Getting Started
Start with the path that matches your job.
I Want To Understand Orlo
Use this path if you are evaluating fit.
- Read What Is Orlo?
- Read Who Orlo Is For
- Read Platform Overview
- Read Open Core vs Platform
By the end, you should know whether you need reusable primitives, the full platform, or neither.
I Want To Run A Platform Workflow
Use this path if you want to see the full Orlo loop working end to end.
- Read Platform Overview
- Run one of the Platform Quickstarts
- Read Evaluation to Deployment Loop
- Use Platform API when you need route-level detail
The core workflow is: task -> dataset -> evaluation -> deployment -> inference -> feedback.
I Own Internal AI Governance
Use this path if your concern is responsible AI use, operational evidence, human oversight, or audit readiness.
- Read Governance
- Read Internal AI Operating Model
- Read Operational Evidence
- Read Runtime Controls
- Read AI Act Readiness Evidence
This path explains how Orlo supports policy-to-control mapping without pretending to replace legal, risk, or compliance management systems.
I Am Building With Open Core
Use this path if you want packages, SDKs, and reusable components.
- Read Open Core
- Read Installation
- Pick a package quickstart:
Open Core is the low-friction way to understand and adopt Orlo primitives before committing to the full platform.
I Am Integrating Against The Hosted API
Use this path if you are wiring Orlo into an application.
- Read Authentication and Org Model
- Read Platform API
- Start with these endpoint groups:
For agentic systems, also read Agent Governance Overview and Agent Governance API.
First 30 Minutes
The fastest product proof is:
- Bring one domain task.
- Bring 50 to 200 representative examples.
- Evaluate two or more candidate models.
- Deploy the best acceptable candidate.
- Send one live request.
- Inspect validation, routing, retrieval, and trace evidence.
- Submit feedback and see how it can improve the next evaluation.
That is the Orlo loop in miniature.