πŸ€– AI STRATEGY

AI in ZappActive

Practical Guide - No BS

Honest assessment of where AI actually adds value vs where it's just marketing buzzwords. Start simple, scale smart.

🎯 The Core Truth

Your village strategy is brilliant BECAUSE it's simple.
Don't let AI complicate what works. AI should enhance, not replace, the core value.

AI is a tool, not the product.

βœ… Where AI Actually Adds Value

Honest assessment - these are worth building

1. Smart Business Summaries

MVP - DO THIS FIRST
πŸ“

You Already Proved This Works!

Instead of manually writing descriptions, use LLM to generate from real data:

❌ Manual Way:

You write: "Coffee Lab is a cozy cafe with specialty coffee, WiFi, and outdoor seating..."

Time: 10 minutes per business

βœ… AI Way:

"Locals love the flat white here. Busy mornings, quiet afternoons. Great for remote work with reliable WiFi."

Time: 5 seconds per business

Why This Works:

  • Saves you hours of manual curation
  • Updates automatically as new reviews come in
  • Sounds natural, not robotic
  • Highlights what users actually care about

MVP Implementation:

async function generateBusinessSummary(businessData) {
  const prompt = `
  Create a 2-sentence local guide description for:
  
  Name: ${businessData.name}
  Type: ${businessData.category}
  Reviews say: ${businessData.topReviews}
  Tags: ${businessData.tags}
  
  Write like a local recommending to a friend.
  Focus on what makes it special and who it's for.
  `;
  
  const response = await claude.messages.create({
    model: 'claude-sonnet-4-20250514',
    max_tokens: 200,
    messages: [{ role: 'user', content: prompt }]
  });
  
  return response.content[0].text;
}

Β£0.16

Total cost for 80 businesses

13 hours

Time saved vs manual

HUGE

Value for scaling

2. Natural Language Search

MVP - GAME CHANGER
πŸ”

Users Don't Search Like Robots:

❌ Robot search:

"restaurant italian"

βœ… Human search:

"romantic dinner spot not too expensive"

"somewhere with good coffee and WiFi for working"

"kid-friendly pub with outdoor seating"

AI Understands Intent:

Query: "romantic dinner under Β£50"

LLM interprets:

  • β€’ Category: Restaurant
  • β€’ Vibe: Romantic (tags: date night, intimate, cozy)
  • β€’ Price: ££ (not £££ or ££££)
  • β€’ Group size: 2 people
  • β€’ Time: Evening

Returns: 3 perfect matches ranked by relevance

Perfect for Villages:

  • Limited businesses (AI can be smart about matching)
  • Users know what vibe they want, not specific names
  • Personal recommendations matter

Β£0.01

Cost per search

Medium

Complexity

HIGH

User value (feels like magic)

3. Personalized Discovery

🎯
PHASE 2 - Month 6+

After you have usage data, AI learns patterns and suggests relevant discoveries.

Example:

"Sarah visits coffee shops every Tuesday morning. New quiet cafe just opened - perfect for your work sessions!"

When: After 3-6 months of data

4. AR Photo Recognition

πŸ“·
PHASE 2 - After AR Works

Validates hidden item discoveries by recognizing actual locations via camera.

Why it matters:

  • β€’ Prevents cheating (can't claim from home)
  • β€’ Real treasure hunt experience
  • β€’ More engaging than GPS-only

Cost: ~Β£0.001 per scan

5. Automated Content Curation

πŸ€–
MVP - SCALE YOUR WORKFLOW

AI scrapes and synthesizes content from multiple sources automatically.

Scale benefit:

5 villages = 400 businesses
Manual: 66 hours
AI: 35 minutes + review

This is how you scale without hiring a team

6. Dynamic Offers & Timing

⏰
PHASE 2 - Month 3-4

Predicts optimal times to notify users about offers at slow periods.

Example:

"Coffee Lab is quiet this afternoon. Free upgrade 2-4pm. Help support local!"

Helps businesses fill slow periods

πŸ’Ž The Killer AI Feature

"Local AI Guide"

Example conversation:

User opens app in Lechlade:

"Hi! I'm your Lechlade guide. What are you in the mood for?"

User types:

"coffee and somewhere to work"

AI responds:

"Coffee Lab has the best WiFi and quietest spot is the back corner. They're not busy right now (Tuesdays never are).

Or if you want more space, the library cafe just got new desks and is basically empty this time of day.

Both have the free pastry offer today!"

Why This is PERFECT for Villages:

  • Feels like asking a local for recommendations
  • Uses real-time data (is it busy NOW?)
  • Combines with your QR code offers
  • Personality makes it memorable

Implementation:

  • β€’ LLM with context about all businesses
  • β€’ Real-time occupancy (from check-ins)
  • β€’ Current offers database
  • β€’ User history (after they have some)

Cost: ~Β£0.05 per conversation

❌ Where AI is Bullshit

Don't waste time on these - they add no real value

1. AI-Generated Images

Bad idea: AI creates fake photos of businesses

Why: Users want REAL photos. Trust matters in villages.

Better: Use actual photos from business or users

2. AI Chatbot (Generic)

Bad idea: "Chat with our AI assistant!"

Why: Users just want to find a place, not chat

Better: Smart search that understands natural language

3. "AI-Powered" Everything

Bad idea: Marketing buzzwords without real value

Why: Users don't care about AI, they care about results

Better: Use AI behind the scenes, don't promote it

4. Complex Prediction Models

Bad idea: "AI predicts where you want to go next"

Why: Creepy + you don't have enough data in a village

Better: Simple personalization based on saves/check-ins

πŸ—ΊοΈ AI Implementation Roadmap

MVP (Weeks 1-8)

START HERE

βœ… USE AI FOR:

1. Business summaries

From reviews + data

Cost: Β£0.002/business = Β£0.16 total

Saves: 13 hours

2. Natural language search

Understand user intent

Cost: Β£0.01/search

Value: Users find what they want

❌ DON'T USE AI FOR:

  • Personalization (no data yet)
  • Predictions (no patterns yet)
  • Complex features (focus on validation)
  • Marketing buzzwords

Total AI cost for MVP: Β£50-100/month

Phase 2 (Months 3-6)

ADD SMART FEATURES

3. Smart notifications

"Quiet time at X, special offer" based on patterns

4. Better search understanding

"romantic date spot" β†’ correct results with context

5. Automated content updates

Re-generate summaries monthly, incorporate new reviews

Total AI cost: Β£200-300/month

Phase 3 (Months 6-12)

PERSONALIZATION

6. Personalized recommendations

Based on check-ins, saves, searches

7. AR photo recognition

Validate hidden item discoveries, prevent cheating

8. Predictive features

Best time to visit, trending spots

Total AI cost: Β£500-800/month

πŸ’° AI Costs (Realistic Numbers)

MVP Stage

80 businesses, 50 users, 500 searches/month

Business summaries (one-time): Β£0.16
Search queries (500 Γ— Β£0.01): Β£5
Content updates: Β£1/mo
Total per month: Β£6-10

Less than one coffee! β˜•

At Scale

5 villages, 400 businesses, 500 users, 5000 searches/month

Business summaries (one-time): Β£0.80
Search queries (5000 Γ— Β£0.01): Β£50
Personalization: Β£100/mo
Content updates: Β£20/mo
Total per month: Β£170-200

Less than hiring someone for 1 day! πŸ’Ό

🎯 My Honest Recommendation

For MVP - Do This:

1. Use AI for business summaries βœ…

You already proved this works. Saves massive time. Professional quality.

2. Use AI for smart search βœ…

Differentiates from Google Maps. Small cost, huge value. Users feel understood.

3. That's it for MVP ⚠️

Don't overcomplicate. Validate the core first. Add more AI later.

For Later (Phase 2+):

  • Add personalization (once you have data)
  • Add smart notifications (once you have patterns)
  • Add AR photo recognition (once AR is working)
  • Add "local guide" chatbot (once you have users)

The village strategy works because it's SIMPLE.

AI should make it better, not more complicated.

βœ… What to Do This Week

1️⃣

Prove Core Works

(No AI needed yet)

  • β€’ Map 10 businesses
  • β€’ Walk into 3 shops
  • β€’ Sign first partner
2️⃣

Add AI to Scale

(Once core works)

  • β€’ Generate summaries
  • β€’ Test smart search
  • β€’ Measure improvement
3️⃣

Measure Results

(What actually matters)

  • β€’ Businesses sign up?
  • β€’ Users return weekly?
  • β€’ QR codes scanned?

AI is the cherry on top.

Get the cake right first. πŸŽ‚

πŸ’‘ Bottom Line

You avoided AI for years. That was probably smart - most "AI" apps are bullshit.

But now:

  • LLMs are good enough to be genuinely useful
  • Costs are low enough to experiment
  • Your use case (local recommendations) is perfect for AI

Use AI Where It Adds Real Value:

βœ… Saves you time (summaries)

βœ… Makes users happier (smart search)

βœ… Helps you scale (automated curation)

Don't Use AI for Marketing:

❌ "AI-powered" buzzwords

❌ Complex features nobody needs

❌ Replacing human judgment

You've been thinking about this since 2018.

You've got the village strategy figured out.

Now add AI as a force multiplier, not a distraction.

πŸš€