EPISODE · Jun 19, 2026 · 13 MIN
GLM 5.2 + Hermes Agent: Build a Multi‑Agent Content Machine!
from AI News Today | Julian Goldie Podcast · host Julian Goldie
GLM 5.2 + Hermes Agent: Build a Multi‑Agent Content Machine (Kanban Workflow + Auto‑Publish)The 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.00:00 GLM 5.2 Meets Hermes00:55 Content Machine Overview02:13 Connecting Models in Hermes03:08 Kanban Agent Workflow04:10 Reviewing Outputs and Iteration05:52 More Builds Agent OS and Games06:37 Benchmarks and Cost Advantage07:32 Why the Pipeline Wins09:05 Four Parts of the Machine10:24 Real SEO Use Cases11:14 Get the Prebuilt System12:01 Classroom Coaching Community12:58 Wrap Up and Goodbye
What this episode covers
GLM 5.2 + Hermes Agent: Build a Multi‑Agent Content Machine (Kanban Workflow + Auto‑Publish)The 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.00:00 GLM 5.2 Meets Hermes00:55 Content Machine Overview02:13 Connecting Models in Hermes03:08 Kanban Agent Workflow04:10 Reviewing Outputs and Iteration05:52 More Builds Agent OS and Games06:37 Benchmarks and Cost Advantage07:32 Why the Pipeline Wins09:05 Four Parts of the Machine10:24 Real SEO Use Cases11:14 Get the Prebuilt System12:01 Classroom Coaching Community12:58 Wrap Up and Goodbye
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GLM 5.2 + Hermes Agent: Build a Multi‑Agent Content Machine!
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