Hermes Agent Masterclass: Kanban (Episode 9)

Hermes Agent Masterclass: Kanban (Episode 9)

Title history
  • Hermes Agent Masterclass: Kanban (Episode 9) — observed on 20261111-1954 UTC (YouTube)
🎙 Max Oro 👥 264 📅 July 6, 2026 ⏱ 13 min 👁 139 📄 tutorial 🧭 2026-11-11
Available in: English (current) Français

Keywords

KanbanHermes Agentworkflowautomationcontent creation

Summary

In this ninth episode of the Hermes Agent Masterclass, Max Oro explains how to use Kanban boards within Hermes to manage durable workflows across multiple profiles. He distinguishes Kanban from cron jobs and sub-agents, emphasizing that Kanban is for structured, multi-step processes with dependencies and handoffs. The video includes a definition, when to use or avoid Kanban, and a detailed use case: repurposing a long YouTube video into social media content (5 Instagram and 5 LinkedIn posts). Oro demonstrates the setup, showing how to create a board with tasks, assign them to specialized profiles, and track progress via a dashboard. He also discusses the importance of defining clear roles and dependencies, and warns against using Kanban for simple or parallel tasks. The tutorial concludes with a live example of the system processing a video and generating content, stressing that a good prompt gives a response, but Kanban gives a durable workflow.

151 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides practical, hands-on value for users of Hermes Agent, offering a clear methodology for structuring complex AI-driven workflows. The argumentation is based on the creator’s direct experience and logical reasoning, effectively contrasting Kanban with other automation tools. The use-case is realistic and well-illustrated, showing tangible outputs. However, the content is limited to a specific tool, and the creators’ claims about Hermes’ intelligence are not independently validated. The reasoning is coherent, but it lacks critical examination of potential limitations or alternatives.

Scientific Rigor, Source Quality, Title Accuracy

The video does not cite external scientific sources, relying instead on the creator’s expertise and platform documentation. The links in the description point to the official website and a consultation booking page, which are relevant but do not provide rigorous scientific backing. The title matches the content accurately. The presentation is clear and well-structured, with chapter markers, but the absence of citations makes it less rigorous from a scientific standpoint.

167 words

Title / Content Match

The title accurately reflects the content: a masterclass focused on the Kanban feature of Hermes Agent, consistent with the episode numbering.

Quality & Reliability

7/10

The video is an expert tutorial by the creator of the tool, demonstrating practical use. However, it lacks external sources or independent verification, relying heavily on personal claims and demonstrations. The information is coherent but not critically assessed.

Chapters

Cited Sources

  • May Agent Official Site — Official website referenced in the video description, likely containing documentation and product information.
  • Max Oro's Discovery Call Booking — A scheduling link for a discovery call, provided as a call-to-action in the description.

Contribution & Novelties

The video contributes by demonstrating a concrete implementation of Kanban within an AI agent framework, a topic not extensively covered in existing tutorials. It offers a practical framework for turning a single prompt into a structured production workflow, which is valuable for content creators and AI users.

Pour aller plus loin :

  • Kanban (methodology) — Relevance: Provides background on the Kanban system used in project management, which underpins the tool’s design.
  • Workflow management — Relevance: Explains the broader concept of workflow, helping to understand the context of the tutorial.
  • AI agent — Relevance: General reference on AI agents, useful for understanding the Hermes Agent framework.

105 words

Radar Profile

The radar profile shows moderate to high scores across all dimensions, indicating a solid but not exceptional technical tutorial. The strongest points are information quality and reliability, while quantity and technical depth are slightly lower, reflecting the short duration and focused scope.

Reliability 7/10