Stacks / 8 workflow stages
Ship a Polished AI Web App
Go from visual direction to components, AI interaction, implementation, accessibility, and browser QA.
Best for
Teams building an AI product where the interface has to feel production-grade, not like a generic chatbot demo.
Outcome
A responsive AI web experience with a coherent visual system, reusable components, model interaction, and release-level QA.
Not for
Back-end-only AI services or internal automations with little user-interface surface area.
Use this as a decision framework, not a mandatory shopping list. Swap or skip layers based on your existing stack, constraints, and risk profile.
1. Establish visual direction
Refero
Start from real product references so the design has a concrete interaction and visual direction before implementation.
AlternativesThe Component Gallery, 21st.dev
3. Add purposeful interaction
Magic UI
Use motion and visual effects selectively where they improve hierarchy, feedback, or product feel.
AlternativesMotion Primitives, React Bits
5. Add AI interaction
Vercel AI SDK
Use a purpose-built application layer for streaming model responses and common AI UI patterns.
AlternativesAI Elements
6. Check usability
Nielsen Norman: 10 Usability Heuristics
Review the interface against durable usability principles before polishing only the aesthetics.
AlternativesLaws of UX
7. Check accessibility
WCAG 2.2 Quick Reference
Catch contrast, keyboard, semantic, and interaction problems before release.
AlternativesThe A11Y Project
8. Test real flows
Playwright
Verify the experience in a real browser across the user journeys that matter.
AlternativesChrome DevTools Plugin
Need this workflow built and running, not just linked? EE Solutions implements agentic stacks like this one. EE Solutions is a senior technology team for private capital firms and their portfolio companies.
Talk to EE Solutions ↗