Case Study

APIPT

Building the web interface for an AI engine that translates natural language into precise GraphQL, REST, and SQL queries. A technical founder building advanced Developer Tools for the AI era.

Industry

Developer Tools / Artificial Intelligence

Service Type

Web Application Development, UI/UX Design

Core Tech

Next.js, React, Figma

The Challenge

APIPT started as a sophisticated backend capable of complex tasks: Vector Schema Analysis, Retrieval Augmented Generation (RAG), and intelligent query caching. The core engine could successfully interpret natural language and map it to compliant API structures.

However, this powerful engine needed a user-friendly control center. The challenge was to abstract the technical complexity behind a seamless, intuitive web interface. The platform needed to cater to a diverse audience—from developers integrating SDKs to non-technical admin users needing plain-English data access—without compromising the technical depth of the product.

The Goal

The primary objective was to design and engineer a high-performance web platform that would:

1

Visualize the Invisible

Clearly demonstrate the "Magic" of converting text to code.

2

Ensure Scalability

Build a frontend architecture ready to handle complex user flows and potential future integrations.

3

Accelerate Launch

Deliver a polished, functional product ready for handover and immediate user adoption.

The Solution

Hubql Labs partnered with the founder to architect the frontend experience from the ground up, moving from high-fidelity prototypes in Figma to a production-ready Next.js application.

Architecture & Approach

We utilized Next.js for its server-side rendering capabilities and robust routing, ensuring the application remained performant and SEO-friendly. The architecture was designed to be modular, allowing for easy functionality extension—such as adding new API protocol support—in the future.

UX/UI Design for Developer Tools

We focused on a clean, "no-fluff" aesthetic typical of high-end developer tools. The interface was designed to reduce cognitive load, guiding users through the process:

Input

A simplified natural language interface.

Process

Visual indicators for schema vectorization and RAG context retrieval.

Output

clearly formatted, syntax-highlighted API calls.

Technologies & Tools

Frontend Framework

Next.js (React)

Design & Prototyping

Figma

Language

TypeScript

The Result

The successful collaboration led to the launch of apipt.dev, a platform that effectively bridges the gap between APIs and natural language, making technical complexity accessible to users.

Seamless Handover

The codebase is structured for ease of maintenance, allowing for immediate ownership and continued feature development without accumulating technical debt.

Verified Utility

The platform successfully bridges the gap for distinct use cases, enabling Chatbots, Search Interfaces, and Admin Tools to leverage natural language for data queries.

Operational

The site is live, serving as the face of an advanced AI query engine.

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