Discord Command Room Setup Template
A Discord room structure for routing founder inputs, agent work, approvals, and daily reports.
Use Discord as the human command surface, not as an unstructured dump.
Channels
#pm— daily operator reports, blockers, and next decisions.#work-queue— scoped task threads that map to GitHub Issues.#signals— raw bookmarks, voice notes, links, and ideas before triage.#approvals— explicit human gates for sends, money, production, and public actions.#shipping-log— merged PRs, live URLs, generated assets, and receipts.
Thread format
Daily room rule
Every day should end with a two-part report:
- What did we do?
- What is next?
Get Feedback Fast
Use the template, then pressure-test it with other builders
The library is designed to shorten planning time. The community is there to challenge assumptions before you burn a sprint on the wrong scope.
Related Templates
Adjacent assets that usually get used together.
Template
Daily Operator Report Template
A concise daily report format for always-on AI agent command centers.
Template
Founder Command Center Issue Template
A scoped GitHub Issue template for routing founder inputs into approval-gated AI agent work.
Template
Human Approval Gate Checklist
Approval rules for deciding when an AI agent can proceed and when a human must review first.
Read the Supporting Playbooks
Use the deeper blog posts when you need context, tradeoffs, or examples behind the template.
Blog
How to Build a Founder Command Center With AI Agents
A practical blueprint for turning Discord, GitHub Issues, Obsidian, cron jobs, and AI workers into a founder command center that ships work instead of losing context.
Blog
Systems as a Service: The New SaaS Model for AI Builders
AI builders should stop thinking only in dashboards and seats. Systems as a Service packages software, agents, QA, and human approval into repeatable outcome loops customers can buy.
Blog
What Is an Always-On AI Agent?
An always-on AI agent is not a chatbot. It is a scheduled, approval-gated operating loop that watches inputs, does bounded work, verifies results, and reports what changed.