V4: Real-World Intelligence Integration
Transform from generative UI demo to real-world connected commerce platform by integrating live web intelligence via Tavily. Bridge the gap between "art of the possible" and "production-ready agentic commerce."
Vision
V4 transforms SIX from a generative UI demo into a real-world connected commerce platform by integrating live web intelligence via Tavily. This bridges the gap between "art of the possible" and "production-ready agentic commerce."
Strategic Rationale
- • AI generates layouts based on static inventory + persona
- • Product recommendations use internal metadata only
- • No connection to real-world trends, pricing, or expert opinions
- • AI enriches decisions with live web context
- • Products show real-time social proof and expert validation
- • Layouts adapt to trending styles and market conditions
- • Demonstrates enterprise-grade agentic commerce patterns
| Visitor Reaction | V2 | V4 |
|---|---|---|
| "Is this real?" | Impressive UI simulation | This is connected to the real world |
| "Can this scale?" | Maybe, needs more work | Yes, clear production path |
| "What's the ROI?" | Hard to quantify | Trend detection, competitive intelligence |
Key Features
Real-Time Context Enrichment
Inject trending product context based on persona and occasion. For example, when a Gift Shopping persona selects "Birthday" occasion, the agent queries Tavily for "trending birthday gift ideas 2024" and enriches the layout with real-world trend data.
Product Justification with Social Proof
Display live expert reviews and citations. For example, show "★★★★★ 'Best lightweight layer' - Wirecutter Top Pick" on product cards, powered by real-time Tavily searches for expert reviews.
Price/Stock Validation (Goal-Oriented Persona)
Compare inventory against real-world availability and pricing. Show "✓ Best price we found" or "⚠️ $20 cheaper at REI" using Tavily Extract API to parse competitor product pages.
Expert Comparison Context (Comparing Persona)
Power "What experts say" panels using domain-filtered searches (Wirecutter, RTings, CNET). Provide real-time expert recommendations and comparison guides for products.
Trend-Aware Refinement Suggestions
Suggest refinements based on trending styles. For example, when detecting "Gorpcore trend" is hot, show refinement chip: "🔥 Try Gorpcore style" in the FloatingRefinementChat component.
Tavily Integration Architecture
┌─────────────────────────────────────────────────────────────┐ │ SIX V4 │ ├─────────────────────────────────────────────────────────────┤ │ │ │ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ │ │ Persona │ │ Context │ │ Inventory │ │ │ │ Selection │ │ (weather, │ │ (products, │ │ │ │ │ │ occasion) │ │ stock) │ │ │ └──────┬───────┘ └──────┬───────┘ └──────┬───────┘ │ │ │ │ │ │ │ └───────────────────┼───────────────────┘ │ │ │ │ │ ▼ │ │ ┌──────────────────────────┐ │ │ │ LangGraph Merchandiser │ │ │ │ Agent │ │ │ └────────────┬─────────────┘ │ │ │ │ │ ┌─────────────────┼─────────────────┐ │ │ │ │ │ │ │ ▼ ▼ ▼ │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │ │ Tavily │ │ Tavily │ │ Tavily │ │ │ │ Search │ │ Extract │ │ Search │ │ │ │ (Trends) │ │ (Prices) │ │ (Reviews) │ │ │ └─────────────┘ └─────────────┘ └─────────────┘ │ │ │ │ │ │ │ └─────────────────┼─────────────────┘ │ │ │ │ │ ▼ │ │ ┌──────────────────────────┐ │ │ │ Enriched Layout with │ │ │ │ Real-World Context │ │ │ └──────────────────────────┘ │ │ │ └─────────────────────────────────────────────────────────────┘
Implementation Phases
Phase 1: Trending Context Enrichment
Priority: P0 (Highest Impact, Lowest Cost) | Effort: 4-6 hours | Cost: Free tier
Inject real-world trend context into layout generation. When Gift Shopping persona selects "Birthday" occasion, agent queries Tavily for "trending birthday gift ideas 2024" and enriches layout with trending badges.
Phase 2: Expert Review Integration
Priority: P1 | Effort: 3-4 hours | Cost: Free tier
Add real expert citations to Comparing persona's comparison view. Query Tavily for expert reviews from Wirecutter, RTings, CNET and display in comparison tables.
Phase 3: Price/Stock Validation
Priority: P2 | Effort: 4-6 hours | Note: Simulated for demo
Show competitive pricing validation for Goal-Oriented persona. For demo, use simulated data with tooltip: "In production, this checks REI, Backcountry, Amazon in real-time."
Phase 4: Trend-Aware Refinements
Priority: P2 | Effort: 2-3 hours | Cost: Free tier (pre-fetched)
Suggest refinements based on trending styles. Pre-fetch category trends at build time and surface trend-aware suggestions in FloatingRefinementChat.
Demo Cost Strategy
Tier 1: Always On (Free Tier) ✅
Tier 2: On-Demand (User Triggered) ⚠️
Load expensive features only when user requests:
- • Product "Why this?" - Click to load
- • Deep dive research - "Get expert analysis" button
Tier 3: Simulated (Show the Pattern) 🎭
Demonstrate capability without real API calls:
- • Competitor pricing - Mock data + UI with tooltip
- • Real-time stock from competitors - Mock data + UI
Quick Win: Start Here
"Trending Now" Badge
Highest impact, lowest cost entry point. One API call per layout generation:
// On layout generation
const trendContext = await tavily.search({
query: `trending ${persona} shopping ${season} 2024`,
max_results: 3,
search_depth: 'basic' // Cheaper than 'advanced'
});
// Inject into hero component
hero.trendingBadge = {
text: "Trending on social",
source: trendContext.results[0].title,
url: trendContext.results[0].url
};Get Started
Full Implementation Plan
Complete roadmap and implementation details are available in the markdown documentation
docs/v4/roadmap-implementation-plan.md