01Design
Build and change workflows faster
Use the visual editor to refine prompts, models, tools, branches, parallel work, and human checkpoints without rebuilding your orchestration layer.
Capabilities
The speed of visual workflows. The control of code.
Move from experimentation to dependable operation without putting a low-code black box between your workflows and the application that runs them.
02Connect
Build on the code you already have
Run inside ASP.NET Core, call backend services directly, and expose typed C# tools instead of creating a separate integration stack.
03Adapt
Choose the right model for each job
Use OpenAI, Azure OpenAI, Anthropic, Azure AI Foundry, or Google models and change providers as requirements evolve.
04Recover
Stay available when providers are not
Configure ordered model fallbacks so eligible rate limits, outages, network failures, and timeouts do not have to end the workflow.
05Understand
Know what happened in every run
Use node traces, contexts, token and cost metrics, fallback attempts, and OpenTelemetry spans to diagnose behavior with evidence.
06Prove
Make AI quality measurable
Run repeatable evaluation datasets and grader workflows to compare prompts, models, and design changes before they reach production.
A tighter development loop
Design, run, and learn in one platform.
Keep the people shaping AI behavior close to the code, data, and operational feedback that determine whether it succeeds.
1
Design with context
Shape behavior visually and use C# where your domain logic adds the most value.
2
Run in your environment
Execute with your services, data, tools, credentials, and security boundaries.
3
Improve with evidence
Use traces, metrics, and evaluations to see what changed and whether it helped.
Program.csC#
// Keep workflow execution in your host
builder.Services
.AddSharpOMaticEngine()
.AddSqliteRepository(
connectionString);
builder.Services
.AddSharpOMaticEditor();
app.MapSharpOMaticEditor();Ready to build?
Shorten the path from idea to production.
Add SharpOMatic to your application, connect a model provider, and build your first workflow in minutes.