Operating ProcedureExecution layer

AINIRO White-Label Client Deployment (Delivery)

A sequence with 8 steps: Deploy AINIRO Magic Cloud via Docker for self-hosting or use the cloud instance.

By InnovaAI ResearchPublished Updated

sequence

AINIRO White-Label Client Deployment (Delivery)

  1. 01

    Deploy AINIRO Magic Cloud via Docker for self-hosting or use the cloud instance.

    Ensure the instance is accessible and stable before proceeding with client branding.

  2. 02

    Navigate to the white-label settings panel and configure custom domain, logo, and color scheme.

    Set up SSO/OIDC if required by the client's enterprise security policies.

  3. 03

    Create a new project for the client using natural language prompts in the AINIRO builder.

    Describe the full-stack application or AI agent workflow in plain English; the platform generates backend APIs, database schemas, and frontend interfaces.

  4. 04

    Integrate external services via the integrations panel (GitHub, Supabase, Firebase, Claude, OpenAI).

    Connect client data sources and AI models as needed for the application logic.

  5. 05

    Configure Role-Based Access Control (RBAC) under the security settings to define user roles and permissions.

    Assign admin, editor, and viewer roles per client requirements.

  6. 06

    Test the application using the built-in preview mode and review generated Hyperlambda code for custom adjustments.

    Hyperlambda runs roughly 20 times faster than Python, so performance should be verified.

  7. 07

    Deploy the white-labeled application to the client's custom domain and enable monitoring.

    Use the AINIRO admin dashboard to track usage, errors, and performance metrics.

  8. 08

    Hand over admin credentials and a usage guide to the client, including instructions for natural language updates.

    Schedule a follow-up review within two weeks to address any issues.