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

Error Cause Solution

Generation Timeout Complex prompt Reduce slide count or simplify

Content Too Long Document exceeds limit Split into sections

Rate Limit Too many requests Implement queue system

Style Not Found Invalid style name Check available styles

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.