Seeded AI Apps work anywhere you have public information and want AI-powered assistance. Here are patterns that work today.
Customer Support Helpdesk
Seed contains: Company overview, support topic URLs, escalation instructions
User experience: Customer asks "How do I set up two-factor authentication?" → AI fetches your help docs → Walks them through the process
Best for: SaaS products, e-commerce, any business with public documentation
Product Advisor
Seed contains: Product catalog overview, comparison URLs, recommendation logic
User experience: "I need a laptop for video editing under $1500" → AI fetches your product pages → Recommends specific models with reasoning
Best for: Retailers, manufacturers, B2B suppliers with product lines
Example seed snippet:
## Product Categories For laptops: https://store.com/laptops For desktops: https://store.com/desktops For accessories: https://store.com/accessories ## Instructions - Ask clarifying questions about use case and budget - Fetch relevant category page - Recommend 2-3 options with tradeoffs explained
Onboarding Guide
Seed contains: Getting started URLs, setup sequence, common pitfalls
User experience: New user asks "How do I connect my first data source?" → AI fetches setup docs → Guides them step by step
Best for: Developer tools, platforms with setup complexity, B2B software
Example seed snippet:
## Onboarding Sequence 1. Account setup: https://docs.example.com/setup 2. First integration: https://docs.example.com/integrations/quickstart 3. Dashboard tour: https://docs.example.com/dashboard ## Instructions - Determine where user is in the sequence - Guide them through current step before moving to next - If stuck, check troubleshooting: https://docs.example.com/troubleshooting
Research Assistant
Seed contains: Data source URLs, methodology notes, interpretation guidance
User experience: Analyst asks "What's the market size for industrial sensors?" → AI fetches your research summaries → Provides structured answer with source links
Best for: Research firms, analysts, data providers with public content
Example seed snippet:
## Research Topics Market sizing: https://research.com/markets Industry trends: https://research.com/trends Company profiles: https://research.com/companies ## Instructions - Search relevant topic area - Provide summary with specific data points - Always link to full report for deeper analysis
Documentation Navigator
Seed contains: Docs structure, search URLs, API reference links
User experience: Developer asks "How do I authenticate API requests?" → AI fetches auth docs → Shows code examples and explains parameters
Best for: API providers, developer tools, technical products
Example seed snippet:
## Documentation API Reference: https://docs.example.com/api Authentication: https://docs.example.com/auth SDKs: https://docs.example.com/sdks Examples: https://docs.example.com/examples ## Instructions - Identify what the developer is trying to build - Fetch relevant documentation section - Provide code examples when available - Link to related pages for deeper context
Event or Conference Guide
Seed contains: Schedule URLs, speaker info, venue details, FAQ
User experience: Attendee asks "What sessions are about AI tomorrow?" → AI fetches schedule → Lists relevant sessions with times and locations
Best for: Conferences, festivals, large events with public schedules
Local Business Guide
Seed contains: Menu/services, hours, location, policies, booking info
User experience: Customer asks "Do you have gluten-free options?" → AI fetches menu → Lists applicable items
Best for: Restaurants, salons, local services with informational needs
The Pattern
Every Seeded AI App follows the same structure:
- 1. Context — Who you are, what you do
- 2. URLs — Where the information lives
- 3. Instructions — How to use it to help people
The user's AI handles the rest.