HeyGen

HTML Is All Agents Need — James Russo, HeyGen

Jul 21, 2026 · 15:13

James Russo, software engineer at HeyGen, argues that HTML, CSS, and JavaScript are the native languages of LLMs and all agents need to create great videos—leading to HyperFrames, an open-source framework that turns agent-authored HTML into deterministic MP4s. By letting the small Gemini 3 Flash model author code first, they ensured the thinnest wrapper won, with only a few data attributes for timing. Rendering works by freezing the browser clock and seeking frame by frame, ensuring everything loads before capturing each frame—enabling deterministic video from any web technology (Three.js, WebGL, Lottie). HyperFrames skills focus on taste and video craft rather than teaching frameworks, raising the floor for single-shot output. The framework has already rendered over 1.3 million videos in 90 days from 267,000 creators, with 15,000 daily renders and 32,000 GitHub stars—proving the approach at scale.

State of Startups and AI 2025 - Sarah Guo, Conviction

Aug 2, 2025 · 23:52

Sarah Guo of Conviction argues that AI's value creation is massive and early, with companies like Cursor reaching $100M ARR in 12 months and Harvey exceeding $70M ARR. She predicts that by end of 2026, AI agents will ship code directly to production, voice AI will replace text for most business communication, and inference costs will drop below a cent per million tokens. Reasoning is a new scaling vector unlocking higher-stakes use cases, and agent startups have increased 50% in the last year. Multimodal models from HeyGen and Eleven are already rocketing past $50M ARR. The model market is more competitive than ever, with GPT-4 costs falling from $30 to $2 per million tokens in 18 months and open-source like DeepSeek competing. Guo advises builders to focus on thick wrappers around LLMs, leveraging domain and workflow knowledge, and warns against generic text boxes: 'The prompt is a bug, not a feature.' Execution, not first-mover advantage, is the moat.

[Full Workshop] Building Conversational AI Agents - Thor Schaeff, ElevenLabs

Jul 31, 2025 · 1:01:42

Thor Schaeff of ElevenLabs demonstrates how to build multilingual conversational AI agents using ElevenLabs' platform, which combines speech-to-text (ASR) with 99-language support, a voice library of over 5,000 voices, and language detection system tools that automatically switch between 31 languages (with plans to expand). The agent pipeline transcribes user speech, feeds it to any LLM (like GPT-4 or Gemini), and streams the response back as speech for low-latency conversations. Schaeff shows real-time language switching in Mandarin, Hindi, and English, and explains how to assign per-language voices (e.g., Chennai-accented Tamil). He addresses safety tooling—voice watermarking, live moderation, and consent verification—and discusses cost (per-minute pricing), latency mitigation via Flash models and RAG, and handling multi-language mixing within a single utterance, though accuracy degrades with more than two languages intermixed.