Nigeria Rental Assistant — Conversational Housing Guide

Thomas — Sun, 08 Feb 2026 22:56:41 +0000

What I Built

I built a conversational AI agent that helps people find rental apartments in Nigeria while avoiding common real-estate pitfalls.

Renting in Nigeria isn’t just about price; tenants often deal with:

Hidden costs (agency fees, legal fees, caution fees)
Unreliable infrastructure (power, water, road quality)
Misleading listings that don’t reflect reality

This agent acts like a street-smart local guide.

Instead of just listing apartments, it answers questions like:

“Is ₦800k realistic for a 2-bedroom in Lekki?”
“What extra fees should I expect?”
“Is this area good if I don’t have a car?”

The experience is friendly, conversational, and practical, designed to feel like asking a knowledgeable friend — not browsing a cold property website.

Demo

🔗 Live demo: Link

The demo shows:

Natural back-and-forth conversation
Area-specific rental guidance
Cost breakdowns beyond rent
Context-aware follow-up questions

How I Used Algolia Agent Studio

I used Algolia Agent Studio to power the agent’s retrieval-augmented conversations.

Indexed Data

I created a custom index containing:

Rental listings across Nigerian cities
Location metadata (state, city, neighborhood)
Rent ranges and upfront fees
Infrastructure notes (power, water, road access)

This data was indexed with searchable attributes and filters, enabling the agent to:

retrieve relevant locations,
present realistic price ranges,
and provide contextual housing details.

Retrieval-Enhanced Dialogue

Instead of relying on generic LLM responses, the agent:

retrieves relevant listings and area data from Algolia,
grounds its answers in real indexed information,
and responds conversationally using that context.

Prompt Engineering

I used targeted system instructions to ensure the agent:

stays Nigeria-specific,
avoids hallucinating prices or locations,
explains why a listing may or may not be realistic,
and highlights hidden costs and infrastructure realities.

Algolia handles what to retrieve; the agent focuses on how to explain it clearly to a human.

Why Fast Retrieval Matters

Real-estate conversations are interactive:

users refine budgets,
switch locations,
compare trade-offs quickly.

Algolia’s fast, low-latency retrieval makes the agent feel responsive and intelligent:

answers arrive instantly,
follow-up questions stay contextually grounded,
conversations flow naturally without delays.

Without fast retrieval, the experience would feel like guessing.

With Algolia, the agent feels informed, confident, and trustworthy — critical for high-stakes decisions like housing.

Thanks to Algolia Agent Studio for making it possible to focus on solving a real local problem, not the underlying search plumbing.

DEV Community: Thomas