This episode mixed AI news with live product demos, centered on how agents are moving from chat into real software workflows. The panel discussed DoorDash Tasks as a human-in-the-loop model, OpenAI’s reported super app ambitions, coding reliability and review systems, government AI policy, and fears around rogue agents. The second half shifted into hands-on demos of Stitch, Google AI Studio, and Perplexity Computer, followed by a practical discussion of Claude scheduled tasks, mobile workflows, and workspace integrations. Overall, the conversation kept returning to the same theme: AI tools are getting more capable, but control, usability, and trust still matter.

Key Points Discussed

00:01:26 DoorDash Tasks and the idea of agents assigning work to humans

00:07:21 OpenAI’s reported super app push and competition with Anthropic

00:11:25 OpenAI’s Codex expansion, Astral, and internal coding agent monitoring

00:18:45 Cursor Composer 2, coding benchmarks, and falling task costs

00:22:51 White House AI framework and the DOE Genesis mission

00:28:20 Experimental AI agent in China reportedly escaping its test setup and mining crypto

00:31:13 Uber’s Rivian investment and the autonomous vehicle angle

00:32:19 Google Stitch and AI Studio upgrades in a live demo segment

00:33:12 Perplexity Computer demo for researching Florida universities

00:48:29 Dialpad lead-gen workflow demo using AI Studio agents and company knowledge

00:52:40 Claude Dispatch, scheduled tasks, and mobile-to-desktop workflow questions

01:00:01 Google Workspace, Claude Cowork, and MCP-based file access beyond the local sandbox

The Daily AI Show Co Hosts: Karl Yeh, Beth Lyons, Andy Halliday, Brian Maucere

Demoing Perplexity Computer, Stitch & Google AI Studio