For e-commerce sellers & DTC brands

Your e-commerce team working 24/7.

Five agents research products, monitor competitor prices, write ad and product copy, analyze reviews, and surface daily opportunities for your store.

Deploy my store team →

7 days free · Works for Amazon, Shopify, DTC

Your store team · Running
online
🤖Product Research· Nova
working

🤖Pricing· Leo
working

🤖Copywriter· Aria
working

🤖Reviews· Atlas
ready
🤖Performance· Rex
working

This page focuses on store intelligence: product discovery, pricing moves, review mining, and ad support. It stays distinct from /for-business by targeting commerce-specific workflows and from /ai-startup-team by centering on merchandising and operational decisions instead of founder research.

Five agents growing your store around the clock

🔍

Product research

Scan marketplaces, trend platforms, and supplier catalogs for opportunities worth reviewing.

💰

Pricing intelligence

Watch competitor prices and highlight where repricing or positioning action may be needed.

📢

Ad and product copy

Draft product descriptions, ad hooks, and creative briefs grounded in the current market view.

📝

Review analysis

Mine customer reviews for objections, feature demand, and messaging angles.

📊

Performance monitoring

Track velocity, ROAS, and issues that deserve attention before they compound.

E-commerce on autopilot

1
🛒

Tell the team about your store

Share your niche, platforms, and product set so the workflow starts with context.

2
📊

Get daily market intelligence

Receive a recurring pulse on prices, products, and performance rather than checking manually.

3
📈

Act on insights

Use the briefings to restock, adjust pricing, test ads, or review product opportunities faster.

What you get in practice

🌅

Daily store briefing

A Telegram digest with price moves, product opportunities, and issues to inspect first.

  • Price alerts
  • New product ideas
  • Campaign watchouts
🛍️

Product opportunity reports

Get shortlists of products, suppliers, and angle ideas based on your store strategy.

  • Demand signals
  • Supplier notes
  • Differentiation angles
🧠

Review-driven copy updates

Turn customer language into better product pages, ads, and positioning experiments.

  • Objection themes
  • Value prop language
  • Copy refresh ideas

Proof block

Commerce workflows need more than AI copy

The proof here centers on visibility, file context, and performance-oriented demos so the page feels closer to a working commerce ops system than a generic AI landing page.

Store intelligence dashboard

A commerce workflow benefits from one place to review activity, cost, and ongoing tasks.

Dashboard
just now
Tasks Done
312
+48 vs prev week
Tokens Used
16.8M
↑ 8%
💰Cost
$127.40
on track
🎯Success Rate
96.1%
↑ 2.1% vs prev
Avg Latency
1.6s
P95: 3.8s
🤖Active Agents
6 / 6
Nova, Rex, Atlas, Orion
Activity Timeline
47240MonWedThuSatSun
Task Outcomes (7d)
MonTueWedThuFriSatSun
Done
Failed
Blocked
Activity Heatmap
MonTueWedThuFriSatSun
0h6h12h18h22h
Less
More
Agent Utilization
Nova 🔍
98
Rex 💻
77
Atlas 🧠
63
Orion 🔌
49
Aria ✍️
28
Leo 📊
14
Latency (seconds)
Nova
1.2s
Rex
2.1s
Atlas
0.8s
Orion
0.4s
Aria
3.2s
Leo
4.1s
P50
P95
P99
Token Breakdown
16.8M
total tokens
Nova31%
Rex26%
Atlas20%
Orion14%
Aria6%
Leo3%
Live Events
09:14🔍Found 3 relevant trend reports
09:13🧠Stored 847 context tokens
09:12💻test_auth.py: 5/5 passing
09:11🔌Webhook fired: POST /api/notify
09:08🔍Crawled 12 pages on techcrunch.com
09:06🧠Retrieved session context #A12
09:05💻Opened PR #42: add unit tests
Bring supplier lists, exports, and product data

Upload the files that matter so the team can reason from your actual catalog and notes.

9 files·8 indexed
Search…

Drop or click to upload

readme.txt

Project Context

This workspace belongs to Jason's AI agent team.

Goal

Build and ship the OpenClaw platform — a 1-click deployment tool for Claude Code agent teams.

Active agents

  • ·Nova — research & market intelligence
  • ·Rex — development & code review
  • ·Aria — content & copywriting
  • ·Leo — data analysis & forecasting
  • ·Atlas — memory & context management
  • ·Orion — integrations & automation

Instructions for agents

  • ·Always check this file before starting a new task.
  • ·Store important findings in memory (Atlas).
  • ·Prefer short, actionable outputs over long reports.
  • ·Escalate blockers immediately — do not retry more than 2×.

Current priorities

  1. 1.Finish landing page copy (Aria)
  2. 2.Analyze Q2 churn data (Leo) — see q2-metrics.csv
  3. 3.Monitor competitor pricing (Nova) — see marketing-research.txt

Linked resources

  • ·codebase-summary.txt — technical architecture overview
  • ·marketing-research.txt — market analysis and recommendations
TXT

readme.txt

3 KB · Mar 9, 2026

ready

Agents

🔍Nova· Researcher
🧠Atlas· Memory

Recent reads

🧠Atlas indexed09:20
🔍Nova read09:21
Performance-oriented proof block

Use a metrics-heavy demo to reinforce that this page is about operational decisions, not just writing copy.

YouTubeTwitterInstagram
48.2K
Views
↑ 12%
3.4%
CTR
↑ 0.8%
+340
Subs
↑ 5%
How I built an AI productivity agent from scratch
12.4K views · 94% retention · 8:32 avg
7-day views
M
T
W
T
F
S
S

Important constraints

The workflow helps with research, analysis, and drafting; listing or campaign execution remains a reviewed human step unless you extend it.

Market quality depends on the public and uploaded data sources you connect.

This system surfaces opportunities and issues. It does not guarantee store growth by itself.

Pricing fit

Team is the practical starting point for store intelligence

You need multiple active agents for research, pricing, copy, and performance review. Team is the right balance for most brands and sellers.

Solo

For individuals with basic tasks

$29/mo
CPU2 cores
RAM4 GB
Storage40 GB SSD
Agentsup to 3
  • 20 specialized skills
  • All MCP servers
  • Telegram, Discord, Slack
  • Dashboard & analytics
  • File uploads (PDF, CSV, DOCX)
  • Email support
Start free
Popular

Team

For power users with diverse tasks

$59/mo
CPU4 cores
RAM8 GB
Storage80 GB SSD
Agentsup to 5
  • 30 specialized skills
  • All MCP servers
  • All messenger integrations
  • Dashboard & analytics
  • File uploads
  • Custom domain
  • Priority support
Launch team

Studio

For maximum performance

$99/mo
CPU8 cores
RAM16 GB
Storage160 GB SSD
Agentsup to 8
  • 40 specialized skills
  • All MCP servers
  • All messenger integrations
  • Dashboard & analytics
  • File uploads
  • Custom domain
  • Webhooks & automations
  • Priority support
Launch Studio

Studio is the better fit for agencies, multi-store operators, or heavier integration needs.

Frequently asked questions

It works with Amazon, Shopify, WooCommerce, Etsy, DTC sites, and any workflow where you can provide files or public market inputs.
Not as the default promise. It is strongest at research, drafting, and decision support before final execution.
By combining marketplace patterns, public trend signals, supplier research, and the store context you provide.
Yes. Supplier comparisons, MOQ notes, timing, and public reviews can all become part of the research workflow.