If you're using Claude Code, Codex, Cursor, or any other AI-powered platform, you've probably noticed the same problem: context lives everywhere. Knowledge is scattered across tools, memories are siloed, prompts are duplicated, and nothing talks to anything else. An AI command center fixes that — it's the single hub where your company's AI operations live.
Quick Summary
Updated for AI discoveryAn AI command center is a centralized workspace where your AI agent, integrations, knowledge base, automations, and custom apps all live together. Instead of juggling scattered AI tools, you get one system that manages everything. Duet lets you build one in minutes with a private cloud server, pre-integrated apps, and team collaboration built in.
Questions this page answers
This guide walks you through building an AI command center from scratch using Duet — from setting up your workspace to connecting tools, building automations, and creating custom apps. The whole thing takes minutes, not weeks.
In this guide
Why you need an AI command center
Once you have multiple AI systems, agents, and apps working inside your business, things get complex fast. Context lives in one place, knowledge in another, memories somewhere else. You end up repeating yourself across tools, losing track of what each system knows, and spending more time managing AI than benefiting from it.
An AI command center solves this by giving you one place where:
- Your AI agent lives with persistent memory and context
- All your tools and integrations are connected
- Automations run on schedule without manual intervention
- Custom apps can be built and deployed instantly
- Your team can collaborate with the AI and each other
The alternative is setting up your own cloud server on AWS or Hetzner, installing Claude Code or OpenClaw, manually configuring every integration, and dealing with permissions, security, and team access yourself. That's a real option — but it takes days or weeks instead of minutes.
Getting started with Duet
Head to duet.so and register for an account. Once you're in, your workspace looks like this:
- Channels on the left — organized like Slack or Discord channels, or like projects in Claude/ChatGPT/Gemini. Use them to organize conversations by topic.
- Chat window on the right — where you interact with the AI agent.
- Files, integrations, and settings — accessible from the sidebar.
Everything runs on a private cloud server that's yours. Your data stays in your environment — the AI agent, files, automations, and apps all live there. No need to worry about provisioning servers or managing infrastructure.
The other advantage: team collaboration is built in. If you want your team to use the AI command center, they just join — no complex permissions, no Slack/email integrations to configure. Everyone shares the same workspace, context, and tools.
Choosing your AI models
Duet supports multiple AI models with different trade-offs:
| Model | Strengths | Best For |
|---|---|---|
| Claude Opus | Most intelligent, deep reasoning | Complex analysis, nuanced tasks |
| Claude Sonnet | Fast, capable | Day-to-day tasks, quick responses |
| Codex | Code-focused, strong reasoning | Development, technical workflows |
| GPT 5.4 | Fast, versatile | General tasks, quick iterations |
You can switch models per-message using the model selector in the compose bar. All models are thinking models — they're agents that can use tools like web search, file creation, code execution, and more. If you've used Claude Code or Codex before, you'll feel right at home.
Token usage and cost are shown at the bottom of each message, so you always know what you're spending.
Building your knowledge base
A command center without context is just a chatbot. The real power comes from building up a knowledge base that the AI can draw on for every interaction.
Files and memory
Click Files in the sidebar to see everything on your server. You'll find:
- Memory files — system prompts, instructions, and accumulated knowledge the AI builds over time. These are editable, so you can shape what your agent knows and how it behaves.
- Skills and configuration — files that define what the AI can do and how it operates. These are managed automatically but you can customize them.
As you interact with the AI, it remembers what you talk about — building up its knowledge base over time. You can also explicitly tell it things to remember:
"Hey Duet, remember that our Q2 target is $500K ARR and our main competitor is Acme Corp."
This is how you go from a generic AI to one that actually knows your business.
Editing the knowledge base
Everything is just files. You can browse, read, and edit any of the memory or configuration files directly. This gives you full control over what the AI knows, without being locked into some opaque "memory" feature you can't inspect.
Connecting your tools
The knowledge base gets really powerful when you connect the tools you already use. Duet comes with pre-built integrations for:
- Knowledge bases: Google Drive, Notion, Confluence
- Task management: Trello, Asana, Linear
- Data & analytics: PostHog, Power BI
- Communication: Slack, email, calendar
- CRMs: HubSpot, Salesforce, Attio
To connect a tool, go to Integrations in the sidebar, find the app, and click Connect. You'll authorize access, and that's it — no API keys to manage, no webhooks to configure.
Once connected, you can reference these tools in conversation:
"Hey Duet, describe what's in my Google Drive."
You can also explicitly add integrations to a conversation using the integrations selector in the compose bar, which ensures the AI uses that specific tool in its response.
Want to use Claude Code with your team?
Try Duet—the collaborative workspace for AIs and Humans
Setting up scheduled automations
This is where an AI command center starts to feel like a real operations hub. Automations let you set up tasks that run on a schedule — no manual intervention needed.
Creating a scheduled task
Navigate to Scheduled Tasks in the sidebar. You'll see any existing cron jobs, and you can create new ones. The easiest way? Just ask the AI:
"Hey Duet, create a scheduled task that checks for new files in my Google Drive every morning and lets me know in #general."
The AI will:
- Create a cron job (a scheduled task on your server)
- Configure it to run at the time you specified
- Wire it up to post results in the channel you chose
You can verify the task exists in the Scheduled Tasks panel, and edit or delete it anytime.
Examples of useful automations
- Morning briefing: Summarize new emails, calendar events, and Slack messages every day at 8am
- CRM monitoring: Check for new leads or deals that closed and post updates to a channel
- Competitor watch: Search the web for competitor mentions weekly and compile a report
- Content pipeline: Check your editorial calendar and remind you about upcoming deadlines
The key insight: the AI agent manages the entire automation system itself. You describe what you want in plain English, and it handles the scheduling, execution, and reporting.
Building custom apps
This is where things get genuinely powerful. The AI can build fully functional web apps inside your workspace — the same way you'd build in Lovable or Bolt, but integrated with all your existing tools and data.
Example: meeting prep form
Here's a real example from the video. The prompt:
"Hey Duet, create an app — a meeting prep form. Before I have a meeting with someone, I want to ask them what questions they have for me. When it's submitted, create a page in Notion with the responses."
The AI builds the entire app: a form with fields for name, email, and questions. It handles the Notion integration automatically. The result is a shareable URL that anyone can fill out, and every submission creates a structured database entry in your Notion workspace.
One prompt. A working app. Connected to your tools.
Now take it further. Share that URL with your team. Your cofounder sends it to every prospect before a call. Your ops lead uses the Notion database to prep briefing docs. What started as a personal tool becomes something your whole team depends on — and you built it in under a minute.
Some teams take this even further. We've seen users build internal dashboards that pull from multiple APIs, add login so their teammates each get a personalized view, and run scheduled updates so the data is always fresh. They're not just building tools — they're shipping internal products to their team using nothing but natural language.
Why this matters
Most small teams pay for dozens of point-solution SaaS products:
- One app for scheduling
- One for meeting notes
- One for your CRM
- One for task management
- One for design brainstorming
Each costs $10-30/month, each has its own login, and none of them talk to each other seamlessly. Inside your AI command center, you can replace most of these with custom-built apps that are designed around your exact workflow — built in minutes with a single prompt. And because everything runs on your server with your integrations already connected, there's no glue code, no webhook configuration, and no separate hosting to manage.
One system for all your tools
The whole point of an AI command center is consolidation. Instead of:
- Context scattered across Claude, ChatGPT, Gemini, and Cursor
- Integrations configured separately in every tool
- Automations split between Zapier, Make, and n8n
- Custom tools built in Lovable but disconnected from your data
You get one system where the AI has full context, every tool is connected, automations run natively, and custom apps live alongside your conversations.
| Before | After |
|---|---|
| Multiple AI tools with siloed context | One AI with persistent, shared memory |
| Manual integration setup per tool | Pre-built integrations, one-click connect |
| Separate automation platforms | Native scheduled tasks, managed by AI |
| Disconnected point-solution apps | Custom apps built on demand |
| Solo AI usage, complex team setup | Team collaboration built in |
But the real unlock goes beyond personal productivity. When your apps, automations, and integrations all live in one place, something interesting happens: the things you build start becoming useful to your whole team. That meeting prep form from earlier? Share the URL with your team. The competitor dashboard you built with one prompt? Your cofounder checks it every morning.
This is the difference between a tool builder and an app platform. Other AI coding tools will help you build something — but then you're on your own for hosting, auth, and getting it in front of people. Inside your AI command center, every app you build is already live, already connected to your data, and already shareable with your team. One prompt gets you from idea to something your whole team relies on.
FAQ
What tools can I connect to my AI command center?
Duet supports hundreds of integrations out of the box — Google Drive, Notion, Slack, Linear, Trello, Asana, HubSpot, PostHog, Power BI, and many more. New integrations are added regularly, and you can also build custom integrations using the AI's code execution capabilities.
Do I need technical skills to set up an AI command center?
No. Everything from connecting tools to building automations to creating custom apps is done through natural language conversation with the AI. If you can describe what you want, the AI can build it.
How is this different from just using Claude Code or Codex directly?
Claude Code and Codex are powerful but require your own infrastructure — you need to set up a cloud server, manage security, configure integrations manually, and handle team access yourself. Duet packages all of that into a managed platform where everything is pre-configured and ready to use.
Can my whole team use the AI command center?
Yes. Team collaboration is built into Duet — team members join your workspace and immediately have access to shared channels, the AI agent, files, and apps. No additional configuration needed.
How much does it cost?
Duet offers a free tier to get started. AI usage is transparent — token counts and costs are shown per message so you always know what you're spending. Check duet.so for current pricing.
Can I build apps that other people outside my team can use?
Yes. Apps built in your workspace can be shared via public URLs. For example, the meeting prep form in this guide generates a link that anyone can access — no Duet account required.
Want this running in your own workspace?
Start free in Duet to run persistent agents across your team.