Node is the basic unit
A node combines persistent state, class methods, events and links to other nodes. Business entities and processes are built from the same simple unit.
Business application framework
Business logic that stays compact, readable and yours
NodaLogic is a low-code platform built around one primitive — the node. The same semantics powers server logic, web clients and an independent mobile runtime that can keep working offline.
Simple semantics makes NodaLogic convenient for AI generation, while the resulting solutions remain compact and readable. AI agents are used during development and testing and can also work inside the finished solution alongside users — changing data, writing reports, adjusting settings and executing business logic.
Platform
One architecture from data to interface
NodaLogic keeps application structure explicit. A solution is a configuration with open JSON and handlers instead of a hidden box of generated code.
Independent mobile runtime
Android clients can store data and execute node logic locally, continue offline and synchronize when connectivity is available.
Execution follows the node
The same business semantics works on the server and clients. Logic can execute where the node is located instead of forcing every action through a central backend.
nGenie
A data assistant that works with application context and can be extended with skills — from navigation and data work to domain-specific actions.
Watch nGenie
Want to build it yourself?
Read the docs, install the Android app and open the configurator.
Demo solutions
Generated WMS example
NodaLogic WMS
A compact WMS generated for real warehouse processes
The solution covers configurable strategies and warehouse operations, FEFO/FIFO, lots and serials, storage zones and package dimensions. The mobile terminal is offline-first and can execute independent Android logic without a permanent server connection.
The same configuration contains web workplaces, indicators, operation kanban, warehouse heat maps, integration utilities and arbitrary reports that can be created by an AI assistant in user mode. The server and mobile logic remain ordinary readable Python code.
- Strategies tailored by AI to warehouse business logic
- Configurable tasks, constraints and permitted substitutions
- Offline-first mobile terminal with OCR and search
- Analytics, visual warehouse maps and AI-generated reports
You can deploy a full demo solution under your own account — a working system with initial setup, API integration with an external system, load tests, mobile workplaces, users and configured permissions.
Warehouse map reportsOccupancy and turnover visualization
Warehouse indicatorsOperational metrics at a glance
Operation kanbanCurrent work and task state
Independent Android logicWorks without a permanent server connection
Reports created by the AI assistantCreated directly in user mode
Strategies generated for your processStrategy logic remains editable
Integration utilities generated for your logicExternal exchange without a rigid integration core
NodaLogic Solutions
N-Reactor — the AI pipeline behind NodaLogic Solutions
The N-Reactor AI pipeline covers the entire lifecycle of solution creation: from methodology, questionnaires and functional requirements to runtime tests, deployment and release. It combines custom engineering with repeatable production discipline: the model starts from your requirements, while relying on platform methodology, reference architecture, reusable patterns and proven building blocks.
Exactly your requirements
Questionnaires and dialogue become structured facts, a specification and an editable solution schema. You approve what is being built before generation moves on.
Not a blank page
Patterns, methodology, platform standards and reference solutions keep recurring business mechanics from being reinvented every time.
Tested as a solution
The pipeline performs technical, semantic and runtime checks, generates tests and repairs detected defects under control.
You test it in real conditions
Deploy the candidate in your company, run functional, load and integration tests, connect real systems and continue refinement with the model before final acceptance.
You own the result
Download the configuration, inspect it, change it yourself or continue development with any suitable model. There is no required subscription for the generated solution.
From business request to release
A controlled generation pipeline
1Questionnaires, requirements and facts
2Specification and solution schema
3Candidate with methodology and patterns
4Automatic technical checks and refinement
5Semantic test against the specification
6Runtime-test generation and automated testing
7Repair and control
8Free-form work with the user
9Release and delivery
The pipeline in practice
Actual screens from requirement collection, generation, testing and repair
Questionnaire and fact collectionAnswers are formalized and stored as solution facts
The model prepares the specificationRequirements become a concrete build target
Editable solution schemaThe structure is visible before the candidate is built
Detailed node relationships and promptsThe model works from an explicit architecture
Overall pipeline progressThe current stage and completed work stay visible
Semantic test against the specificationThe model checks whether the candidate actually solves the requested task
Runtime tests are generated, executed and checked automaticallyResults are analyzed and defects are repaired under control
Runtime test results and issue controlPasses, failures and follow-up work are visible in one place
Client error snapshots go directly to the modelUser testing becomes part of the repair loop
Skip a stage and return later in chat modeThe controlled pipeline does not prevent free-form refinement
Compact enough to read
The target is a small, structured codebase rather than generated sprawl. For a typical business solution, the server side can stay around 3–4 thousand lines, while mobile logic may range from roughly 500 to 15,000 lines depending on the task.
Pricing
Pay for the build, then keep the configuration
Generation tokens are added at actual model usage. No mandatory recurring fee is attached to the generated configuration.
WMS
WMS Solution
$550
+ generation token cost
- Starts from WMS methodology and reference architecture
- Adapted to your warehouse processes
- Web + mobile business flow
CUSTOM
Custom Solution
$420
+ generation token cost
- Specification and solution schema from your requirements
- Uses reusable platform patterns when relevant
- Final downloadable NodaLogic configuration
NodaLogic's server, web client and configurator core are open source; the mobile client is available free of charge. A generated Solution is delivered as a configuration you can download, inspect and modify.
Contact
Questions about the platform or the pipeline?
A short message is enough. Ask about the platform, the N-Reactor pipeline, generation issues, demo products or any other question.
dv1555@hotmail.com