Index · 2026

The work.

Two case studies running in production. Each is the same shape: a named bottleneck, a system that handles it, and a number for what changed.

Proof

Shipped and running

Two engagements. Real systems running in production.

Interface crop showing an AI receptionist app with chat threads and conversation log

Case 01 · AI receptionist + DM automation

Hair salon receptionist

Client
Naamza, independent salon, Los Angeles
Stack
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Voice and DM agent that answers booking questions, handles reschedules, and surfaces only the conversations the owner needs to touch.

Resolved automatically

62%

Conversations resolved with zero staff involvement, across phone, Instagram, and SMS. About 1 in 4 arrive after the salon is closed, and every one gets answered. Around 150 a week.

Read the build

Content calendar and brand voice documentation visualization for a social media automation pipeline

Case 02 · Content pipeline + scheduling automation

Social media posting

Stack:
·

Pipeline that ingests brand voice and campaign briefs, drafts variants, and posts on schedule across platforms. Marketing director kept the strategy work.

Posts shipped per week

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Other work

devcatalog.com

A marketplace shipped by the studio. [INTAKE NEEDED: 2-3 sentences — what it is, what shipped, current state.]