Descriptions:
Jeff Su’s video tackles a real gap in AI presentation workflows: the disconnect between text-focused models like ChatGPT, Gemini, and Claude — which produce sharp arguments but can’t make polished slides — and visual tools like Gamma and Beautiful.ai, which produce attractive layouts but often with generic content. The solution presented is a combined workflow that feeds strong, pre-written outlines into Gamma to get both analytical depth and visual quality.
The tutorial uses a fictional Google-Apple partnership pitch as a working example, walking through how to generate a first draft in Gamma using the ‘preserve exact text’ option (which keeps strong slide titles intact), then using the Gamma agent to handle multiple rounds of realistic stakeholder feedback. Four specific revision scenarios are covered: repositioning a regulatory slide for better narrative flow, adding a web-sourced AI market share table as a new slide, verifying and updating a user statistic with an official OpenAI source and footnote, and converting a text-heavy slide into a waterfall chart visualizing 3.25 billion combined Android and iPhone devices.
Practical tips include selecting Flux Pro or Nana Banana Pro as the image model for higher visual quality, leaving Gamma’s ‘additional instructions’ field blank to avoid conflicting with its system prompts, and using the agent’s revert option after each change. The video is sponsored by Gamma and includes a link to Su’s weekly Google Workspace productivity newsletter.
📺 Source: Jeff Su · Published March 03, 2026
🏷️ Format: Tutorial Demo
