DevShop Language Model The model that learns your business.
An agent team beside your people, in your own cloud. Each result builds on the last.
First build: AAFT
What we built
Beside the people, not instead.
- AAFT, being builtAn organisation of AI agents for AAFT, working beside its people.
- RogerAAFT’s AI chief of staff: a morning brief, owner follow-ups, exceptions only.
- The agent orgA CEO agent, a chief of staff and specialist agents, each beside a person.
How it works
Four steps.
- 01 · AgreeA first conversation, a proposal, then the papers. The data clause comes first.
- 02 · ConnectRead-only access by named invitation. Your data stays in your own cloud.
- 03 · Build and runOne scorecard. Every problem gets an owner and a deadline. People decide.
- 04 · Every MondayTarget against actual: what changed, what is stuck, who owns it.
Your data
It stays yours.
- Every document, record, email and number
- Names of customers, staff and partners
- The business’s own memory and answers
Only general methods, with the business removed and checked by a person, come back to DevShop.
What’s next
Phase 1, honestly.
- TodayIt takes in the work as sourced facts.
- NextIt finds what repeats and turns it into rules.
- AlwaysOne function at a time, switched on only after the last is measured.