Seeking Best Practices for Independent Slide Regeneration in AI-Generated Training Presentations Using Gamma

Hey there! I'm Saeed, based in South Korea, co-founder and CTO of re-skill.io. re-skill.io is an AI-powered platform that helps companies turn their internal knowledge, documents, policies, and procedures into complete training programs. We generate structured learning content including videos, practice sessions and quizzes. We use Gamma to export trainings into beautiful, ready-to-deliver slide decks for instructors and learners. First of all, huge appreciation to the Gamma team — it has been an excellent fit for our workflow and the quality is outstanding. One capability we’re currently exploring, and would love guidance or feedback on, is independent slide regeneration within a presentation. Our use case: • We generate a full training presentation programmatically • Users review the slides • They want to refine specific slides via prompt (e.g., “simplify this slide”, “add an example”, “make it more visual”) • Ideally, this would regenerate only that slide while preserving the overall presentation coherence, structure, and theme Would love to hear: • Best practices others are using • Whether this is supported in a way we might have missed • Or if this is on the roadmap Happy to connect and share more about our use case as well!