Software and growth systems for small teams
Improve an AI-generated app interface
The short answer
Improve an AI-generated interface by reviewing the actual user task, information hierarchy and interaction states, then implementing a consistent visual system. Replacing gradients or changing a font alone will not fix an unclear workflow. The goal is a product that feels deliberate and works with real content, errors, narrow screens and keyboard input.
Your application has all the expected cards and buttons, but it still looks interchangeable and feels awkward to use. I refine existing interfaces around the business, its users and the action each screen needs to support. AI can help implement the changes; the work still needs specific direction, iteration and visual verification.
An agreed first improvement milestone starts from £1,200. Further work is scoped separately after reviewing the existing application.
What the finished solution should accomplish
Refine an AI-generated interface with clearer hierarchy, brand-specific components and complete interaction states, verified against real content and devices.
What this could look like in practice
A client dashboard might give every metric the same visual weight while hiding the one overdue action a customer needs to take. Improving it could mean a clear next step, fewer competing panels and a document list with honest progress and failure states. Decorative changes can support that hierarchy, but cannot substitute for deciding what matters to the user.
Decisions to make before building
Review representative screens and agree visual references before changing components. Define spacing, type, colour, responsive behaviour and reusable patterns. Inventory empty, loading, error, success, disabled and long-content states. Work through one complete journey before applying the system widely so a polished screen does not conceal an inconsistent flow.
When a simpler option is enough
If the existing design system is coherent, targeted fixes may be enough. A prototype being used only for research may benefit more from clearer labels than a full visual pass. An interface is not poor quality simply because AI helped create it; assess observable issues such as hierarchy, contrast, inconsistent spacing and misleading status messages.
An initial scope could include
- Journey and interface review with agreed visual references
- Refined components and the missing interaction states
- Desktop, mobile and keyboard verification of the scoped flow
How we would check the work
- Try long names, empty lists and realistic error messages
- Complete the journey on a narrow screen and with the keyboard
- Check loading and success states reflect actual system progress
Can you improve the UI without rebuilding the backend?
Often, yes. A focused interface pass can preserve working APIs and data models. Some usability problems expose missing backend behaviour, such as no reliable upload status or invalid permission checks. Those dependencies should be identified before promising that every change is visual only.
Scope, ownership and working together
You work directly with Joel from discovery through implementation. We agree the outcome, exclusions and acceptance checks before a build. You receive access to the code, deployment and handover documentation. Hosting, third-party services and ongoing support are identified separately; owning the code does not make operating costs disappear.
An agreed first improvement milestone starts from £1,200. Further work is scoped separately after reviewing the existing application. Permissions, migration, source-system access and the number of workflows affect scope. Hosting, maintenance and further milestones are agreed separately. Smaller extensions to existing infrastructure can receive a smaller quote.
MathersLabs · Updated
Related next steps
Have a problem worth solving?
Tell me what you want to change, what is blocking it and the budget you have in mind. We can establish fit and agree the next step by email.
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