start Template
Section titled “Quick Start Template”var builder = WebApplication.CreateBuilder(args);
// Add Wolverine for message handlingbuilder.Host.UseWolverine(opts =>{ opts.Durability.Mode = DurabilityMode.Solo;});
// Add Marten for persistencebuilder.Services.AddMarten(opts =>{ opts.Connection(builder.Configuration.GetConnectionString("Marten")!);}).IntegrateWithWolverine();
// Add workflow servicesbuilder.Services.AddStrategos() .AddWorkflow<YourWorkflow>();
// Register step dependenciesbuilder.Services.AddScoped<IYourService, YourServiceImpl>();
var app = builder.Build();app.MapControllers();app.Run();Key Principles Across All Patterns
Section titled “Key Principles Across All Patterns”| Principle | Why It Matters |
|---|---|
| State is immutable | Enables replay, debugging, concurrency safety |
| Steps are resolved via DI | Testability, loose coupling |
| Failures are explicit | StepResult.Fail() not exceptions |
| Workflows survive restarts | Durability via Wolverine saga persistence |
| Everything is audited | Events capture all state transitions |
What’s Next?
Section titled “What’s Next?”After completing these examples:
- Read the Learn section for deeper conceptual understanding
- Explore the API Reference for complete interface documentation
- Check the samples directory for production-quality implementations
- Join the community to share your workflows and learn from others