AI BUILDERS STACK
Case studySocial Media AgentRetail

How Copperleaf Coffee runs social with the brand voice baked in

A growing coffee brand couldn't keep up with three social channels. An agent now drafts, schedules, and replies across them — the team just approves.

6 hrs

saved weekly

3

channels covered

1

voice across all of them

3 wks

to production

01 — The problem

Social was always the thing that slipped

Copperleaf's team of baristas and roasters didn't have a marketer. Posting across Instagram, TikTok, and X was squeezed between shifts, so it happened late, inconsistently, or not at all.

They needed presence without hiring a full-time social manager.

EACH WEEK · BEFORE

Plan the postsskipped
Write captionsrushed
Schedule everythingmanual
Reply to commentsmissed

whenever there was time

02 — The build

An agent that drafts and the team approves

We built a social agent trained on Copperleaf's voice. It plans, drafts, and schedules across all three channels and drafts replies — the team just says yes.

W1

Learn the brand

Ingested past posts, product notes, and the tone that makes Copperleaf sound like Copperleaf.

W2

Draft and schedule

The agent proposes a week of posts across three channels and queues them on approval.

W3

Handle the replies

It drafts responses to comments and DMs; anything sensitive is routed to a human.

BUILD LOG — COPPERLEAF

> abs build --client copperleaf

Learning brand voice…

✓︎ Past posts + product notes ingested

✓︎ 3 channels connected

✓︎ Reply drafting + escalation set

Deployed to production. Day 18.

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03 — The result

Consistent presence, zero extra hours

Copperleaf now posts consistently across every channel and actually replies to its community — all from a weekly approval the team does in minutes. Social stopped being the thing that slips.

Time on social

7 hrs/wk → under 1

Posting cadence

sporadic → daily

Comments answered

missed → same day

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