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Product · Marketing & Creative

ValueQue

Turning technology into value.

Modules
6
Stack
4
  • Marketing Site
  • Embedded Payload CMS
  • Conversational Inquiry Flow
  • Grounded Chat Assistant
  • Fabrication Filter
  • WebGL Hero
  • Next.js
  • Payload CMS
  • PostgreSQL
  • Docker
Modules: Marketing Site, Embedded Payload CMS, Conversational Inquiry Flow, Grounded Chat Assistant, Fabrication Filter, WebGL Hero. Stack: Next.js, Payload CMS, PostgreSQL, Docker.

ValueQue is the marketing site, content platform and inquiry system for ValueQue Middle East Consulting, an AI, software, data and infrastructure consultancy. One Next.js application carries a server-rendered marketing site with a WebGL hero that degrades to static SVG, a Payload CMS on PostgreSQL embedded in the same app, and the inquiry and chat APIs behind it. The inquiry experience is not a form: a five-question conversation opens as an overlay from any call to action, keeps a draft in session storage, and survives a server error without losing an answer or claiming a human has been contacted when one has not. The chat assistant cannot fabricate: a deterministic output filter sits between the model and the visitor and blocks any response that invents a client, a metric, a certification, a partnership, a headcount or an award, enforcing in code what the system prompt only asks for.

  • Five-question inquiry overlay replaces a traditional contact form
  • Draft survives server errors, never falsely claims human contact
  • Deterministic output filter blocks fabricated claims from the chat assistant
  • WebGL hero degrades to static SVG without WebGL support
  • Payload 3 CMS on PostgreSQL embedded in the same Next.js app
  • Idempotent seeding on first boot

Shaped around your problem.