{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"AI News Today | Julian Goldie Podcast","title":"GLM 5.2 + Hermes Agent: Build a Multi‑Agent Content Machine!","html":"","width":"100%","height":180,"duration":783,"description":"GLM 5.2 + Hermes Agent: Build a Multi‑Agent Content Machine (Kanban Workflow + Auto‑Publish)\nThe script demonstrates GLM 5.2 integrated into Hermes Agent, including a voice-activated Hermes Jarvis setup and multiple model profiles, and showcases projects built with teams of agents such as open-world games, an agent operating system, and a fully automated “content machine.” Using a Kanban-board workflow, separate agents handle keyword research, writing, editing, and video production while a judge agent scores drafts, rejects weak or fabricated work, and forces iteration until quality passes, after which content can be published and deployed to a website. The speaker shows how to switch models via terminal commands or the Hermes model manager, highlights GLM 5.2’s near-Opus 4.8 benchmark performance on agentic tasks, emphasizes lower costs via GLM’s coding plan, and pitches the pre-built system available in the AI Profit Boardroom with coaching, tutorials, and a large community.\n00:00 GLM 5.2 Meets Hermes\n00:55 Content Machine Overview\n02:13 Connecting Models in Hermes\n03:08 Kanban Agent Workflow\n04:10 Reviewing Outputs and Iteration\n05:52 More Builds Agent OS and Games\n06:37 Benchmarks and Cost Advantage\n07:32 Why the Pipeline Wins\n09:05 Four Parts of the Machine\n10:24 Real SEO Use Cases\n11:14 Get the Prebuilt System\n12:01 Classroom Coaching Community\n12:58 Wrap Up and Goodbye","thumbnail_url":"https://img.transistorcdn.com/Tp0JSUlyiAe2ran44b13cjk4ImQYS1QEMKCAa9Q7go0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lNTYz/NGQxMTU2ZTM1MzU5/MDNiYjcwZjJmYTY5/ODJmOS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}