Five AI agents. One e-commerce growth team.
Most AI assistants answer questions. These five do the work — each owns one part of running an online store, and they share the same memory so nothing gets lost between them.
A general-purpose AI assistant can draft an email or summarise a spreadsheet. Running a store is a different problem: the work is continuous, it spans four or five tools, and every task depends on data produced by another task. WorkDaddy splits that work across five agents with clearly separated jobs — Builder, Analyst, Visibility, Retention, and Ops. Each one has its own toolset and its own definition of done, and all five read and write to a shared memory layer, so the Analyst’s finding on Tuesday becomes the Builder’s task on Wednesday without you retyping anything.
Builder
Ships storefront, landing page, and product page changes without waiting on a dev sprint.
Learn more →Analyst
Reads your GA4 data daily and turns it into a short list of what to fix next.
Learn more →Visibility
Keeps your products findable in Google and citable in ChatGPT, Perplexity, and AI Overviews.
Learn more →Retention
Builds and maintains the lifecycle email and SMS flows most small teams never get to.
Learn more →Ops
Keeps the store fast and secure, and keeps every agent working from the same record.
Learn more →Why five agents instead of one assistant
A single agent given every tool at once gets vague. Splitting the work means each agent has a narrow toolset, a narrow success metric, and a much shorter path from instruction to finished output. It also means you can start with one agent and add the rest as you need them, instead of buying a whole platform on day one.
Each agent owns one job and one toolset — no overlapping responsibilities
Shared memory so findings, decisions, and changes carry across agents
Every change is logged, attributable, and reversible
Add agents one at a time as your store grows
The same team on any commerce channel
The agents are not written against one platform. They work on a Shopify storefront, a headless or custom build, a marketplace listing, or a B2B wholesale portal — the tools change, the jobs do not. If you sell in more than one place, the same team covers all of them.
Pick the model, or let WorkDaddy pick
Every agent can run on GPT, Kimi, or Claude Code. You can pin a model for consistency, or let WorkDaddy route each task to whichever engine handles it best — long-context analysis to one, code changes to another. On the free plan you connect your own model key and pay the provider directly.
Frequently asked questions
Do I have to use all five agents?
No. Most stores start with one or two — usually Builder and Visibility, or Analyst and Retention — and add the rest once the first ones are producing results. Plans are structured around how many agents you turn on.
How do the agents avoid duplicating each other’s work?
Each agent has an explicit scope and toolset. Shared state lives in one memory layer that all five read from and write to, so when Analyst flags a broken funnel step, Builder picks it up as a task rather than rediscovering it.
Can I review changes before they go live?
Yes. Every agent can run in review mode, where it prepares the change, shows you the diff and the reasoning, and waits for approval. You choose which agents are allowed to ship without a review step.
What happens if an agent makes a bad change?
Every action is logged with its inputs, its reasoning, and the resulting change, so you can trace what happened and roll it back. Nothing is applied without an audit record.
Put the team to work on your store
Connect your storefront, analytics, and email stack, set a goal, and let the agents run the work end to end. Start on the free plan with your own model key.