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HTML is All You Need (for Agents to Make Graphics) - Amol Kapoor, Nori

Jun 28, 2026 · 7:00

Amol Kapoor, CEO of Nori Agentic, argues that coding agents can create high-quality visual artifacts like slides, docs, and videos by using HTML instead of traditional design tools. He explains that agents think in language and structure, not pixels, so tools like PowerPoint or Figma force them into a human-centric approach that fails. By giving agents HTML—a language they understand intuitively—they can produce properly aligned, themed graphics without manually placing coordinates. Kapoor demonstrates this with the 'pelican riding a bicycle' test, where models fail at raw SVG but succeed with HTML. He applies this method at Nori to build board decks, sales decks, and even animated videos purely with HTML and CSS. The episode advocates for 'thinking like the model' and concludes that for graphics, HTML is all you need.

The Bitter Layout or: How I Learned to Love the Model Picker — Maximillian Piras, Yutori

Jul 21, 2025 · 14:24

In this talk, Maximillian Piras argues that conversational interfaces remain dominant in AI apps not because they are natural, but because they are 'conformable' — able to absorb the next model's capabilities without redesign. He calls this pattern 'The Bitter Layout': an input field, turn-by-turn flow, and a model picker, which prioritizes flexibility over usability. Applying Clayton Christensen's theory of commoditization, Piras claims that as long as scaling laws keep models from commoditizing, the interface itself is the commodity, and designers must conform to the next model. He traces the debate over chat UX from Linus Lee (2022) to Julian Lear (2024), and criticizes the model picker as a 'mode selector' that creates usability issues. Looking ahead, Piras suggests designers shift from procedural thinking to setting goals and constraints, and speculates that future AI UX will be 'grown' like a garden rather than built.

Survive the AI Knife Fight: Building Products That Win — Brian Balfour, Reforge

Jul 14, 2025 · 14:10

Brian Balfour, CEO of Reforge, argues that winning in today's AI knife-fight requires answering 'What do I build and why will it win?' by focusing on proprietary data, unique functionality, and unmet customer needs rather than building custom AI. He illustrates with Granola, which entered a crowded AI note-taker market by understanding users wanted help taking better notes, not full automation, and assembled off-the-shelf AI (DeepGram, Anthropic, OpenAI) with unique data (user notes plus transcription) and functionality (Mac app, calendar integration) to create a competitive edge. Balfour warns competitive advantages now last only 2-3 weeks, so teams must sequence smaller moats continuously, each buying time to execute faster. The talk emphasizes treating AI as Lego blocks—assembling pre-trained models, data, and product superpowers into a system that spins a data flywheel.