Descriptions:
Sharbel A. lays out five concrete workflows for generating real economic value with Hermes agent, framing the AI not as a “magic money printer” but as a junior operator that handles repetitive research, monitoring, and drafting tasks around a legitimate business offer. The video is notable for including full example prompts for each use case rather than speaking in abstractions.
The five workflows covered are: (1) B2B lead generation — using Hermes to research and qualify 25–50 target companies, draft personalized outreach angles, and log everything to a sheet or Notion without auto-sending; (2) content research — building a weekly YouTube intelligence brief that captures competitor performance patterns and surfaces three recommended video ideas; (3) real-time trend scouting — a morning monitor across X, YouTube, Hacker News, and AI news sources that flags fresh opportunities with a draft hook; (4) prediction market research and alerting via Polymarket, explicitly not autonomous trading but an alert system for markets moving more than 8% in 24 hours; and a fifth workflow discussed later in the video.
Throughout, the creator draws a consistent distinction between the good and bad versions of each use case — emphasizing human review before action, selling outcomes rather than methods, and treating Hermes as a surface-area expander rather than a replacement for judgment. For anyone building services around AI agents, the specific prompts and productization framing make this a practically useful reference.
📺 Source: Sharbel A. · Published May 18, 2026
🏷️ Format: Workflow Case Study
