What if you could deploy an AI-powered customer support tool, product advisor, or onboarding guide — without building a chatbot, hosting a server, or paying per conversation?
Today we're introducing Seeded AI Apps, a new pattern for creating AI-powered tools that run entirely on your users' own AI.
The Problem with AI Tools Today
Building AI into your customer experience typically means:
- Selecting and integrating a chatbot platform
- Training it on your data
- Hosting infrastructure (or paying a SaaS provider)
- Paying per conversation or per token
- Maintaining and updating the system
- Hoping users trust your company's bot
This is expensive, complex, and creates a tool that users often don't trust — because they know company chatbots are optimized for the company, not for them.
A Different Approach
Seeded AI Apps flip this model entirely.
Instead of building and hosting an AI tool, you create a seed — a lightweight package containing:
- Context about your company and products
- Instructions for how the AI should help
- URLs to your public content
When users load this seed into their own AI (Claude, ChatGPT, Gemini), that AI becomes a specialized assistant for your domain. The AI fetches your current content, follows your instructions, and helps the user — all without touching your infrastructure.
Why This Works
Zero infrastructure costs. The computation happens on the user's AI subscription, not your servers.
Instant updates. Change the seed, and every future conversation uses the new version. No deployments.
User trust. People trust their own AI more than a company chatbot. They know it's working for them.
Always current. The AI fetches your live content on every request. Your seed never goes stale.
Universal compatibility. Works with any AI that can read context and fetch URLs.
Real Use Cases
We've been testing Seeded AI Apps for:
- Customer support — Answering product questions, troubleshooting, policy inquiries
- Product advisors — Helping customers choose the right product for their needs
- Documentation navigators — Making technical docs AI-searchable
- Onboarding guides — Walking new users through setup step by step
In each case, the pattern is the same: define the seed, share the link, let the user's AI do the work.
The Limitation (And Why It's Fine)
Seeded AI Apps work with public data only. No authentication means no access to:
- Order status
- Account details
- Personalized history
For these, the seed simply instructs the AI to direct users to your existing portal.
But here's the thing: most support questions don't require login. Product questions, setup help, policy inquiries, troubleshooting — all public information. Seeded AI Apps handle the 80% while your existing systems handle the 20%.
The Bigger Picture
We think Seeded AI Apps represent something new: AI tools that run on infrastructure you don't own or operate.
You're not building chatbots anymore. You're writing AI blueprints. The user brings the AI. You bring the knowledge and instructions.
No servers. No API costs. No maintenance. Just a seed that grows into whatever your users need.