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How browser storage is used.

This page explains how Huvrly uses cookies or similar browser storage to support the site and assessment experience.

Last updated: June 2026

Why browser storage is used

Browser storage may be used to preserve assessment progress, remember session state, and reduce the chance that a user loses their place while completing the intake.

What may be stored locally

  • Current step in the assessment
  • Captured answers and message history
  • Session identifiers used to reconnect to saved progress

Operational cookies or storage

Some storage may be used purely for operational and continuity purposes, such as keeping a secure assessment session connected to its saved record.

User control

Users can typically clear browser storage through their browser settings, although doing so may remove saved progress or session continuity for the assessment.

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Huvrly is the public surface for a local-first household technology system. Luna is the truth and intelligence layer inside it.
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In-home service is currently available in the Greater Phoenix area. Expansion follows later.

Built for clarity, privacy, continuity, control, and confidence.

Before you start the assessment

What this assessment covers, how privacy works, and what we will never ask for.

This is a broad household technology intake designed to build a useful risk picture of the people, devices, accounts, Wi‑Fi, smart-home surfaces, and support habits inside the home. The goal is not to interrogate you. The goal is to get enough useful signal to see the real shape of the environment quickly and accurately.

You can answer in plain English. Counts, provider names, rough age, and simple descriptions are incredibly useful. “I’m not sure” is also a valid answer.

How the process works

A short public start, then a protected private assessment.

We start light, capture your basics, create your secure account, and then move the deeper household questions into the private onboarding app so the rest of the story stays protected.

  • A short first step for your name, email, and phone number
  • Password creation to secure your progress
  • Private onboarding for the deeper household and device picture
  • A clearer service and risk plan once the environment is grounded

Why we ask broad questions

The goal is pattern recognition, not trivia.

Household risk usually hides across devices, accounts, Wi‑Fi gear, smart-home systems, family roles, and support habits. Broad inventory questions help Luna read the shape of the environment and where the weak points are likely hiding.

  • Who uses what and how the setup is actually used
  • Which devices, platforms, and services are in the mix
  • Where access, ownership, or recovery feels messy
  • Where age, drift, or unsupported gear may be increasing risk

What we will ask for

Counts, brands, usage patterns, and everyday reality.

The more detail you can share, the better the assessment can read the home without wasting time on false leads. We want enough detail to understand the risk profile of the user, the devices, and how everything is being used.

  • How many email accounts exist and which providers matter
  • How many phones, tablets, laptops, desktops, TVs, printers, and smart devices are involved
  • Whether Windows devices have antivirus or other protection in place
  • Which Apple, Google, Microsoft, carrier, router, mesh, assistant, camera, or doorbell platforms are active

What we will never ask for

No secrets, no password harvesting, no serial-number scavenger hunt.

This assessment is for understanding the environment, not collecting sensitive secrets that should stay private.

  • No passwords or login credentials
  • No two-factor codes or recovery codes
  • No serial numbers, license keys, or payment card details
  • No request to hand over private account access just to start the assessment

Helpful detail

The kind of detail that helps the risk picture

Useful detail is usually simple. Counts, providers, rough age, and who uses what are often enough to make the household pattern legible.

Accounts and identity

  • Email account count and providers
  • Apple, Google, Microsoft, and shared family logins
  • Recovery confidence and ownership confusion
  • Which accounts matter most in daily life

Devices and protection

  • How many phones, tablets, laptops, desktops, and TVs are active
  • Apple versus Windows versus Android mix
  • Antivirus or endpoint protection on Windows devices
  • Old, unsupported, or barely-used devices still hanging around

Network, smart home, and use

  • Internet provider, router, mesh, and how the Wi‑Fi feels
  • Cameras, locks, doorbells, assistants, and automations
  • Who uses the system and how support happens now
  • What feels risky, slow, confusing, or constantly annoying

Experienced pattern reading

Why this approach works

This intake is designed around long pattern exposure. When the broad picture is described well, experienced household technology work can often make accurate assumptions very quickly — not by guessing blindly, but by recognizing the combinations that usually travel together.

You do not need perfect answers. You just need honest, useful signal.

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