AI-AssistedProjectHub
Overview
As a freelancer juggling multiple projects, clients, and ideas, I found most productivity tools too rigid for creative workflows, especially when thinking starts messy and nonlinear.
This project began as a personal tool, but evolved into a full-stack AI-assisted project management platform designed to bridge the gap between chaotic idea generation and structured execution.

TheProblem
Traditional tools assume clarity before planning.
But creative and technical work often starts as:
- Long voice notes
- Half-formed ideas
- Disorganised bullet lists
- Rapid context switching
For ADHD-style workflows in particular, the friction between “thinking” and “structuring” can slow everything down.
I wanted a system that felt fast, forgiving, and flexible — but still powerful enough to manage real client work.
TheApproach
I built a custom stack:
- Next.js frontend for speed and flexibility
- FastAPI backend for structured data handling
- MySQL database for persistent project state
- AI integration via the OpenAI API
The system supports both checklist and kanban views, allowing projects to shift between linear and visual planning modes.
Each project also includes a structured Context Pack, storing:
- Goals
- Constraints
- Definitions
- Decisions
- Project-specific language
This context is passed into AI prompts to improve task generation accuracy.
WhatIBuilt

1. AI “Brain Dump” Processing
Users can paste messy notes into the system.
The AI:
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Extracts actionable tasks
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Breaks them into subtasks
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Assigns priority hints
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Structures them for board or checklist view
This turns cognitive overload into momentum.

2. Context-Aware Task Generation
Unlike generic AI tools, this system feeds project-specific context into prompts, allowing task generation to remain aligned with goals and constraints.
This reduces hallucination and increases practical usefulness.

3. Client Collaboration
Projects can be shared with clients, allowing them to:
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Add feedback tasks
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Leave structured comments
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Contribute without disrupting workflow

4. Lightweight Freelance Operations
The system also includes tools for managing clients and project billing workflows, keeping operational tasks alongside creative work in one unified environment.
WhyItmatters
This project demonstrates:
- Full-stack architecture
- AI-assisted workflow design
- Prompt engineering with structured context
- Real-world product thinking
- A focus on usability over novelty
It’s a practical example of how AI can support human cognition — not replace it — by turning unstructured thought into executable plans.
AI-Assisted Project Hub
A full-stack productivity platform combining Next.js and FastAPI, designed to turn unstructured “brain dumps” into structured project plans using AI-assisted task generation.


