GenAI-Logic:
The Missing Half of GenAI
The Missing Half of GenAI
Create new systems from a prompt, or
MCP-ify your existing database.
MCP-ify your existing database.
Speed and Simplicity of Natural Language
Enterprise class: no-compromise Quality, Governance, Extensibility, Architecture
Leverage IT Investment: Standard IDE, Deployment, ...
❌ Popular Vibe WebSites Failed
❌ Best Result: Marginal UI, API
👓 See project and CoPilot analysis
❌ Major Corner-Case Bugs
❌ Not Maintainable Franken-Code
Pages of code - hard to read, maintain
Declarative Approach Required
Is something missing in the backend?
Trains AI to Generate Logic, Not Frankencode
Reliable, Predictable Project Creation
Business Logic: Declarative Rules
Automatic Dependency management drives quality, transparency, and business agility
Logic is nearly half the dev effort
Standard JSON:API
Automatic MCP
Business Logic is Nearly Half the Effort
✅ Good UI Support
See video (2:28 in the video below)
Or use your favorite tools
Buggy: Key Cases Missed
FrankenCode: Maintenance Challenge
Architecture: often created on client (!)
Nearly Half the Effort Remains...
Rules are 40X More Concise Than Procedural Franken-Code
Unique to GenAI-Logic
Transparent to Business Users
Fully Extensible with Python
Governable, No Hallucinations
Natural Language Simplicity
LogicGen to eliminate Franken-response
Declarative Engines for Execution
✅ 1. Automatic Backend - why bother with data mockups?
Create MCP API from existing database
Create database from prompt
✅ 2. Automatic App - why start from scratch?
Kickstart with a running, multi-page application
Customize with your favorite Vibe tools
✅ 3. Declarative Business Logic 🏆
Vibe for UI and logic -- half the effort
See how rules are More Concise than Code
Properly Factored out of UI
✅ 4. Standard IDE, Language, Deployment
Full Extensibility With Python
Human in the Loop Governance
✅ Free and Open Source - Simple Install, Tutorial with Vibe
Speed and Simplicity of Natural Language
Via Browser (new system), or IDE (existing system)
40X More Concise Than Procedural Franken-Code
Unique to GenAI-Logic 🏆
Transparent to Business Users
Governable, No Hallucinations
Your IDE
Standard Container Deployment
Fully Extensible With Python
Logic Automatically Partitioned for Sharing
GenAI Logic allows us to further accelerate the development of innovative software solutions that respond to the growing need for digitalization and process automation. Ontimize Web, our low-code web application framework, allows developers to declaratively implement powerful user interfaces for complex business applications. By integrating Ontimize Web with GenAI Logic, we automatically obtain a robust rules-based backend that fully supports the needs of our frontend and a fully documented API.
Furthermore, the generative capabilities of GenAI Logic allow us to automatically generate 90% of the application from a prompt. That’s really impressive! Most importantly, it means that our developers no longer have to manually declare hundreds of user screens, with their corresponding CRUDs, business logic and API endpoints. They can now focus on understanding the business requirements and designing a user experience that customers will love.
Rowbot is a new breed of data management platform that enables a true Data Mesh architecture. It allows non-technical business users to integrate data from multiple disparate databases and create a unified view of activity across the organization.
We output a unified dataset and pass that to GenAI Logic. In 2 minutes we have a fully functional application, allowing an analyst to see customer activity across all participating systems.
Then we can incrementally introduce business rules. These rules can range from alerts based on the data to propensity flags for marketing. Users cannot believe how quickly a unified view of the data can be presented and then enriched by the GenAI Logic rules engine.
I can’t say enough about ApiLogicServer. I’ve been using ALS for a number of years now having successfully delivered several solutions that started as an ALS app. ALS provides us an advantage when not only starting new projects, but also when gathering requirements. Including ALS as a tool within the SDLC has been instrumental in several migration projects as well. This is our bread and butter, and we use ALS more than any other framework in our projects.
I am excited to see the evolution of ALS into GenAI Logic using AI as the nexus for new project implementations. Thank you Val, Tyler and Thomas for a promising and powerful solution. ALS's iterative capabilities are especially helpful; driving the requirements process live with business stake holders. Getting the requirements right is very important in todays competitive market by helping us keep the costs down and ensuring customers are delighted with the outcome.
*“E-Cometa is a platform designed for the front end, enabling you to generate and maintain your forms on the fly, as well as define and manage processes dynamically. For back-end operations, GenAI allows you to define databases using AI and seamlessly integrate them with ApiLogicServer (ALS). ALS then provides the capability to add simple rules, enabling the creation of complex systems that integrate with your data.
By combining both, you will get a very flexible and powerful solution that allows you to create any web and mobile app easily, making it simple to develop and maintain—even if you are not a technical expert.
We also want to thank ALS for making it possible to migrate from the obsolete Live API Creator (a back-end rules engine with RESTful services), ensuring we could continue innovating with a modern and reliable solution.”*