Most AI presentation tools have been a huge letdown for serious business needs. Sure, they can spit out some pretty slides with generic content, but when you need to convince a client or your boss with real data and sharp insights, they almost always fall flat. I was scrolling through YouTube when I stumbled upon a video from an AI professional that finally connects the dots. The creator lays out a brilliant three-step workflow that bridges the gap between deep analysis and slick presentation design.
I was blown away by how logical it is. The core problem is that we’ve been asking one tool to do two very different jobs: generating insights and visualizing them. These are separate tasks that require separate tools. This innovator’s method fixes that by creating a smart stack, using each AI for what it does best.
The ‘Strat & Design’ Stack 💡
The key idea is to stop looking for a single magic-button solution. Instead, you create a workflow where one AI handles the heavy lifting of research and strategy, and another handles the visual design. The mind behind it demonstrated this by recreating a real market-entry pitch deck he once used as a salesperson at Google. It’s a process of using ChatGPT for deep research and storytelling, then passing the structured output to Gamma for the final polish. This is the first time I’ve seen a process that feels truly professional and repeatable.
📌 Insight 1: Go Deep on Research to Find the ‘Why’
First, you need actual insights, not just facts. The expert shows that generic AI prompts get you generic results. The solution? He uses ChatGPT’s “Deep Research” feature, but with a highly specific and comprehensive prompt. For his example of a skincare brand exploring market entry, he asked the AI to:
- Analyze three markets (Japan, Indonesia, UK) for a specific demographic (young adult males).
- Apply a consulting framework, Porter’s Five Forces, to evaluate the competitive landscape in each market.
- Deliver an executive summary first, followed by supporting data.
- Most importantly, provide a “ranked market scorecard” with a clear recommendation on which market to prioritize.
This is the crucial step most people miss. The AI ran for about seven minutes and produced a detailed report with a clear winner, Indonesia, backed by actionable reasons, like the need for halal certification and the importance of local e-commerce platforms like Shopee. This isn’t just a presentation; it’s a strategic document. This savvy professional even shared a pro-tip: use a custom GPT designed to help you build these complex, deep-research prompts from a single sentence.
📌 Insight 2: Structure Your Findings into a Compelling Story
Once you have the data, you can’t just dump a research report into slides. You need a narrative. In the same chat thread (but with “Deep Research” turned off), the creator then tasked ChatGPT with a new job: become a storyteller. The prompt instructed the AI to transform the dense report into a structured presentation outline for a CMO. He specifically asked it to:
- Recommend the top market (Indonesia) with a “bottom line up front” approach.
- Structure the deck using the SCQA framework (Situation, Complication, Question, Answer) to build a persuasive argument.
- Include a dedicated slide explaining why the other two markets were not the right choice, which helps decrease decision fatigue for the executive.
What came back was a perfectly structured 8-slide outline. Each slide had a clear purpose and supporting points that logically guided the audience from the problem to the solution. For instance, it highlighted a 54% year-over-year search growth for men’s acne wash in Indonesia, a killer insight that immediately shows opportunity. This step turns raw data into a story that convinces people to take action.
📌 Insight 3: Use a Design AI for Polish, Not for Thinking
Finally, with a solid outline in hand, it’s time to make it look good. This is where tools like Gamma shine. The expert pasted his ChatGPT-generated outline directly into Gamma. The key here is that the heavy lifting is already done. In Gamma’s settings, he chose options to use his existing text (“condense”) rather than generating new content. He let the tool handle the layout, theme, and initial imagery.
However, the most important part of this stage is human refinement. The AI-generated deck was about 80% complete. The contributor then spent time making critical edits:
- Refining Text: He corrected minor inaccuracies and used Gamma’s “Edit with AI” feature to generate more powerful, insight-led slide titles.
- Improving Visuals: He swapped out generic layouts for more visual ones, adding relevant stock photos from Unsplash instead of just relying on AI-generated images.
- Adding and Adjusting: He added a new data table comparing market sizes and used Gamma’s cool features, like the image “focus point” tool and adding icons, to improve clarity.
The final result was a professional, data-driven, and visually appealing presentation. He also gave an honest review, noting Gamma’s awesome “spotlight” feature for presenting but pointing out that exporting to other formats like Google Slides can be messy. It’s a powerful tool, but you need to know its limits.
This whole workflow makes so much sense. It’s about using AI as a supercharged assistant at each stage, with human judgment guiding the entire process. The person who shared it provides the full step-by-step and even shares his prompt templates in the video description. It’s definitely worth checking out the full post for all the details.