DEVELOPMENTAirSelects

AirSelects

AI-powered consensus for professional photo selection

Role

Founder & Product Architect

Year

2018

Focus

AI/ML · Product Design · Full-Stack

Days → Hours

Decision time

Upload → Vote → Deliver

Core workflow

The Challenge

Photographers shoot 2,000 photos. Clients want input. Endless back-and-forth delays delivery.

The current workflow is broken: email chains with attachment limits, Dropbox folders with cryptic names, revision requests that reference "the third one from the left." Everyone's looking at different versions, and no one knows what's actually approved.

Selection becomes a bottleneck instead of a decision.

The Approach

Let AI organize the chaos. Let clients weigh in. Build consensus without the meetings.

AirSelects groups visually similar shots automatically, so you're not scrolling through 50 near-identical frames. Shareable links let clients vote from anywhere. Hearts reveal the favorites. Comments stay anchored to specific images.

The goal isn't to automate taste. It's to get everyone looking at the same thing, voting on the same options, and agreeing faster.

The Solution

One click groups thousands of images into reviewable clusters. Shareable links let clients vote from anywhere, no login required. Hearts reveal the favorites. Comments stay tied to specific shots.

Photographers see consensus forming in real-time. When it's time to deliver, everyone already agrees on the selects.

The Outcome

Faster decisions. Happier clients. Photographers deliver with confidence.

What used to take days of back-and-forth now resolves in a single review session. Clients feel heard. Photographers stay in control. The work ships.

What I Learned

The best AI disappears into the workflow. If someone notices the clustering algorithm, something's wrong. They should just see their images, organized.

Speed without reliability is worthless. And shared decisions stick longer than top-down ones.

Tech Stack

PythonTensorFlowGoogle Cloud

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