The Same Systems We Run Internally. Now Yours to Study.
Every product here is extracted from a live AI operating system, not written from theory. If you want to understand the approach before you invest in a custom build — or you're ready to start building on your own — this is where to start.
Each one solves a specific job. Find the one that matches where you are.
Hermes Operator Setup Kit
A step-by-step playbook for standing up an AI operator from scratch. Covers configuration, cron scheduling, worker prompt structure, and handoff logic — the same setup flow we run for every client deployment.
Business owners or ops leads who want to deploy an AI worker and need a concrete setup checklist, not generic AI advice. Also useful for anyone building their first automated agent loop.
- Step-by-step operator launch checklist
- Cron job audit worksheet
- Worker prompt templates with examples
- Profile configuration guide
Nerve Ops Playbook
The daily operating manual for running AI systems that are already live. If your agents are deployed but you don't have a clear routine for monitoring them, this is the missing piece.
Anyone managing live AI agents or workflows who needs structure: daily queue reviews, incident triage, health checks, and the dashboard routines that keep everything visible and accountable.
- Daily ops review checklist
- Incident triage decision tree
- Queue and dashboard audit flow
- Weekly system health review template
AI Systems Diagnosis Kit
A self-assessment kit to map exactly where owner-dependency is costing you, and whether you're ready for AI infrastructure. Do this before you spend anything on a build.
Business owners who know something is broken but aren't sure where to start. This gives you a clear picture of your biggest operational bottleneck, your build readiness, and the highest-leverage first move.
- Owner bottleneck mapping worksheet
- Workflow inventory template
- Build-readiness rubric
- First-move decision framework
See what a real AI operating system looks like before you buy anything.
Atlas Blueprint
A detailed look inside a real production AI operator: the decision loops, review gates, escalation logic, and infrastructure that keeps a business running between the owner's decisions. This isn't a pitch deck — it's a documented system that's live right now.
Anyone who wants to understand what an AI operating system actually looks like in practice before committing to a build. Read this if you're evaluating whether this approach is real or theoretical.
- Full operator loop documentation
- Escalation and review gate logic
- Infrastructure and toolchain breakdown
- Real execution, not a mockup