ProjectBuilding

Project profile

Fleur AI

A science-informed parenting assessment and report engine for overwhelmed modern families.

Fleur turns parenting uncertainty into a clearer pattern: answer a short assessment, receive a practical read on what is happening at home, and leave with next experiments rather than generic advice.

Building

Status

Registry state

Parental stress and evidence-informed support

Profile

Macro tailwind

2026-05-28

Updated

Public build log

What it is

A public parenting-style assessment, research library, personalized report flow, and launch-content system. It is built as a lightweight web product that can test demand before a heavier app or care platform exists.

Parental stress and evidence-informed support

Parents are navigating higher stress, more fragmented support networks, and a noisy advice market. The opportunity is to package credible research into a calm, practical consumer experience without pretending to replace clinical care.

Core functionality

Assessment flow

Guides parents through a short, mobile-friendly set of questions and maps answers into practical parenting-pattern language.

Personalized reports

Generates a structured report that explains strengths, pressure points, and next experiments in plain English.

Research-backed content

Maintains topical research pages and visibility assets so the product can earn trust through useful public education.

Launch creative

Includes static assets and motion concepts for turning the assessment into shareable, testable acquisition material.

Architecture

The current build is intentionally web-first: static public pages, client assessment logic, server-side report delivery paths, and asset-generation scripts live together so experiments can move quickly.

Stack

  • Static HTML/CSS/JavaScript public site
  • Node server routes for report delivery experiments
  • Supabase-backed report-order storage pattern
  • Stripe and email delivery paths for paid report flow
  • Remotion and script-based marketing asset generation

Data flow

  • Visitor lands on public education or assessment pages.
  • Assessment answers feed scoring and section-insight logic.
  • Report content is assembled into a downloadable or emailed artifact.
  • Research pages and visibility assets create an organic acquisition loop.

Safeguards

  • Public language stays educational and non-clinical.
  • Payment and email flows keep secret keys server-side.
  • Profile copy should not make health outcome claims beyond cited public sources.

Customer and business lens

Wedge

Start with a low-friction assessment that gives parents a useful mirror before asking them to buy or subscribe.

Model

Likely paths include paid reports, guided digital programs, parent education bundles, or partnerships with family-support brands.

Use cases

  • Discover a parenting pattern from a short assessment.
  • Download or receive a practical report.
  • Use research pages as entry points from search and social.
  • Turn report insights into weekly family experiments.

Risks to watch

  • Advice must stay carefully bounded and avoid clinical overreach.
  • Trust depends on clear sourcing, plain language, and responsible disclaimers.
  • The first paid product has to feel concrete enough to beat free internet advice.

Personas

Stretched primary caregiver

Wants clarity and relief, but does not have time to read dense parenting books or compare dozens of advice frameworks.

Research-seeking parent

Trusts science, wants the why behind recommendations, and responds to transparent sourcing.

Partnered parents trying to align

Need a shared language for patterns at home so the conversation is less blame-oriented.

Steady Guide

Represents calm structure, consistency, and a parent who wants to preserve warmth without losing boundaries.

Watchful Protector

Represents high vigilance and care, useful for explaining where protection helps and where it may create friction.

Soft Landing Parent

Represents emotional attunement and repair, with room to sharpen structure when needed.

Progress kanban

Shipped

  • Public landing pages and research pages
  • Assessment and scoring foundation
  • Sample report generation and report-delivery setup
  • Brand, persona, and launch creative assets

In flight

  • Assessment flow refinement
  • Report packaging and paid-delivery polish
  • Visibility and content experiments

Backlog

  • Longitudinal parent progress loop
  • More rigorous evidence review workflow
  • Partner or practitioner-facing packaging

Visual evidence

Fleur AI parenting assessment hero artwork
Assessment-first public landing concept.
Fleur AI brand kit overview
Early brand system for public trust and launch consistency.
Fleur AI Steady Guide persona visual
Persona visual used to make assessment outputs feel memorable.

Links and build receipts

Build receipts

  • Current source signals include assessment pages, research pages, scoring logic, report scripts, payment/report-delivery setup, and Remotion creative.
  • Recent build work focused on assessment flow controls, analytics experiments, landing mockup sizing, and public visibility polish.