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XNLAB homepage running locally with its commercial offer and diagnostic action visible

Independent build · Working prototype · MMXXVI

XNLAB Public System

All Lab X projects

User problem

The studio's editorial identity could attract attention while still leaving a qualified visitor uncertain about the offer, the evidence and the accountable operator.

Audience

Experience-led businesses evaluating a Business Leak Diagnostic, and product or technology leaders inspecting how XNLAB makes and ships decisions.

Product hypothesis

If offer, evidence and responsibility become inspectable without flattening the identity, the same site can support commercial conversion and serious product evaluation.

Product decisions

  • One commercial entry point
  • Private commercial confirmation
  • Explicit evidence states
  • Founder accountability without an invented biography

UX decisions

  • Primary diagnostic action before methodology
  • Secondary evidence path
  • Short contact form
  • No disabled proof links
  • Reduced-motion and keyboard paths retained

Technical architecture

Next.js 16 App Router with strict TypeScript, typed local content, server-side lead intake, CSP nonces, bilingual client state and Vercel as the deployment target.

AI integration

AI is used as a directed engineering and production crew. No autonomous AI runtime or user-facing model is part of this public system.

What Pablo is responsible for

Pablo García Frade set the product brief, directs the design and holds final launch accountability. Implementation is being produced in this repository with AI-assisted engineering under that direction.

Current deliverables
  • Working local application
  • Typed commercial and evidence models
  • Fail-closed intake endpoints
  • Automated release gates
  • Launch documentation

Evidence availability

Repository
Not public. Internal research data must be separated before the source can be linked safely.
Measured outcomes
None claimed. A conversion baseline has not yet been established.
Intended outcomes
Faster offer comprehension · More qualified diagnostic enquiries · Inspectable product and engineering judgment · A maintainable launch system
Limitations
No conversion baseline has been measured Scope and commercial terms are confirmed privately External form delivery depends on deployment secrets The repository cannot be linked publicly until internal research data is separated

Next experiment

Establish a privacy-safe funnel baseline in preview, then test whether evidence order improves qualified diagnostic starts without increasing form abandonment.

Inspect the current system