Holistic Generation of Slide Decks

Good morning everyone. Before we begin, look at the slide behind me. That glass banana... it's not a 3D render I spent days building in Blender. It's not a photograph. It's fully generated by AI. Today, I want to talk about a radical shift in how we create presentations. For decades, we've been stuck in the same workflow: finding templates, dragging boxes, and forcing disparate elements to look good together. But what if we could stop 'assembling' slides and start 'rendering' them? I'm going to introduce you to a concept I call the 'Generative Kernel'. This is a new paradigm where we use Nano Banana Pro not just to make stickers or background images, but to generate entire, holistic slide decks that rival the visual fidelity of a Steve Jobs keynote. We're going to explore how we can move from the tedious collage work of the past to a future where high-end design is computationally generated. Let's dive in.

Let's frame the problem. When most of us make slides, we are fighting a losing battle against fragmentation. You find an icon from one pack, a stock photo from another, and a font that doesn't quite match either. The result is what you see on the left: text that fights for attention and visuals that feel disjointed. But look at the right side of this slide. That transformation from chaotic plastic bricks into a perfect liquid metal sphere... that is the shift we are aiming for. We want to move from 'assembling'—where you pile independent blocks on top of each other—to 'rendering'. In a rendering workflow, the entire slide is calculated as a single, cohesive scene. Light, shadow, material, and perspective are unified. It’s the difference between building a Lego house and pouring a continuous concrete sculpture. We aren't just making slides faster; we are fundamentally changing the nature of the output to achieve a level of visual integrity that was previously impossible for non-designers.

To really appreciate this, let's look at where we are coming from. This is the 'Old Way'. Does this look familiar? It’s the classic 'Bad PPT' aesthetic. You have a stark white background. You have a generic font like Arial. And then you have those icons... a flat gear, a generic stick figure, a computer. They don't share a line weight, they don't share a perspective, and they certainly don't look like they live in the same universe. This is what happens when you build 'bottom-up'. You are hunting for assets one by one. You spend hours manually aligning boxes, tweaking font sizes, and trying to put lipstick on a pig. But no matter how much you align them, they never truly cohere. This workflow forces us to be layout operators rather than storytellers. It consumes our time and gives us mediocrity in return.

Now, look at the 'New Way'. This is the same content—Process, People, Technology—but reimagined through a Generative Kernel. Notice how the concepts aren't isolated icons anymore. They are organic glass capsules, connected by living strands of light. They feel like part of a single ecosystem. The light that hits the 'Process' capsule refracts and illuminates the 'People' capsule. They are physically aware of each other. This is 'Holistic Scene Generation'. We didn't place these objects manually x-pixels apart. We described a scene, and the AI rendered the relationships. The visual integrity is perfect because it's calculated, not assembled. This visual consistency is what gives high-end presentations their power—subconsciously telling the audience that your ideas are coherent, connected, and polished.

However, I have to be honest with you. If you just go to Nano Banana Pro right now and ask for 'a presentation about AI', you will fail. I tried this. And I hit three massive walls, which I call the Reality Check. First, 'Entropy'. AI has no memory of the previous slide. Slide 1 might be glass, Slide 2 might be cartoon, Slide 3 might be photorealistic. The styles drift uncontrollably. Second, 'Hallucination'. You ask for a QR code, it paints a maze that doesn't scan. You ask for text, it gives you alien hieroglyphs. It creates beautiful nonsense. Third, 'Isolation'. You get a flat JPG. You can't click a link. You can't select text. You can't play a video. It's a dead image. So, while the visual promise is incredible, the practical reality is broken. We need a way to harness the power while taming the chaos.

This brings us to the solution: The Generative Kernel. Think of it like this slide shows: It's a deterministic container for probabilistic creativity. At the center, we have that swirling, colorful nebula. That is the AI—Nano Banana Pro. It’s creative, wild, and unpredictable. It provides the magic. But if we just let it spill out, it makes a mess. So we encase it in a rigid, structural sphere—our 'Container'. Visualized here, Layer 1 is 'Deterministic Code'—things like HTML/CSS that never fail. Layer 2 is the 'Probabilistic AI' that generates the pixels. And Layer 3 consists of our 'Constraints & SOPs'—the rules we give the AI to keep it in check. By building this architecture, we get the best of both worlds: the infinite creativity of AI, held within the reliable bounds of software engineering.

Let's break down the three techniques that make this work. Technique number one is 'Visual Anchoring'. We all know that describing a visual style in words is hard. 'Make it professional' means different things to everyone. So instead of describing, we show. On the right, you see our 'Style Matrix'. This is a reference image we feed into every single generation call. It acts as a visual anchor. We tell the AI: 'Don't imagine a style. Look at this image, and renders the new content using *these* materials, *this* lighting, and *this* vibe.' As you can see in the transformation here, we take a simple input—a wireframe idea—and pass it through the lens of the Style Matrix. The result is that every slide, no matter the content, feels like it was shot by the same photographer in the same studio.

Technique number two is 'Asset Injection'. This solves the hallucination problem. AI is terrible at drawing precise things like logos or QR codes. So we don't let it draw them. Instead, we take the raw pixel assets—like the Superlinear logo or this QR code—and we 'inject' them into the prompt as image inputs. But here's the magic: We don't just paste them on top. We ask the AI to 'embed' them into the scene. Look at that QR code on the ceramic surface. It's not a sticker. It has texture, it has shadow, it looks etched into the material. The AI handles the lighting integration, but the data fidelity remains perfect. It scans. It works. This is Context Curation: We provide the truth (the pixels), and the AI provides the beauty (the integration).

The third technique is 'Delayed Rendering'. Generating these images is expensive and slow. If you re-render every time you fix a typo, you'll go broke and crazy. So we borrowed a concept from software engineering. We separate 'Source' from 'Build'. We write everything in Markdown text first—our 'Content Logic'. We iterate on the story, the flow, the words. It's fast and cheap. Only when we 'Lock-down' the content—that padlock you see—do we send it to the 'Batch Render' engine. This engine creates the slides in one go. It’s an optimization that allows us to focus on the narrative structure without being distracted by visual tweaks until the very end. It turns presentation design into a compile process.

I want to end on a philosophical note. In software, we have a principle called DRY: Don't Repeat Yourself. We build efficient, standardized products like that grey chair on the left. It works, but it's static. It's boring. But in this new era of AI, we are moving 'Beyond DRY'. We are moving towards 'Generative Potential'. Look at the structure on the right. It's self-assembling, dynamic, and unique. When we deliver a system like this Generative Kernel, we are optimizing for 'Intention Fidelity'—how close can we get to what's in your head? And 'Expression Range'—how many differenet things can you create? We are no longer just delivering a static deck. We are delivering the potential to generate infinite decks.