Agentic AI PowerPoint Builder: Productionizing a Multi-Agent System for Automated PPTX Generation

Abstract

This project presents the productionized version of the Agentic AI PowerPoint Builder, a multi-agent system that automatically generates complete PowerPoint presentations from simple user inputs such as topic, slide count, content depth, font style, and image preference.

Originally developed as a Module-2 prototype, the system has now been upgraded to a Module-3 production-ready application with:

• Robust error handling

• Automated testing using pytest

• Integration validation across agents

• Deployment as a live Streamlit application

• Comprehensive testing documentation

The result is a fully deployable, quality-assured agentic AI system that demonstrates real-world readiness beyond experimentation.

1. Motivation

Generating professional presentations manually requires:

• Structuring slide flow

• Writing concise content

• Finding relevant visuals

• Maintaining consistent formatting

While LLMs can generate text, end-to-end presentation generation requires coordinated reasoning, making it an ideal use case for multi-agent AI systems.

2. From Prototype to Production (Module-3 Goal)

Module-2 focused on:

• Building a multi-agent LangGraph workflow

• Integrating external tools

• Generating PPTX automatically

Module-3 extends this into production readiness by adding:

• Reliability

• Testing

• Deployment

• Documentation

• Observability

3. System Overview

The application allows users to provide:

• Presentation topic

• Number of slides

• Font style

• Content depth (Minimal / Concise / Detailed)

• Image inclusion preference

• The system then produces a downloadable, fully formatted PPTX presentation automatically.

4. Multi-Agent Architecture

The system uses LangGraph orchestration with four specialized agents:

• Slide Planner Agent

• Creates structured slide outlines and titles.

• Content Writer Agent

• Generates slide-wise bullet content based on requested depth.

• Visual & Image Agent

• Fetches relevant royalty-free images using an external API.

• PPT Builder Agent

• Constructs the final PowerPoint file using python-pptx.

Figure 1: Multi-agent LangGraph architecture for automated PPT generation.

5. Tool Integration

The production system integrates multiple external tools:

• LLM generation engine

• LangGraph orchestration

• Image retrieval API

• python-pptx for presentation creation

• Streamlit for deployment interface

This satisfies multi-tool agentic orchestration requirements.

6. Live Deployment

The system is publicly deployed and accessible online:

Live App:
https://agentic-ppt-builder-ngc9r4gbrguxnjq7tw7kqg.streamlit.app/

Users can generate and download presentations directly from the browser, demonstrating real production usability.

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Figure 2: Deployed Streamlit interface for presentation generation.

7. Testing and Quality Assurance

To ensure production reliability, a comprehensive pytest testing suite was implemented covering:

Unit tests for each agent

Edge-case validation

Mocked external API behavior

Full multi-agent pipeline integration

All tests executed successfully, confirming stable end-to-end functionality.

Figure 3: Pytest execution showing all automated tests passing.

8. Testing Documentation

A dedicated testing report document records:

Test names

Components tested

Methods used

Expected vs actual results

Pass/fail outcomes

This provides transparent production validation evidence.

9. Production Readiness Achieved

The upgraded system now demonstrates:

Robust error handling

Safe API interaction

Automated regression testing

Stable multi-agent orchestration

Public deployment availability

Therefore, the Agentic AI PowerPoint Builder can be considered Module-3 production ready.

Conclusion

This project shows how an experimental multi-agent AI prototype can be transformed into a fully deployable, quality-assured production system.

By combining:

• LangGraph-based agent collaboration

• External tool integration

• Automated testing

• Live deployment

the Agentic AI PowerPoint Builder fulfills ReadyTensor Module-3 objectives and demonstrates the real-world potential of agentic AI systems.