Summary
Creator Sharbel A. walks through six Hermes Agent workflows designed to move the tool from novelty to genuine daily productivity infrastructure. Hermes is an AI agent platform featuring tools, persistent memory, skills, sub-agents, scheduled jobs, file access, and Telegram integration — and the central argument of the video is that its value only materializes when users build repeatable systems rather than treating it as a chat interface.
The six workflows demonstrated include a morning command center (Hermes asks for the day’s top priority and proposes specific tasks it can handle), a memory wiki that accumulates durable personal context over time, a content intelligence workflow, a long-running goal workflow using slash-goal prompting, a computer administrator dashboard for operational oversight, and a self-improving skill-building loop triggered whenever the user corrects Hermes’s output. The creator shows several of these live, including a real-time session where voice messages are used to answer Hermes’s clarifying questions while designing a Telegram bot to track client communication sentiment and response SLAs across agency accounts.
A standout segment covers meta-prompting as a workflow design technique: before running a complex slash-goal, asking Hermes to generate the goal prompt itself by surfacing clarifying questions around deployment targets, success criteria, safety rules, data sources, and verification methods. This structured approach — humans retain judgment, Hermes handles repeatable execution — is framed as the core mindset shift required to extract sustained productivity value from autonomous AI agents.
📺 Source: Sharbel A. · Published July 01, 2026
🏷️ Format: Tutorial Demo
