01 / CASE STUDY
AI AGENTS / FULL-STACK AI · 2025
MOVI AGENT
A transport operations copilot that translates natural-language requests into guarded workflow actions with human confirmation.
01 / THESIS
A COPILOT
WITH A
CONSEQUENCE
BOUNDARY.
Movi is a full-stack transport operations copilot. The interface begins with a natural-language request, then makes the intended workflow legible before an action can proceed.
The case study focuses on the interaction boundary: understanding the request, checking its context, and asking a person to confirm a consequential action.
02 / THE SYSTEM
FROM REQUEST TO RESULT,
WITH A PERSON IN THE LOOP.
The workflow makes intent, context, validation, and confirmation legible before an action can proceed.
03 / REQUEST TRACE
- 01 / INTENTREMOVE VEHICLE
- 02 / ENTITYBULK — 00:01
- 03 / CONTEXTACTIVE BOOKINGS
- 04 / CHECKREVIEW BEFORE ACTION
- 05 / CONFIRMATIONHUMAN CONFIRMATION REQUIRED
THE REQUEST BECOMES LEGIBLE BEFORE IT BECOMES EXECUTABLE.
The natural-language request is shaped into a visible state: intent, entity, context, check, and confirmation.
04 / DECISIONS
SMALL BOUNDARIES SHAPE THE WHOLE INTERACTION.
Intent before action
The request is interpreted before the workflow exposes an action path.
STATE / GUARDED / REVIEWState before execution
The relevant entity and context are surfaced before an action is allowed to continue.
STATE / GUARDED / REVIEWConfirmation is a boundary
Guarded workflow actions require human confirmation rather than silently executing from a natural-language request.
STATE / GUARDED / REVIEW05 / SIGNATURE
CONFIRMATION GATE
06 / DEMONSTRATES
LANGUAGE INTO STRUCTURED, GUARDED ACTION.
STATE BEFORE EXECUTION
HUMAN-IN-THE-LOOP CONTROL
GUARDED WORKFLOW DESIGN