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AI apps for
your clients.

Start from reusable application code and Runtime capabilities. Spend the project on your client’s workflow, integrations and acceptance criteria.

Discuss a client projectExplore project starters

Build in your own stack or request Cloud private-beta access.

Customer support application concept with ticket records and a reply workspace
Customer Support · Application concept, not a customer case or live AI service.

Reuse the groundwork.

Keep the common application patterns. Make the client-specific work explicit.

Start with LibraOS

  • Application source and runnable starter guides
  • Runtime agents, knowledge, memory and tools
  • SDK and APIs for your development stack
  • Documented model and deployment choices
Inspect the developer workflow

Shape the client project

  • Users, interface and business workflow
  • Data sources, integrations and identity
  • Acceptance checks and human review points
  • Source handover, operating costs and support
Review deployment requirements

Agree the handover.

Make these deliverables part of the project scope. They are acceptance criteria to verify, not a promise that a generated build has already passed.

  1. Define

    Document the workflow, sample data, integrations and acceptance criteria before building.

  2. Build

    Adapt the source and review the interface. Keep client-specific changes in version control.

  3. Verify

    Test the agreed flows with the configured Runtime and models. Record failures and unresolved work.

  4. Deliver

    Agree source access, release instructions, licensing and who will operate the application.

Inspect the work.

Use real source as the starting point for your technical evaluation.

Knowledge assistant application concept showing document questions and source references
Knowledge Assistant · Application concept. Validate your own data and integrations.

Run a complete starter

The Personal Assistant includes a React + TypeScript frontend and documented Runtime setup. Follow the guide to configure models, build the frontend and verify the application.

Run the Personal Assistant

Inspect a support recipe

The Customer Support recipe demonstrates knowledge retrieval and a tool callback with sample data. It is a Runtime integration example, not an end-to-end Cloud delivery demo.

Read the support recipe ↗

Scope the first project.

Bring a client brief and the workflow you want to deliver. Discuss a technical walkthrough and the checks that would make it useful.

Assisted pilot

From US$3,000

One-time engagement. A written SOW defines scope and schedule. Production licensing, model usage and ongoing infrastructure are separate.

Talk to LibraOS sales

Include the workflow, client data restrictions, integrations, intended deployment and target date.

Review the cost structure

Choose how to build.

Cloud provides an AI-assisted project workspace. Developer Platform lets your team continue in its own stack.

Request Cloud access

Cloud is in private beta. A new account does not automatically enable project access, builds or exports.

Build locally with Developer Platform