Build enterprise applications with AI

From business requirements to secure, running software. Build production-ready NPL applications faster with AI while keeping architecture deterministic, auditable, and secure.

NPL gives you compiler-verified protocol logic. AI accelerates delivery. Together, you get speed without losing control.

Security posture

Compiler-verified

Execution model

Deterministic

Assistant support

Tool-agnostic

Why teams choose this

Security by design, verified at compile time

NPL enforces protocol correctness and permission consistency through compilation, reducing security drift and logic ambiguity.

Deterministic, battle-proven stack with no surprises

The workflow follows a stable, proven architecture and strict execution order, producing repeatable outcomes across teams and projects.

Faster delivery from idea to implementation

Users provide basic business requirements, and the agent iterates them into implementation-ready artifacts.

Assistant flexibility

This approach works with Cursor, Claude, and other capable AI-assisted IDE workflows; it is not tied to a single tool.

How it works

Step 0

Start from the official starter

Create your project folder and checkout the starter repository. Then open it in the AI-assisted IDE of your choice.

Copy starter repository command:

git clone https://github.com/NoumenaDigital/noumena-ai-starter
Open repository

Step 1

Enter basic business requirements

Tell the agent to build your app by following strictly the README.md in the project folder. Describe your domain, key roles, core actions, and rules in plain language.

Step 2

Agent structures requirements and runs the workflow

The agent transforms your input into a structured requirements document and then executes the workflow: protocol generation, API generation, identity/access provisioning, and application wiring.

Step 3

Test & iterate

Ask your agent for credentials if they are not already provided, then test your application in the browser. If needed, ask the agent to generate seed data to improve the experience.

Troubleshooting

First action always: give the logs to the agent. Most issues can be resolved fastest when the agent can inspect real command output and service logs.

What you get

By the end of the workflow, you have:

  • Dockerized system

    Local development and execution out of the box.

  • Keycloak integrated with provisioning

    Realm, client, roles, and users setup included.

  • Fully functioning web application

    Production-style frontend with landing page, authentication, and secured user area.

  • End-to-end implementation of core business process

    Your key requirements are translated into executable protocol logic and connected application flows.

  • Generated API integration

    Connected to real backend protocol logic.

Non-functional capabilities

Included out of the box (NPL-centric):

  • Deterministic protocol execution

    business processes run predictably from explicit protocol/state definitions.

  • Strong transactionality

    protocol actions execute with transactional guarantees for state consistency.

  • Built-in auditability

    protocol instance history and action traces support compliance and operational transparency.

  • Policy-enforced authorization

    backend rules and protocol permissions govern access, not only UI checks.

  • End-to-end traceability

    from requirement to protocol to runtime behavior in a single coherent model.

  • Reproducible environments

    containerized infrastructure and scripted setup for consistent results across machines.

Who it is for

Role-based application teams

Teams building role-based business applications.

Engineering organizations

Organizations that want AI speed without unpredictability.

Regulated or auditable domains

Domains requiring deterministic and traceable execution.

Build faster without losing control

Use your preferred AI assistant and ship secure NPL applications on a deterministic, production-oriented stack.