Getting Started

Start with the path that matches your job.

I Want To Understand Orlo

Use this path if you are evaluating fit.

  1. Read What Is Orlo?
  2. Read Who Orlo Is For
  3. Read Platform Overview
  4. 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.

  1. Read Platform Overview
  2. Run one of the Platform Quickstarts
  3. Read Evaluation to Deployment Loop
  4. 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.

  1. Read Governance
  2. Read Internal AI Operating Model
  3. Read Operational Evidence
  4. Read Runtime Controls
  5. 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.

  1. Read Open Core
  2. Read Installation
  3. 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.

  1. Read Authentication and Org Model
  2. Read Platform API
  3. 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:

  1. Bring one domain task.
  2. Bring 50 to 200 representative examples.
  3. Evaluate two or more candidate models.
  4. Deploy the best acceptable candidate.
  5. Send one live request.
  6. Inspect validation, routing, retrieval, and trace evidence.
  7. Submit feedback and see how it can improve the next evaluation.

That is the Orlo loop in miniature.