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EazyDataFix Website

This repository powers eazydatafix.com: the customer-facing product website, public Data Studio preview, developer documentation, public blog and private editorial Content Studio for EazyDataFix.

Product direction

EazyDataFix turns messy CSV and Excel files into transparent, reviewable outputs for:

  • Analysis Ready data
  • Leakage-safe ML Ready inputs
  • Power BI Ready model inputs

The primary customer flow is:

  1. Upload a file or load a sample.
  2. Select the intended outcome.
  3. Inspect detected issues.
  4. Approve or reject proposed transformations.
  5. Compare the original and cleaned preview.
  6. Export the result with readiness evidence.

The public /studio route is intentionally an honest browser-local CSV preview. It demonstrates the customer experience without claiming to expose the complete Python engine. The open-source v1.4.0 engine remains available through PyPI and the developer documentation.

Public routes

  • / — product-facing homepage
  • /studio — customer Data Studio preview
  • /pricing — free preview, open-source engine and assisted pilot scope
  • /blog — published content generated and reviewed through Content Studio
  • /docs — Python documentation
  • /examples — runnable examples
  • /roadmap, /changelog, /analytics — project evidence and status

Private Content Studio

The existing /admin/content-studio route remains the secure editorial workspace for:

  • Blog draft generation and review
  • SEO and quality gates
  • Publishing and scheduling
  • Instagram post generation and publishing
  • Editorial audit history

Authentication identifies the user; CONTENT_ADMIN_EMAILS performs server-side authorization. Draft and administrative data must never be exposed through public routes.

See CONTENT_STUDIO_SETUP.md for the Supabase, OpenAI, Instagram and automation configuration.

Product principles

  • Deterministic transformations before AI explanations
  • No silent modification of important source values
  • Preview and approval before export
  • Explicit limitations instead of invented capabilities
  • No invented customers, testimonials, benchmarks or time-saved claims
  • Documentation remains available but is secondary to the customer product flow
  • Content Studio remains private and separate from customer Data Studio

Development

bun install
bun run dev

Production validation:

bun run lint
bun run build

This project is connected to Lovable. Preserve published Git history and keep the connected branch deployable.

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