PRACTICAL AI · UPDATED OCTOBER 30, 2026
A personal AI workspace that does useful work.
One assistant, connected tools, and automations you can inspect. Add a specialist team when it solves a real coordination problem—not because a bigger agent roster looks impressive.
Bring your own AI agent
Share this URL with your Codex, Claude Code, or other assistant. Use the guides as a reference to build one workflow around your goals—not to clone someone else's permissions or entire stack.
Copy a starting prompt and adapt the setup → · Plain-text agent index
What happens after you ask?
You → OpenClaw → connected tool → verified answer
A small question or lookup can be completed in the conversation. It does not need a specialist task, another coordinator, or a background agent run.
Verify the account, source, and result.
Your setup path
Install using current official guidance, define one job, and verify a real result.
Start read-only. Check the exact account, current data, and what the tool can actually do.
Detect changes without a model, and escalate only when there is useful work.
Deduplicate, cap runs, and keep drafts separate from sending or publication.
Use Paperclip for persistent ownership, execution history, and dependable handoffs.
The honest version of the setup
OpenClaw handles conversations, tools, memory, and scheduled jobs. Paperclip coordinates persistent specialist work. Mission Control is a private operations dashboard. There are 16 configured roles, but that does not mean 16 agents are continuously working or every request is automatically delegated.
For students, faculty, and builders
These guides share Adam Meeker's evolving practice, not a promise of unattended autonomy or a required technology stack. Use synthetic examples, follow your institution's data policies, and review consequential outputs.
Original class slides (historical context) →