From one role to a Trained Brain doing the work.
A fixed path, the same one we use on our own systems. Every step is designed so the agent earns trust before it earns autonomy.
What you are getting.
One trained agent, wired into the systems your team already uses, with guardrails and people in the loop. It runs on hardware you control, and every action is measured.
- Email & inbox
- Calendar
- CRM & contacts
- Store & orders
- Sheets & reports
- Phone & voicemail
Prompts, memory, skills and runbooks for one job function.
Spending caps and approval thresholds. Anything legal, financial or brand-sensitive goes to a person.
Routine work on Claude CLI or Codex subscriptions, local models for private data, metered models only when needed, with automatic fallback.
- Approvals for high-stakes actions
- Exceptions & escalations
- Daily briefing
- Monthly performance report
Five steps. Nothing skipped.
The same path we use on our own systems. Nothing gets autonomy until it has proved it does the job better than the current process.
- 01
Discover
Days 1–2Map the role: its tasks, the systems it touches, the exceptions, and the one metric that proves it works.
- 02
Configure
Days 1–3Set up the hardware or your environment, the runtimes, secure access and the tool connections.
- 03
Train
Days 3–5Build the role agent and test it against mock copies of your systems before it touches live data.
- 04
Shadow
Weeks 2–3The agent drafts, your team approves. It earns autonomy task by task, only where it beats the current process.
- 05
Operate
After 2–3 weeksMonthly maintenance, monitoring, and a performance report benchmarked against the human baseline.
Where your data goes
Plain answers for owners, and enough detail for your IT team.
Everything it takes to make the role operational.
Each Trained Brain arrives as a complete, configured system, not a login to someone else’s software.
Environment
Mac mini-class, customer hardware, or enterprise environment configured with OpenClaw, Hermes, Claude CLI or OpenAI Codex.
Role agent
Agent prompts, memory, skills, rules, and escalation thresholds for the selected job function.
Tooling
API/MCP connectors for inbox, calendar, CRM, ecommerce, spreadsheets, calls, reports, and documents.
Support
Maintenance, small configuration updates, monitoring, troubleshooting, and handoff documentation.
Six lessons from running agents in production.
Not theory. These come from agents we run every day, for clients and for our own businesses.
Narrow beats general.
An agent trained for one role outperforms a do-everything assistant. We scope to one job and one measurable outcome.
Autonomy is earned.
Every change is tested on data the agent hasn’t seen, and goes live only if it beats what it replaces.
People own judgment.
Legal, financial and brand-sensitive calls go to a person. Guardrails are designed in, not bolted on.
Measure before you scale.
Tokens, CPU, memory, cost per task and success rate are tracked from day one, so ROI is a number, not a feeling.
Right model, right job.
Routine work runs on flat-rate subscriptions or local models. Metered models handle what needs them, with a fallback when a provider is down.
Your data stays yours.
Every Trained Brain is self-hosted. Credentials and data stay on hardware you control, reachable only through an encrypted tunnel.
Proven runtimes, not a black box.
For your IT team: what runs where, and how it is secured.
Runtimes
Matched to the job and switchable, so you are never locked to one vendor.
- OpenClaw
- Hermes
- Claude CLI
- OpenAI Codex
- local models
Connections
Tools connect through standard APIs and the Model Context Protocol (MCP).
- calendar
- CRM
- WooCommerce
- spreadsheets
- phone
- docs
Security
Self-hosted by design. The internet only ever sees an encrypted tunnel.
- self-hosted
- zero-trust tunnel
- secrets management
- least privilege
- audit logging