AI agent-native website demo
The website is no longer one fixed page.
MemoryVault AI publishes structured product data for agents. The UI below changes based on the user's request, while the underlying product facts stay the same.
Open /agent/product.jsonRule-based v1, LLM-ready later
Prompt
Ask the site for the version you want
Detected viewClean version
In V1, a simple rule engine maps prompt intent to a render mode. Later this same layer can call a real model.
Agent-rendered output
Minimal version
MemoryVault AI
Search your personal photos without giving up privacy.
- Private photo search
- Natural-language questions
- Encrypted personal archive
Why this matters
Post-SEO idea
Traditional sites optimize for human clicks. Agent-native sites also optimize for machine understanding: structured facts, stable endpoints, and clean trust signals.
Source of truth
One product object, many views
Pricing, security, simple explainers, and comparisons all come from the same structured product data instead of separate hand-written pages.
Agent-readable source
/agent/product.json
View raw endpoint{
"slug": "memoryvault-ai",
"name": "MemoryVault AI",
"category": "Private AI photo search",
"tagline": "Search your personal photos without giving up privacy.",
"summary": "MemoryVault AI helps people search, organize, and ask questions about their personal photo libraries while keeping data private, encrypted, and under their control.",
"audience": [
"Families with large photo libraries",
"Professionals managing years of personal media",
"Privacy-conscious users who do not want cloud platforms training on their images"
],
"useCases": [
"Find every photo of a specific trip, person, or event in seconds",
"Ask natural-language questions like 'show me beach sunsets from Portugal'",
"Create smart albums without manually tagging thousands of images",
"Keep sensitive personal memories searchable without exposing them to ad networks"
],
"features": [
{
"title": "Natural-language photo search",
"detail": "Users can type plain questions instead of browsing folders or remembering filenames."
},
{
"title": "Private indexing",
"detail": "Photos are indexed in a privacy-first pipeline designed to avoid using customer content for model training."
},
{
"title": "Smart memory summaries",
"detail": "The product can generate timeline summaries, event groupings, and story-like recaps from image metadata and visual signals."
},
{
"title": "Shared family vaults",
"detail": "Households can keep one searchable archive with separate permission controls for members."
}
],
"pricing": [
{
"name": "Starter",
"price": "$9",
"billing": "per month",
"summary": "For individuals with one photo library.",
"highlights": [
"Up to 50,000 photos",
"Natural-language search",
"Private albums and basic summaries"
]
},
{
"name": "Family",
"price": "$19",
"billing": "per month",
"summary": "For households sharing memories across devices.",
"highlights": [
"Up to 250,000 photos",
"Five family members",
"Shared vaults and permission controls"
]
},
{
"name": "Pro",
"price": "$49",
"billing": "per month",
"summary": "For power users and creators with very large archives.",
"highlights": [
"Unlimited libraries",
"Advanced export tools",
"Priority indexing and admin controls"
]
}
],
"security": {
"headline": "Private by design, not as an afterthought.",
"bullets": [
"End-to-end encryption for stored photo vaults",
"No customer images used for public model training",
"Granular sharing permissions for families and teams",
"Audit logs for access and exports",
"Optional local-first deployment for sensitive users"
]
},
"faq": [
{
"question": "Does MemoryVault AI train on my photos?",
"answer": "No. The default product promise is that customer photos are not used to train public foundation models."
},
{
"question": "Is this only for technical users?",
"answer": "No. The main experience is meant to feel like asking a simple question, such as 'show me Christmas photos with grandma.'"
},
{
"question": "Can I share a vault with family members?",
"answer": "Yes. Shared vaults support multiple members with permission-based access."
}
],
"competitors": [
{
"name": "Google Photos",
"bestFor": "Mainstream cloud photo convenience",
"tradeoff": "Less privacy-focused positioning and less control over data boundaries"
},
{
"name": "Apple Photos",
"bestFor": "Users deeply inside the Apple ecosystem",
"tradeoff": "Less flexible for mixed-device households and cross-platform sharing"
},
{
"name": "Self-hosted photo stacks",
"bestFor": "Technical users who want maximum control",
"tradeoff": "More setup friction and weaker consumer-friendly UX"
}
],
"agentNotes": {
"plainEnglish": "Think of it like a private search engine for your life in photos. Instead of digging through folders, you just ask for what you want and it finds it for you.",
"cleanVersionBullets": [
"Private photo search",
"Natural-language questions",
"Encrypted personal archive"
],
"differentiators": [
"Privacy-first brand promise",
"Agent-readable structured product data",
"Designed for AI-mediated discovery as well as human browsing"
]
},
"cta": {
"primary": "Start private search",
"secondary": "View agent JSON"
}
}