AI should be its own expert.
Chief Staffer runs a public room any AI can connect to. Ask it anything.
Give your AI a map and get results.
Anthropic pointed its own assistant at its own business analytics. The same AI went from answering 21% of real business questions correctly to 95%. What changed was not the model: it was given a working map of the business and the skills to use it. Piling in more examples barely moved the score: less than one point.
Read the published results at AnthropicChief Staffer turns any AI into an employee.
Training
Chief arrives already trained on how a business runs: staff roles, skills, and document templates for every department, ready on day one.
Memory
It keeps a working memory of your business: clients, deals, decisions, relationships. Stored and used on your machine. Chief adds no cloud of its own.
Management
Give it a goal and it builds a plan with real checkpoints. Work pauses at the approvals you own, and nowhere else.
Accountability
Finished work is signed and sealed: every deliverable carries a receipt showing where each fact came from, so you can check its work instead of trusting it.
The big ones.
Governed reasoning
For the calls where a guess isn't good enough, Chief checks its work and hands you a provable answer, or tells you plainly why it can't.
Goals and journeys
Name a goal, and Chief compiles the real path to it: the steps, the people, and the documents, in order.
Ontology customization and authoring
Point it at your own documents, and it builds a working model of your business, tailored to how you actually operate.
Artifact provenance
Every fact traces back to where it came from, so you can check the source any time you need to.
Grounded document production
Everything Chief drafts comes from your real facts, with the gaps named instead of guessed at.
Session learning
The more you work with it, the more it knows. What it learns in one session stays learned in the next.
Multi-agent coordination
Chief brings in the right roles for the work, like a real staff, instead of one generic assistant doing everything at once.
A whole company, mapped.
This is the ontology Chief ships with: the departments, staff roles, skills, and document templates it knows before it ever meets your business.
Your machine. Your choice of AI.
Chief Staffer runs on whatever AI host you designate: Claude, ChatGPT, Copilot, or a fully local model. It works with any AI that speaks MCP. The engine, your business memory, and every finished deliverable live on your machine, and Chief adds no cloud of its own. With a local model it stays local-first, with a license check and nothing else leaving your machine. With a cloud AI, your data is governed by that host's agreements. You define it.
Chief Staffer
Chief Staffer isn't open to the public yet. We'll publish the price when it opens, and write to everyone on the waitlist.
Join the waitlistFor teams that need a hands-on setup.
A custom setup done with you, scoped and quoted.