Gamma Core Workflow A

Gamma Core Workflow A: AI Presentation Generation

Overview

Implement the core workflow for generating presentations using Gamma's AI capabilities from various input sources.

Prerequisites

• Completed gamma-sdk-patterns setup
• Understanding of async patterns
• Content ready for presentation

Instructions

Step 1: Prompt-Based Generation

import { GammaClient } from '@gamma/sdk';

const gamma = new GammaClient({ apiKey: process.env.GAMMA_API_KEY });

async function generateFromPrompt(topic: string, slides: number = 10) {
  const presentation = await gamma.presentations.generate({
    prompt: topic,
    slideCount: slides,
    style: 'professional',
    includeImages: true,
    includeSpeakerNotes: true,
  });

  return presentation;
}

// Usage
const deck = await generateFromPrompt('Introduction to Machine Learning', 8);
console.log('Generated:', deck.url);

Step 2: Document-Based Generation

async function generateFromDocument(filePath: string) {
  const document = await fs.readFile(filePath, 'utf-8');

  const presentation = await gamma.presentations.generate({
    sourceDocument: document,
    sourceType: 'markdown', // or 'pdf', 'docx', 'text'
    extractKeyPoints: true,
    maxSlides: 15,
  });

  return presentation;
}

Step 3: Structured Content Generation

interface SlideOutline {
  title: string;
  points: string[];
  imagePrompt?: string;
}

async function generateFromOutline(outline: SlideOutline[]) {
  const presentation = await gamma.presentations.generate({
    slides: outline.map(slide => ({
      title: slide.title,
      content: slide.points.join('\n'),
      generateImage: slide.imagePrompt,
    })),
    style: 'modern',
  });

  return presentation;
}

Step 4: Batch Generation Pipeline

async function batchGenerate(topics: string[]) {
  const results = await Promise.allSettled(
    topics.map(topic =>
      gamma.presentations.generate({
        prompt: topic,
        slideCount: 5,
      })
    )
  );

  return results.map((r, i) => ({
    topic: topics[i],
    status: r.status,
    url: r.status === 'fulfilled' ? r.value.url : null,
    error: r.status === 'rejected' ? r.reason.message : null,
  }));
}

Output

• AI-generated presentations from prompts
• Document-to-presentation conversion
• Structured content transformation
• Batch processing capability

Error Handling

Resources

• Gamma AI Generation
• Prompt Best Practices

Next Steps

Proceed to gamma-core-workflow-b for presentation editing and export workflows.

Examples

Basic usage: Apply gamma core workflow a to a standard project setup with default configuration options.

Advanced scenario: Customize gamma core workflow a for production environments with multiple constraints and team-specific requirements.