AI Product· 14-day MVP

PropertyPilot.ai

From a conversation with a host to an AI host, tested with 2 holiday rentals

The story

Before

A property rental company with 2 holiday homes in the Netherlands answers the same questions all day. WiFi, towels, check-in. Via WhatsApp, Booking, Airbnb. Being available 24/7 is exhausting.

Obstacle

Guests ask questions in broken English, German, French. Simple chatbots fail on nuance. Generic AI hallucinates answers. They don't dare to trust it without supervision.

Insight

Start small. Two homes. One host who dares to test. Build the AI host that learns from real guest questions. Validate the concept before scaling.

After

14 days later: AI host live at 2 holiday homes. Question comes in, AI analyses, answers or escalates. The host monitors, teaches the system. Now 2 months later: 90%+ answered automatically.

The first 14 days

From concept to working prototype.

1
Day 1

Discovery: which questions keep coming back?

We analyse historical messages. "Where is the WiFi password?" comes back 50x per month. "Extra towels?" 30x. We make a top 20 of repetitive questions.

2
Day 2

Designing the knowledge base structure

How do we organise the knowledge? Per home, per category, per question type. The host must be able to update it easily without tech skills.

3
Day 3

AI model selection and RAG setup

We choose GPT-4 with RAG (Retrieval Augmented Generation). The AI searches the knowledge base first before answering. No hallucinations, only facts.

4
Day 4

Multilingual support integration

DeepL API for detection and translation. Question comes in in German? AI answers in German. Knowledge base stays Dutch, translation happens on the fly.

5
Day 5

Building the knowledge base editor

Simple interface for hosts. Type "WiFi password is on the fridge", save, done. No complicated admin panels.

6
Day 6

Confidence scoring and escalation

AI gives every answer a confidence score. Below 90%? Question is forwarded to the host via chat. Safety built in.

7
Day 7

First test with real questions

We feed in 50 historical questions. How does the AI react? Which answers are good? Where does it doubt? We fine-tune the prompts.

8
Day 8

Booking.com webhook integration

New messages from Booking come in automatically. AI reads, analyses, answers. Within 30 seconds. Guests don't notice it's AI.

9
Day 9

Airbnb and Natuurhuisje connections

Same flow for other platforms. One knowledge base, all channels. The host only has to update one place.

10
Day 10

Learning loop: from escalation to knowledge

When the host answers a question, he can directly say: "Save this for next time." The AI learns with every interaction.

11
Day 11

Response time optimisation

From 30 seconds to 5 seconds. Caching, smart routing, parallel processing. It has to feel instant.

12
Day 12

Dashboard for hosts

Overview: how many questions answered? Which escalations? What knowledge is missing? Insights to improve the system.

13
Day 13

Tone of voice fine-tuning

The AI must sound like a friendly host, not like a robot. We test different tones. Warm but professional.

14
Day 14

Go-live with first holiday home

We go live with one property. Real guests, real questions. The host monitors along. It works. First 10 questions: 100% correctly answered.

1-3 months later

Month 2 learning: understanding broken English

The product has been live for 2 months. On average 2 questions per 2 days from real guests, about 60 questions total. But we also trained the AI on old messages from the host's past year. That gave us mass of test data. The big learning of month 2: guests often write in broken English. "Where toilet paper extra?" Grammatically incorrect, but the intent is clear. We adjusted the confidence scoring: now the AI also evaluates language quality. With poor English, the confidence must be even higher (95%+) before it answers.

2 holiday homes live, ~60 real guest questions answered
Trained on old messages from the past year
Confidence scoring for broken language adjusted (95%+ threshold)
Goal coming months: 5 hosts as pilot
Expanding knowledge base with winter and summer-specific questions

1 year later

Vision: the AI host for holiday rentals in the Netherlands

In a year we want PropertyPilot live at 50+ hosts. From 2 homes to hundreds of properties. The AI must understand what guests ask, even in broken language. Seasonal knowledge (heating in winter, BBQ in summer), region-specific info, even smart home integration. We grow slowly, validating each step. Every new host is a learning moment. No big bang launch, but organic growth based on proven value.

Goal: 50+ hosts, 200+ holiday homes
Support for 10+ languages including broken language
Smart home integration (Zigbee, Home Assistant)
Seasonal knowledge base
Self-sustaining as product, break-even

"I slept badly because guests still asked questions at 11 PM. Now the AI answers immediately, in their own language. My reviews are up, my stress is gone. This is magical."

C. Poortman, Holiday rental host, PropertyPilot pilot

Technology

Vue.jsTypeScriptOpenAI GPT-4RAGDeepL APIPostgreSQLWebhooksDocker

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