Charlie Guo

Codex is changing how technical teams ship across the software development lifecycle, from feature implementation to code review and automation. But the real unlock comes when these practices move beyond a single workflow and become shared systems a team can trust. In this hands-on session, you'll use Codex across real development and knowledge-work scenarios: structuring tasks, supervising agentic work, coordinating subagents, using plugins and MCPs, and combining Codex with OpenAI's frontier reasoning, coding, and multimodal models. Bring your laptops and leave with reusable demos and a set of Codex recipes your team can adapt. Speakers: Charlie Guo — OpenAI; Gabriel Chua — OpenAI.

Too many voice AI integrations still treat speech as fancier chat: audio in, audio out. But we're at a point where speech can be a control plane for software, and most developers are unaware that voice has become a capability overhang. Current realtime models can understand intent, call tools, speak while work is underway, recover from corrections, and decide what the user actually needs to hear. As a result, we're seeing three practical patterns emerge: voice-to-action, systems-to-voice, and voice-to-voice. We’ll show how each pattern changes the architecture, where Realtime 2’s reasoning and tool-calling matter, and why chained STT / LLM / TTS systems start to break down as the interaction patterns become richer.