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
AINIRO White-Label Client Deployment (Delivery)
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.