Every Level of Hermes Agent Explained
A 25-minute level-by-level breakdown of Hermes agent, from one-shot prompts to a model-agnostic agentic OS that ships work while you sleep.
June 17thJack Roberts turns the /goal feature into a multi-week agentic OS: AI sprints plus human handshakes, tracked in a mission-control dashboard.
Claude Code and Hermes can execute multi-week goals by decomposing them into AI-managed sprints and human-only tasks tracked in a unified dashboard, turning single-session goal loops into repeatable systems that blend agent autonomy with human handoffs.
Claude Code's /goal feature keeps an agent looping until a defined outcome is met, but it only works when goals are measurable, scoped to about twenty turns, and self-serve, and even then it caps out at single sprints too small for anything that actually moves a business. The fix is to wrap /goal in a longer-horizon system that decomposes a three-to-four-week binary deliverable into mini-goals, then splits each one into AI sprints and real-world handshakes only you can perform, like recording a video or recording a Loom. Before planning, the system interrogates you for course topic, deadline, existing assets, audience, connected tools, and what requires you personally, then tracks progress in a mission-control dashboard that tags you back in when human work is due.
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What /goal is: a goal that survives across conversation turns. The REPL loop rebranded as Chief Wiggum.

The auto-loop broken into three parts. Released across Codex, Claude, and Hermes.

Copy skill from description, claude update in terminal, trust the desktop environment.

Goals must be measurable, scoped to 20 turns or fewer, and self-serve. Parchment graphic with worked examples.

Simultaneously runs a goal in Claude and Hermes. Agent self-heals an expired API key.

Scope too narrow for anything meaningful. Leads into the real unlock.

Every goal demo is one sprint. Real goals span weeks and require human involvement.

Framework: binary deliverable, 3-4 week window, split between what AI does and what only you can do.

Full Claude Code masterclass CTA, download the dashboard, track usage and spend.

Drops the Chief Wiggum prompt into Hermes. Agent asks 8 clarifying questions.

Jack answers questions, Hermes generates a six-part mission with AI and human jobs broken out.

Each mini-goal auto-generates an optimized prompt. Copy-paste to Hermes/Claude to execute each sprint.

Action 4 tells Jack: record the promo videos. Agent waits, then runs campaigns when content is ready.

Green pulsing indicator for active missions. Mark complete, replenish, repeat.
Split every project into AI sprints and human handshakes, and make the handshakes explicit, time-boxed, and tagged.
“Every goal demo is essentially one sprint.”
“Real goals require two things right now. They need technical sprints dominated by AI, and they need what I call real world handshakes.”
“It is that harmony between the human and the agent that will actually drive all the value.”
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
The cold open is the product payoff: Mission Control dashboard on screen, superhero mascot lit up green. Then Jack cuts to the mic and drops the promise. The first 26 seconds buy him the entire 15 minutes.
Any goal given to Claude/Hermes must satisfy all three or it will fail.
Worker + Judge + Loop upgraded with Time (multi-week scope) and Human-in-the-Loop handshakes.
Every midterm goal decomposes into what AI can do autonomously and what only you can do.
“I have got a full Claude code masterclass. You can just go ahead and grab by clicking the link down below.”
Mid-video soft pitch blended into the demo. The OS being sold IS the thing being demonstrated, so the upsell feels organic.
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15:20A 25-minute level-by-level breakdown of Hermes agent, from one-shot prompts to a model-agnostic agentic OS that ships work while you sleep.
June 17thA 14-minute walkthrough for wiring Andrej Karpathy's self-auditing LLM wiki into Hermes agent — so your AI can read your inbox, meetings, and expert research, not just you.
June 14thHow a knowledge-graph layer cuts re-reading costs and wires every agent to one shared brain.
June 8thA 41-minute field guide to the open-source AI agent framework — 21 concepts, zero jargon, one tutorial that starts from zero.
May 29thA five-level blueprint for turning one frontier model subscription into a personal operating system that remembers everything, debates itself, and keeps working while you sleep.
July 6thSeven escalating techniques that take a Claude Code website from a 3-out-of-100 chatbot draft to a one-shot design worth stealing.
July 5th