Become an AI-native
Brand
We've seen how the top-performing brands use AI, and we'll set it up for your team too.
Describe the agent in Claude or Codex.
Create an agent in Claude, publish it to a shared type.com workspace, and ask it questions from Slack or email. Teammates can edit its instructions and schedule.
Book a free consultation
See how AI-native ecommerce companies run their businesses
30 minutes · See a workflow built for your team
AI operating system
An AI operating system for your brand.
type.com connects your data, your team's knowledge, and shared automations to the tools everyone already works in.
- 04
Communication
Talk to it from Slack, email, Claude, or ChatGPT
- 03
Automation
Shared agents and automations do the work
- 02
Knowledge
What the system knows about your brand
- 01
Data
What's happening across your store, ads, and channels
Levels of AI adoption
The five levels of AI adoption
Most ecommerce teams have a few people getting a lot out of AI on their own. The jump is making that shared, connected, and running on its own.
- 1Ask Claude or ChatGPT questions
- 2Individual skills and automationsToday
- 3Shared projects, skills, and artifactsToday
- 4Shared agents and automations, model agnosticWith type.com
- 5A self-improving brand operating systemWith type.com
Layer 01 · Data
Data: what's happening in the business
Now
Connect what you already have
- Shopify
- aAmazon
- Meta
- KKlaviyo
- Stripe
- Spreadsheets
- RRetail portals
- 33PL and inventory
When you add new tools
Plug it in.
Nothing else changes.
One integration gateway, with permissions by person, team, and role.
Layer 02 · Knowledge
Knowledge: what the system knows about your brand
The context that makes answers sound like your brand, not a generic chatbot.
Context files
- company.md
- customer.md
- offer.md
- voice.md
Your wiki stays your wiki
type.com reads from Notion or Google Docs and keeps it current.
Skills from your power users
Each one has an owner and a version.
Shared memory
Decisions and corrections stick, for everyone.
Layer 03 · Automation
Automation: shared agents and automations do the work
Agents for each team
Marketing, ops, finance, and CX, each with the right context and access.
Runs 24/7
type.com finds, suggests, and does work in shared cloud computers.
Dashboards, apps, automations
Built for how your brand runs.
- Retail buyer meeting prep
- Amazon + DTC watch
- On-brand content
Weekly channel report
| Shopify DTC | +12% vs plan |
| Amazon | -4% vs plan |
| Wholesale | +6% vs plan |
| TikTok Shop | on plan |
Amazon dip is two top SKUs out of stock at FBA. The inbound shipment lands Thursday, so expect recovery next week.
Layer 04 · Communication
Communication: talk to it from wherever you already work
Slack
Tag type.com in any channel
Email
Reply to it like a teammate
Claude Cowork
Share work straight into type.com
ChatGPT
Share work straight into type.com
Same data, knowledge, and agents from every one of them. No new tool to learn.
How it fits together
Where Notion, Cowork, and ChatGPT fit
Notion
Where the team writes and organizes
Stays, and becomes the knowledge source type.com reads and keeps current.
Claude Cowork + ChatGPT
Where individuals think and draft
Stay, and what comes out of them gets shared into type.com.
type.com
Where it gets shared and runs
Connected to your store's data, permissioned, and running on its own.
Own your data, rent the best intelligence. Bring your Claude, Codex, or ChatGPT.
Where to start
Start small, then share it with the whole team
We'll analyze your data, show you what you can automate, and help you build the first agents with your team.
- 1
Start with your power users
A small team, the people already flying in Claude or ChatGPT.
- 2
Take what's on their laptops
The skills, prompts, and automations they've built for themselves.
- 3
Push it into shared agents
Now the whole team can use it, and it gets better every week.
Good first candidates
- Weekly channel report
- Retail buyer meeting prep
- On-brand content
Practical guides
Go deeper with a practical guide
Step-by-step setups, copyable prompts, and guardrails for the workflows on this page.
- AI for ecommerce: a practical guideDaily revenue, MER, creative fatigue, stockouts, and promo margin.
- AI for customer service teams: a practical guideTriage, reply drafts, escalations, refund checks, and SLA reports.
- AI for SEO: a practical guideSearch Console reviews, briefs, technical triage, and AI search citations.
AI agents for ecommerce operations and reporting
With the connections and permissions your team chooses, type.com can answer questions across Shopify, Klaviyo, and Google Ads in a shared Space. You can also bring in reports from other tools.
Shopify: Which products sold yesterday, and what changed after refunds?
Check orders and refunds against the store's source totals before sharing a daily net-sales report.
Klaviyo: Which email flows drove repeat purchases this week?
Compare flow results with Shopify orders and state the attribution window behind the answer.
Google Ads: Did paid search spend turn into new customer orders?
Review campaign spend and store orders over the same dates before proposing a budget change.
Meta Ads: Which campaigns are worth another week of spend?
Compare ad results with store sales, flag missing data, and prepare a recommendation for team review.
Triple Whale: Why does the dashboard total differ from the store report?
Compare a Triple Whale report or export with Shopify totals and surface date, refund, or attribution differences.
These are example workflows. See how Raycon uses shared Spaces alongside its Shopify store and Intelligems test data.
Book a free consultation.
See how AI-native ecommerce companies run their businesses, and we'll set it up for your team too.
Book a consultation



