Selected work / Independent concept

ShiftCue.

From scattered staffing conversations
to a clearer picture of the crew.

AV LABOR COORDINATIONAI-ASSISTED PROTOTYPEFICTIONAL DATA

ShiftCue is an independently created, AI-assisted concept prototype, inspired by firsthand professional workflow pain points. It was not used or deployed by any prior employer. All demo data is fictional.

YOUR CREW. IN SYNC.

Operations overview

Nov 2026

Active shows

4scheduled

Confirmed crew

6/ 21

Awaiting reply

4

Technicians

10

Upcoming shows

Open live demo

Meridian Leadership Summit

Chicago

Lakeside Convention Center

Nov 4Staffing

Northstar Product Launch

Chicago

The Foundry

Nov 4Staffing

Horizon Annual Meeting

Milwaukee

Riverfront Ballroom

Nov 6Staffing
Interactive concept prototype · No real messages sent

01 / The problem

The work between
the spreadsheets.

Staffing a corporate AV show can mean calling or texting technicians one at a time, asking about availability, checking skills, and recording responses in spreadsheets. When another show overlaps or someone declines, the coordinator has to reconnect the information manually.

One-by-one outreach

Repeated conversations just to find out who can work.

Scattered commitments

Requested, confirmed, and declined statuses spread across messages.

Manual cross-checking

Roles, dates, and overlapping shows checked against spreadsheets.

02 / The concept

Make the next
decision clearer.

ShiftCue brings shows, crew requirements, technician skills, and assignment status into one local demo. It explores how operational checks could support the coordinator without removing their judgment.

Show and technician editing

Role and availability filters

Overlapping booking checks

Skill mismatch warnings

Simulated bulk outreach

Printable call sheets

03 / What it demonstrates

A prototype.
Not a proven outcome.

This is an independently created, AI-assisted concept, not an employer project or a production deployment. There are no claimed efficiency gains, customer results, or business outcomes.

The demo is functional but browser-only. Data stays on this browser, outreach is simulated, and the AI assistant concept is not connected. Real adoption would require stakeholder discovery, user testing, secure shared data, integrations, and operational validation.

Try the interactive demo