---
title: "The End-to-End AI Stack – A Real Guide for Developers to Code, Create, and Execute"
description: "Artificial Intelligence tools are on the rise, from writing assistants to coding helpers and automation platforms. However, many professionals struggle to compare these tools effectively. https://srin..."
url: https://srinimf.com/2026/03/02/the-end-to-end-ai-stack-a-real-guide-for-developers-to-code-create-and-execute/
date: 2026-03-02
modified: 2026-10-11
author: "Srini"
image: https://i0.wp.com/srinimf.com/wp-content/uploads/2026/03/pexels-photo-16461434.jpeg?fit=1880%2C1253&ssl=1
categories: ["ai"]
tags: ["AI tools"]
type: post
lang: en
---

# The End-to-End AI Stack – A Real Guide for Developers to Code, Create, and Execute

[](https://srinimf.com/)Artificial Intelligence tools are on the rise, from writing assistants to coding helpers and automation platforms. However, many professionals struggle to compare these tools effectively.

Related[AI Agents for Beginners: Everything You Need to Know](https://srinimf.com/2026/05/10/ai-agents-for-beginners-everything-you-need-to-know/)

This is where the AI Stack become[s important](https://srinimf.com/2019/03/10/top-components-behind-the-scenes-in-hyperledger-fabric/). Modern AI tools like ChatGPT, NotebookLM, and Antigravity serve different purposes, and [understanding the](https://srinimf.com/2016/01/20/2-incredible-ideas-on-deleting-a-vsam-record-in-cics/)ir roles helps in:

- Avoiding tool overload
- Building smarter workflows
- Improving productivity
- Designing AI-powered systems

Related[The Purpose of ‘When Other’ in COBOL EVALUATE](https://srinimf.com/2016/09/24/how-to-control-cobol-evaluate-logic/)

## Layer 1: Conversational AI (Thinking Layer)

These foundational tools assist with:

- Brainstorming
- Learning
- Problem-solving
- Idea generation

**Examples:** ChatGPT, Claude, Gemini
**Role:** Thinking partners

Related[COBOL String modification idea using pointer statement](https://srinimf.com/2012/03/28/cobol-string-modification/)

## Layer 2: Knowledge AI (Understanding Layer)

These foundational tools assist with:

- Brainstorming
- Learning
- Problem-solving
- Idea generation

**Examples:** NotebookLM, Humata, Glean
**Role: **AI analysts

Related[CICS: Abend Options ‘ABCODE’,’CANCEL’,NODUMP’](https://srinimf.com/2012/11/02/cics-abend-options-abcodecancelnodump/)

## Layer 3: Creative AI (Creation Layer)

These tools generate:

- Content
- Visuals
- Designs
- Videos

-

Related[VaGen Vs CoolGen 5 Top Differences](https://srinimf.com/2013/03/12/mainframe-vagen-coolgen/)

**Examples: **Jasper, Midjourney, Runway
**Role:** AI creators

Related[Top 10 Questions To Ask At The End Of Job Interviews](https://srinimf.com/2014/06/12/end-of-job-interview-questions/)

## Layer 4: Developer AI (Build Layer)

These tools help engineers by supporting:

- Code generation
- Architecture suggestions
- Debugging
- Workflow creation

**Examples**: GitHub Copilot, Cursor, Antigravity
**Role:** AI engineers

Related[Mainframe Rexx for Beginners (1 of 3)](https://srinimf.com/2012/05/13/rexx-beginers-for-mainframe-1of-3/)

## Layer 5: Workflow AI (Execution Layer)

Here, AI shifts from thinking to action, automating:

- Tasks
- Workflows
- System connections

**Examples**: Zapier, Make, UiPath
**Role:** AI operators

Related[QMF Commands for Senior Mainframe Programmers](https://srinimf.com/2015/06/14/qmf-commands-for-senior-mainframe-programmers/)

## The AI Stack Diagram

- Execution → Workflow AI
- Build → Developer AI
- Create → Creative AI
- Understand → Knowledge AI
- Think → Conversational AI

Related[Named Vs. Unnamed PL/SQL Procedures](https://srinimf.com/2022/01/15/named-vs-unnamed-pl-sql-procedures/)

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