← Claude Code
Jack Roberts
Claude Code just got 10X Better (Agentic OS)
⏱ 15 min video · 3 min read21 May 2026Worth watching
TL;DR
Jack Roberts demonstrates how to use the new /goal feature in Claude Code and Hermes agent to run AI tasks as persistent, looping objectives rather than one-off prompts. He then introduces a custom 'Chief Wigum' agentic operating system that breaks large multi-week goals into AI-handled sprints and human action checkpoints, making long-term projects actually executable.
Key points
1
The new /goal (r/goal) feature in Claude Code and Hermes agent keeps an AI working in a loop until a defined objective is fully met, rather than stopping after one response.
2
Effective goals must meet three criteria: measurable (quantifiable output), scoped (achievable within ~20 turns), and self-served (actionable by AI without requiring external human decisions mid-run).
3
Short-term goal demos shown include: finding top 5 trending Hermes agent YouTube videos and producing an HTML report, and identifying untapped Product Hunt niches using Firecrawl.
4
The 'Chief Wigum' mid-term goal system breaks large goals (e.g. launch a 5-day email course and get 500 signups in 4 weeks) into mini-goals, explicitly separating what AI handles versus what the human must physically do (e.g. record a Loom video).
5
Jack has built an agentic operating system dashboard that tracks mission progress, spend, file analysis, and mission control status, available via a link in the video description.
Actionable insights
→
Install the /goal feature by updating Claude in the terminal with 'claude update' and trusting your environment, then trigger it with r/goal or forward/goal in Hermes.
→
Before setting any goal, validate it against the three criteria: is it measurable, is it scoped to ~20 turns, and can the AI fully self-serve it without waiting on you mid-task?
→
For multi-week goals, use the Chief Wigum prompt structure to have the agent ask 8 clarifying questions (course topic, existing assets, audience size, platform access, etc.) before generating a phased plan with explicit human handoff points.
→
Use Firecrawl for web research tasks within goals — it strips HTML and extracts only relevant content, making it faster and cheaper than raw scraping.
→
In the mission control dashboard, completed mini-goals can be marked off and replaced, and human action items are flagged with location, time-box, and specific instructions so no context is lost between sessions.
Notable quotes
“If you put garbage in, you give it a good goal, you'll get good stuff out. If you give it a bad goal, you will get garbage out.”
“Real goals require two things right now. They need technical sprints that are going to be managed and dominated by AI. And they need what I call real-world handshakes. It's stuff that only you can do.”
“It tried to use a data API key that had expired. Now just done that, it's actually gone ahead and found something else, a different alternative route. And it's not coming back and asking me a million things.”
Worth watching?
✅
Worth watching the full video?
Worth watching if you actively use Claude Code or Hermes agent and want a concrete system for running multi-week projects with AI — the key concepts and workflow are all captured here, but the live dashboard demo and downloadable prompts give the full video added utility.
Saved you some time? The creator still deserves a like.
Want this for your own channels?
Add the channels you follow. Every new video summarised and in your inbox the moment it drops. From £4/month.
Try it free