· 1,412 actions
Request accessten agents · one pipeline · human sign-off
Product manager, designer, frontend, backend, QA, data, SEO, copy, deploy. Ten specialist agents pass work down a real pipeline on your Shopify store — and a human reviewer signs the last gate.
six views · one live build
pipeline graph · click a node
Product
intake
Reads the store, the analytics and your goal, then writes the tickets: scope, acceptance criteria, priority and which agents are on it. Nothing enters the pipeline without an Atlas ticket.
Design
design
Takes the ticket and produces layout, states and spacing against your existing design language — not a fresh look every time. Hands the frontend agent a spec, not a picture.
Copy
content
Product copy, PDP descriptions, section headings, microcopy and error states — held against a versioned brand voice profile and checked against product specs for false claims.
SEO
content
Owns metadata, internal linking, schema and collection structure. Reviews every Quill and Muse output before it ships for anything that would cost you organic traffic.
Frontend
build
Implements the spec in your theme: Liquid, sections, CSS, interaction states, accessibility and breakpoints. Opens a branch, never edits live.
Backend
build
Admin API work, app integrations, webhooks, metafields and the glue between your store and everything around it. Writes the migration and the rollback together.
QA
quality
Runs the acceptance criteria as tests across devices and a real checkout path, plus visual regression against the last shipped build. Fails the ticket back with a repro, not an opinion.
Data
quality
Instruments the change, sets the success metric before launch, then reports the read after. Kills its own team’s work when the number says so.
Deploy
ship
Merges, deploys behind a flag, watches error and conversion rates for the first hour, and reverts without asking if either moves the wrong way.
Human
gate
Every ticket stops here as a diff with the reasoning attached. Approve, edit or reject. You can auto-approve categories once you trust them — and revoke that in one click.
Retire 14 sub-margin SKUs
Bundle upsell on cart drawer
Rewrite 46 thin product descriptions
Q4 gift-guide landing page
Sticky add-to-cart on mobile PDP
Collection filter performance
Back-in-stock flow segments
Checkout drop-off investigation
Schema markup on 88 collections
day 3.1 / 14
4 / 15 lines
org · click a row to open the brief
planner
Atlas
Reads the store, the analytics and your goal, then writes the tickets: scope, acceptance criteria, priority and which agents are on it. Nothing enters the pipeline without an Atlas ticket.
Takes the ticket and produces layout, states and spacing against your existing design language — not a fresh look every time. Hands the frontend agent a spec, not a picture.
Product copy, PDP descriptions, section headings, microcopy and error states — held against a versioned brand voice profile and checked against product specs for false claims.
Owns metadata, internal linking, schema and collection structure. Reviews every Quill and Muse output before it ships for anything that would cost you organic traffic.
Implements the spec in your theme: Liquid, sections, CSS, interaction states, accessibility and breakpoints. Opens a branch, never edits live.
Admin API work, app integrations, webhooks, metafields and the glue between your store and everything around it. Writes the migration and the rollback together.
Runs the acceptance criteria as tests across devices and a real checkout path, plus visual regression against the last shipped build. Fails the ticket back with a repro, not an opinion.
Instruments the change, sets the success metric before launch, then reports the read after. Kills its own team’s work when the number says so.
Merges, deploys behind a flag, watches error and conversion rates for the first hour, and reverts without asking if either moves the wrong way.
Every ticket stops here as a diff with the reasoning attached. Approve, edit or reject. You can auto-approve categories once you trust them — and revoke that in one click.
route · drag a task into intake and watch it dispatch
drop a task here
the team
| metric | retainer agency | agentify |
|---|---|---|
| Turnaround on a copy change | 3–5 business days | Under 15 minutes |
| Hours available per month | 40 retainer hours | Continuous, ten roles |
| Who does the work | Whoever is unbooked | The same specialists |
| Testing cadence | 1–2 tests a quarter | A live queue, always on |
| Reporting | A deck, monthly | A live log of every action |
| Cost of scope creep | A change order | None |
Pilot 4 slots
per month · one store
Team 2 slots
per month · one store
Studio by intake
multi-store · white label
No. Relay deploys only what a human approved, behind a flag, and reverts automatically if error or conversion rates move the wrong way. You can auto-approve low-risk categories once you trust them.
Sieve catches most of it and fails the ticket back with a repro. Anything that gets past QA is caught at your gate, and the correction is written into the agent’s playbook so it does not queue twice.
Usually — but cadence is the real difference. Work that used to wait for the next sprint happens the same day, every day, and you can see every action in the log.
Yes, and most clients do. They keep a developer for custom platform work and let the team own the continuous operating layer around it.
Send the store and the goal. You get back a two-week pilot scope: agents assigned, pipeline drawn, what ships first.