🏠Conversational extraction

Your space says as much about you as your personality

Where you live, how you live, and how you feel in your space are data that transform the usefulness of an AI.

Do you live in a major city or a village of 200 people? In a minimalist penthouse or in chaos with two cats and three kids? Love your neighborhood or have been wanting to leave for five years? These aren't decorative data — they're the stage where your life happens. An AI recommending restaurants without knowing you live in a remote hamlet isn't personalized — it's absurd.

8-15 minguided conversation
4vital facts extracted
2cross-layer axes: aesthetics × values

What does this conversation explore?

The living environment module maps your relationship with physical space: where you live (city, town, housing type), what your home is like (domestic aesthetics, order, functionality), your neighborhood and its role in your life, and your plans for change (if any).

What matters is the emotional relationship with space, not its square footage. Is your home a refuge or a cage? Is your neighborhood your village or a dormitory? Are you rooted or bags packed? These patterns cross-reference with the cognitive style's order dimension and AVI security.

Rootedness vs. mobility

Are you where you want to be or where life put you? The axis between putting down roots and wanting to fly that calibrates the AI's geographic recommendations.

Habitat aesthetics

Is your home intentional or improvised? The level of aesthetic intentionality in your space cross-references with your general aesthetic sensitivity.

Spatial needs

Do you need your own space or thrive in little? Introversion, family, remote work — everything shapes how much space your wellbeing requires.

Methodological foundation

Environmental psychology has spent decades demonstrating that where we live affects wellbeing, productivity, and relationships. The module applies Gifford's (2007) person-environment concepts adapted to conversational extraction.

Triangulation with cognitive style (order, complexity) and values (security, stimulation) validates coherence between what someone says about their space and how they use it psychologically.

Key references

Gifford, R. (2007). Environmental psychology: Principles and practice (4th ed.). Optimal Books. · Gosling, S. D., Ko, S. J., Mannarelli, T., & Morris, M. E. (2002). A room with a cue: Personality judgments based on offices and bedrooms. Journal of Personality and Social Psychology, 82(3), 379.

How does the AI use this?

Your living environment grounds AI responses in your geographic and spatial reality. Leisure recommendations, logistics, productivity, relationships — everything changes depending on where and how you live. An AI that knows you live in a 35m² studio with your partner and a dog won't suggest setting up a home office.

Without profile

"For working from home, I recommend a dedicated space with good lighting, separate from your rest area..."

With your Afini profile

"In your 35m² studio in Barcelona with your partner also remote-working: a dedicated space is science fiction. Let's talk rotation of use, noise-canceling headphones, and cafés with good wifi as your third space..."

One assumes you have a mansion. The other knows your square footage.

Your space matters

8-15 minutes of conversation that give your AI the geographic and spatial context it needs to stop recommending absurd things.

Living Environment — Where and how you live — Afini.ai