Your AI Presentations Look Great (but say nothing)

TL;DR

AI tools like Gamma create beautiful but hollow slides; combining them with LLM-driven iteration fixes the substance problem.

Key Points

• 1.The core gap: Tools like Gamma produce polished visuals with generic content, while ChatGPT/Claude write sharp arguments but can't design slides — the workflow bridges both.
• 2.Generation is the easy part (only ~20% of the work): Paste a structured outline into Gamma using `---` slide separators, select "preserve exact text," and generate in under 2 minutes.
• 3.Iteration is the real workflow (80% of the work): Six realistic stakeholder scenarios are demonstrated — moving slides, adding web-sourced market share tables, verifying stats (OpenAI's 400M MAU figure), converting text to waterfall charts, and combining redundant slides.
• 4.Agent precision matters: Vague prompts produce "dumb intern" outputs — adding constraints like "stick to three talking points maximum" dramatically improves results from Gamma's agent.
• 5.Translation tip: Duplicate the deck before translating (or Gamma overwrites the original); then upload both PDFs to Gemini to refine the translated version for natural-sounding language.