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GenAI Life Cycle

Why GenAI

A common project experience is:

  • Weeks (or months) to get running screens
  • Then, when Business Users explore the screens, it becomes clear there were basic misunderstandings

Which leads to our premise:

  1. Instant screens (Agile "Working Software"); collaborate, and iterate to get the requirements right

  2. Kickstart the project with a solid backend - a Database, API and Logic from declarative / Natural Language models

    • Logic in particular is key: security and multi-table derivations / constraints constitute as much as half your project: declarative rules make them 40X more concise   🏆

    • The remaining logic is built in your IDE using standard Python, providing the speed and simplicity of AI - including logic - with the flexibility of a framework

 

Life Cycle

As shown in the Life Cycle outline below, this approach is complementary to your existing UI Dev tools such as UI frameworks or Low Code Screen Painters.

  • In addition to existing UI Dev tools, please explore automation support for Ontimize.

As illustrated by the green graphics below, we seek to provide value in the Inception Phase (get the requirements right), and for backend development.

life-cycle

 

How does it work

how does it work

Web/GenAI

  1. Uses GenAI APIs to create databases
  2. Uses API Logic Server to create projects from databases
  3. Provides services to deploy and run the create projects

Gen/AI is used only in step 1, so once created, projects are stable and do not exhibit AI hallunications.

For more information, please see FAQ - Low Code.