The setup work starts by making the business legible to agents. Not by adding another chatbot. Not by importing every note into one giant prompt.
Truthful promise: this does not create a self-running company. It creates a working structure where AI workers receive the right mission, keep useful context, hand off cleanly, and show proof before the founder trusts the output.
What gets installed
Company context that survives the session
Offers, customers, tools, constraints, decisions, current sprint, and source-of-truth paths.
Clear jobs for each worker lane
Marketing, software, operations, research, QA, and sales lanes with scope and success criteria.
Evidence instead of vibes
Every worker returns files, links, test output, screenshots, source notes, blockers, and next action.
Human approval where risk is real
Public posts, DMs, spend, production deploys, credentials, payment changes, and irreversible actions stay gated.
Who this fits
- A founder with scattered Notion pages, docs, chats, code repos, and half-built processes.
- A small team using Claude, Codex, Cursor, ChatGPT, n8n, or other AI tools without one operating rhythm.
- A business that needs repeatable execution: content, lead review, proposal drafting, product QA, client reporting, or internal ops.
The first installed sprint
- Map the active business: offers, customers, assets, blockers, workflows, tools.
- Pick one revenue-relevant lane to install first.
- Create the memory file, mission brief, handoff format, and QA checklist.
- Run three real jobs through the lane.
- Fix the workflow before adding more agents.
Start with the audit if the system is still messy.
The $297 RemoteClarity audit maps the workflow and recommends the first installed lane. If the fit is clear, it can become the setup brief for installed work.