DrowUpAgent Guide

Introduction

DrowUp Agent is a one-stop AI workbench for commerce. Use it for sourcing, listing, operations, and after-sales.

DrowUp Agent is a one-stop AI workbench for commerce. Say what you need done in a sentence. The Agent plans and runs it, and returns a result you can check. It works for cross-border and domestic stores.

Capabilities

  • Assign work in conversation: state the goal; you do not have to click through a fixed menu
  • Pick an employee by role: listing, operations, and similar jobs each have a matching employee
  • Install tools as needed: get capabilities from the plugin market
  • Install workflows as needed: platform operations and content production come from the Skill market, for an employee or the whole workspace
  • Operate seller backends directly: complete listing and operations in the browser

Use cases

  • Listing: publish products to store backends; check the result there
  • Sourcing: research and evaluate what to sell
  • Creative: product images, video, and ad assets
  • Copy: titles, selling points, and multilingual content
  • Store operations: orders, after-sales, campaigns, reporting, and similar daily work
  • Multi-store: keep each store account’s operating environment separate

Compared with a chat assistant

Typical AI chatDrowUp Agent
Answers and adviceDoes listing, creative, and operations work
No catalog or seller backendUses installed plugins for catalog data and operates seller backends in the browser
One general assistant for everythingEmployees by role; Skills for the platforms you actually use
Mostly textDrafts, images, video, and reports you can check

Find the right guide

I want to…Guide
Choose a role and assign a taskEmployees
Install a reusable procedureSkills
Add tools to the AgentPlugins
Connect an external tool serviceConnectors
Organize product facts, images and SKUsProduct library
Create images or video with nodesInfinite canvas

Employees define roles, Skills define procedures, plugins add capabilities and connectors connect external services. The product library holds product records; the canvas organizes creation workflows. Installation, authorization, generation, saving and publishing remain separate outcomes to verify.

Suggested reading order

  1. Quick start: install the client and sign in.
  2. First conversation: prepare a model and workspace, then send your first request.
  3. Employees, Skills and Plugins: prepare the role, procedure and tools; see Connectors when external services are needed.
  4. Product library: prepare one identifiable, verifiable product.
  5. Infinite canvas: create one image if needed and verify its save destination.
  6. First listing task: prepare a draft or stop before submission according to the selected Skill, then inspect the backend status.

Begin with one product, one procedure and explicit boundaries. After a task reports completion, confirm where the result is saved, whether anything was submitted and which facts still need attention.