Yusuf Aiman
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Yusuf Aiman / 2026

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Full-Stack Developer · Software Engineer · Technology Entrepreneur

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Project / 04Web applicationsCompleted development

Kentra

An AI-powered digital workspace designed to bring productivity and project organisation into a unified application.

CategoryWeb applications
StatusCompleted development
Year2026
My roleProduct Developer
Project typeProgressive web application / AI workspace
Technology stack
Next.jsReactTypeScriptTailwind CSSSupabaseVercel
Kentra project banner

01 / Project overview

What was built and why it matters.

Kentra is a digital workspace direction for organising projects, files, activities, calendars, messages, notifications, and user profiles in one application.

The project is relevant as an exploration of how a productivity product can combine structured work management with AI-related experiences while keeping the workspace understandable.

Background

Digital work frequently involves fragmented information across project, file, calendar, and communication tools. Kentra was developed to explore a more connected workspace model.

The application format is documented as a progressive web application, making the product direction accessible through a web-based experience while retaining a product-like interaction model.

02 / Problem

The product need behind the work.

The documented problem space is kept close to the available project context.

Fragmented project context

Project information, files, activities, and communication can become separated across different tools.

Scattered daily work

Calendars, notifications, and messages are harder to manage when they are not connected to the work they describe.

Unclear workspace structure

A productivity product needs understandable boundaries for workspaces, projects, and user activity.

03 / Objectives

What the project set out to achieve.

  1. 01

    Create a connected workspace for organising digital work.

  2. 02

    Bring projects, files, activities, and schedules into a unified product direction.

  3. 03

    Explore AI-related experiences within a structured application.

  4. 04

    Deliver a responsive progressive web application format.

04 / Solution

A product direction shaped around the real workflow.

Kentra approaches the problem as a workspace product rather than a collection of isolated utilities. The documented scope groups projects, files, activities, calendars, messages, notifications, and profiles around the workspace model.

The AI aspect is kept intentionally broad because the available project record does not specify the underlying integrations or models. The case study therefore describes the product direction without inventing AI capabilities.

05 / Features and modules

The parts that make up the experience.

Requires verification

AI workspace

Provides the documented product direction for AI-related productivity experiences.

Documented scope

Workspaces and projects

Organises digital work around structured workspace and project contexts.

Documented scope

Files and activities

Brings project files and work activity into the documented workspace scope.

Requires verification

Calendar and messages

Documents scheduling and communication-related product areas.

Requires verification

Notifications

Provides a documented direction for keeping users aware of relevant activity.

Documented scope

User profiles

Represents the user identity layer within the application scope.

Scope labels describe the available project documentation; they are not claims that every feature is publicly deployed or production-ready.

06 / Technology stack

Tools chosen for the documented product direction.

Frontend

NENext.js

Web application framework for the progressive web application direction.

REReact

Component-based interface layer for the workspace experience.

TYTypeScript

Typed application development for structured product features.

TATailwind CSS

Interface styling direction for responsive workspace screens.

Backend

SUSupabase

Backend platform documented in the project technology context.

Deployment

VEVercel

Deployment platform documented for the web product direction.

07 / System architecture

How the documented system pieces relate.

The documented stack describes a Next.js and React progressive web application using TypeScript and Tailwind CSS, with Supabase and Vercel included in the project context.

Next.js + React PWA

Responsive workspace application layer.

Supabase

Documented backend and data platform.

Vercel

Documented web deployment platform.

The AI provider, model integrations, storage configuration, and messaging infrastructure are not specified in the available project information.

08 / My role and contributions

The work I personally contributed.

  • ↗

    Defined the product concept and application structure.

  • ↗

    Planned the workspace-oriented information architecture.

  • ↗

    Developed interfaces for the documented web application direction.

  • ↗

    Worked on the progressive web application experience and connected product surfaces.

09 / Development approach

From product context to working direction.

01

Frame the workspace

Start with the relationships between users, workspaces, projects, files, and activity.

02

Organise the product

Give daily work a clear home across project, calendar, message, and notification areas.

03

Build the PWA

Shape responsive interfaces around a web application that feels coherent across devices.

04

Keep AI grounded

Describe AI as a product direction until the underlying integrations are verified.

10 / Engineering insights

Considerations behind the implementation.

Where implementation incidents are not publicly documented, this section records grounded engineering considerations instead of inventing debugging stories.

Engineering consideration

AI needs a usable workspace around it

Challenge

AI-related experiences are difficult to use when the surrounding work context is unclear.

Approach

The documented product scope places AI-related experiences inside a broader workspace model with projects, files, activities, and profiles.

Solution

The workspace becomes the organising layer while the exact AI implementation remains explicitly unclaimed until verified.

Learning

Product structure and user context are as important as the intelligence feature itself.

11 / Project outcomes

What the development work resulted in.

  • 01

    A developed digital workspace application exploring connected productivity experiences.

  • 01

    A progressive web application direction covering workspaces, projects, files, activities, and user-related areas.

  • 01

    AI implementation details and individual feature readiness remain subject to verification.

12 / Project gallery

A place for verified product visuals.

ASSET PLACEHOLDERWorkspace screenshots will be added later

Workspace screenshots will be added later

Real product images can replace this placeholder after the relevant assets are approved.

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