GenAI Creation For Systems Integrators

More Business, Better Margins, Runtime Revenue

Prompt to Running: 1 Minute.

Full system from a prompt

Kickstart faster than Low Code

Close Business With Instant Results

Unique Declarative Business Logic

Better Margins: Backend Logic Reduced 40X

Speed Developers Will Love

Standard DB, Lang, Tools

Open Deployment

Runtime Revenue - no vendor lockin / fees

Try It Now - Free

Watch: Idea to Running

Running in 1 Minute
- Screens... and logic
Iterate 15 times before lunch
- Get the Requirements Right
Automation Devs can love
- Standard Language, IDE, Container
- Open Source

See as slide show

At a Glance

The basic process is shown here:

Submit your business idea as a prompt into your browser.
The system creates a running system. Review and iterate to get the requirements right.
- Full Multi-table Systems - database, app, api. Not just a single page.
- Declarative Business Logic - not just "your code goes here". See below.
- Governable Agentic GenAI - no hallucinations, rules are deterministic. Details here.
Download and customize in your IDE.

Exploring the diagram -- let's ask ChatGPT about GenAI-Logic 😉

SInce we are talking GenAI, we pasted the diagram above to ChatGPT, and asked it to summarize what it saw. It's response (unedited):

The image appears to be a workflow diagram illustrating a low-code/no-code development process for quickly building business applications using AI-generated logic and customization. Here’s a breakdown of what I see:

1. Idea (Left Panel)

• A user interface (Web-based AI tool) allows users to define their system using natural language.

• The prompt describes a business scenario with Customers, Orders, Items, and Products.

• It specifies business rules such as credit limits, order amounts, and item pricing.

• Highlights that the system can be generated and run in 1 minute with business logic automation.

2. Run (Top-Right Panels)

• The generated system includes a multi-page, multi-table web application.

• It provides an admin dashboard for managing customers, orders, and products.

• An API Logic Server is automatically created, exposing REST APIs for the system.

• The system appears to be functional and ready for use immediately after generation.

3. Customize (Bottom-Right Panel)

• A code editor (VS Code) shows Python-based declarative business logic.

• The logic enforces constraints (e.g., customer balance must not exceed credit limit).

• Debugging tools and breakpoints are visible, indicating that the user can inspect and modify the system behavior.

• A logic trace (console output) logs business rule execution, showing automated updates based on the defined logic.

Key Takeaways

• The process transforms a natural language description into a working application with APIs and business logic.

• Users can run and test the generated system immediately.

• Developers have full control to customize the logic via code.

• The tool supports rapid low-code development, particularly for database-driven business applications.

This workflow seems to be an example of AI-driven low-code development—likely related to GenAI Logic or similar technologies that generate database applications with embedded business rules.

Would you like a more detailed analysis or thoughts on how this could fit into your projects?

1. Close More Business: Results in the Sales Cycle

As shown at right, you can provide a prompt and create a system in 1 minute. And iterate it.

Imagine hosting a Design Lab: invite your prospects in, and literally build a first draft. Iterate it based on their comments from using live screens.

So, while your competitors are pushing documents that act as sleep aids, your proposal can differentiate with running software. The message is simple and clear:

We understand what you want
And we can deliver. In fact, we've already started

2. Deliver With Better Margins: Declarative Logic

Starting projects with a framework is highly complex: time-consuming, and requires near-rocket-scientist expertise. This can limit delivery capacity, and increases the risk of failures.

With GenAI Logic, the prototype is not throw-away. It's the first rev of the project.

It's a standard project: developers use their IDE and familiar tools
- - You get results faster than Low Code - without even database design or screen painting - without restrictions on IDEs or deployment
Your core framework is automated - an enterprise class API with filtering, sorting, pagination, optimistic locking -- right out of the box. UI Dev is unblocked.
Use unique declarative business rules to reduce backend work by 40X

No Compromise Dev Tooling

Automation should not preclude the use of valuable tools:

Projects are standard directories (details here) you can open in your IDE - use Code Editors, Debuggers, etc. GenAI Code Helpers too.
Customize using Python and libraries
Standard SQL Databases
Standard Container deployment

As shown at right, this means you can customize the logic, the API, add custom apps, etc.

UI Dev Unblocked: Automatic API Creation

A common issue for dev teams is that the UI team is blocked, waiting on API dev. This serializes development, and increases stress on the UI team.

With GenAI-Logic, your prototype includes a complete JSON:API. Your dev teams - and app integration teams - can begin immediately.

Declarative Business Logic: the Key Differentiator

It's Half the Effort

Business Logic is typically nearly half the effort for most systems. It's the iceberg under the API.

But most products provide only "your code goes here", often in a proprietary scripting language. More is required.

Domain Logic, Integration Logic

Business Logic addresses:

Integration logic for participating in a larger enterprise-level interaction with other systems (e.g., above, "send to order to shipping...")
Domain logic for multi-table derivations and constraints (e.g., above, "balance is the sum of orders...")

Business Logic Automation

GenAI-Logic automates business logic:

1. Provided in Natural Language
2. Expressed as Rules (intents) of how data is to be derived and validated
  - - Concise: rules are 40X more concise than procedural code, since dependency management is automated
3. Declarative, ensuring:
  - - Quality: rules are automatically applied (re-used for) all relevant transactions (inserts, updates, deletes) - no missed corner cases
    - Maintainability: rules can be stated (or later added) in any order - no "archaeology" required to determine where to insert code
    - Performance: the Business Logic Agent automates and optimizes data access

Business Logic

The iceberg under the API

Spreadsheets also provide declarative logic. The sum formula watches and reacts to inserts, updates and deletes in the AmountTotal column. Business Rules provide the same level of abstraction for transaction processing.

3. Better Long Term Value

Logic-enabled projects are far simpler to iterate (logic is automatically ordered and invoked), so future maintenance cycles are far more efficient.

This builds client strong client relationships for repeat business in the future.

Try it now

Create a system - it's free: click here
Explore the documentation here.
Contact us at info@genai-logic.com
Open source at GitHub.

Fernando Vazquez Nuñez

CEO | Director General

(Strategic Partner)

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.

Mark McLellan Director

(Partner)

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.

Thomas G. Peters

Imagery Business Systems, LLC

(Partner)

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. Data is our bread-n-butter, and we're usong 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 P. 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.

César Quinteiro Rendo

CTO Intergal S.Coop. G.

(Partner)

*“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.”*

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