Private Project

MojAI — AI-Native Development Platform

AI-Native Multi-Project Development Workspace

Private AI-Native PlatformWeb Application, Backend System, REST API, AI-Integrated Platform, Private Project

Overview

MojAI is a private AI-native workspace designed to organize projects, conversations and AI-assisted software workflows.

Problem

AI-assisted development can become fragmented when projects, conversations, settings and implementation context are spread across separate tools.

Implemented solution

The platform centralizes project creation, conversation management, protected dashboards and AI chat routing in a session-aware web application.

Key features

User registration

Session-aware dashboard

Project creation and management

Conversation management

Chat interface

Project settings

Protected routes

Authentication and session validation

Project CRUD

Ownership validation

Database persistence

AI chat routing

Target users / audience

AI-native software builders

Private project operators

Teams or individuals organizing multiple AI-assisted software workflows

Business value

Reduced fragmented workflows

Centralized data and operations

Safer role and ownership separation

Structured product foundation for continued product evolution

My role

Product analysis and requirements definition.

Architecture planning and AI-agent tasking.

Implementation supervision across frontend, backend, database and platform-specific surfaces.

Debugging, test planning, acceptance review, deployment preparation and iterative improvement.

AI-native development workflow

01
Requirements are converted into structured implementation tasks.
02
Codex and AI tools are used for code generation, investigation and refactoring.
03
Major tasks follow a READ → BACKUP → PATCH → VERIFY → TEST discipline.
04
Human review controls architecture, acceptance, security decisions and release readiness.
05
AI is used as an engineering accelerator, not as a substitute for validation.

Technical overview

Built around Next.js, TypeScript, React, Node.js, PostgreSQL, Prisma and REST APIs.

Message persistence and conversation workflows are treated as part of the product architecture and validation scope.

Key engineering challenges

Shared hosting could not reliably build Next.js because of worker/process limits, so a local-build and deployment workflow was used.

Testing and verification

Protected route behavior and session validation are part of the verification scope.

Product positioning

The implementation includes the capabilities presented in this case study and is designed for continued product evolution.

Media gallery

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MojAI authenticated project workspace dashboard

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Registration screen inferred from filename

Video demos

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Available for

Employment, custom software, software products and technical partnerships

Available for employment opportunities, remote international roles, custom software development, early product development, internal business systems, Python and SQL reporting solutions, Android and desktop development, product licensing, technical partnerships and individuals with viable product ideas.

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