Independent product / Evolving product
WolfspaceAI: from an idea to a working full-stack product in 3 weeks.
A clear project workspace for agencies and small teams that want to manage daily work without complex setup, too many features, or AI in every action.
- Product
- WolfspaceAI
- Timeline
- 3 weeks
- Role
- Product strategy, UX/UI, frontend, backend, database and access architecture
- Stack
- Next.js 15, React 19, TypeScript, Supabase, PostgreSQL, Auth and RLS
A full tour of projects, tasks, team access, and the AI meeting-notes flow.

The starting point
Why build another project workspace?
There are already many project management tools. Most of them are powerful, but small teams can easily get lost in complex menus, long setup steps, and features they do not need.
I built WolfspaceAI as a calmer alternative: a clear and carefully designed workspace for projects, tasks, decisions, and team activity. AI is used only where it can save time, and users always review the result before anything is saved.
I started without a template or a reference product. I planned the page structure, main workflows, interface language, database, and development order from the ground up.
The product system
The dashboard and project workflow.
The dashboard shows active projects, open tasks, deadlines, pending reviews, and project health. It focuses on the work that needs attention instead of filling the screen with extra metrics.
Each project includes its status, health, dates, team members, tasks, and files. The light and dark themes keep the same clear structure.



Full-stack ownership
Design and database rules.
The product needs clear rules for workspace members, project owners, task assignments, files, plan limits, and account settings. PostgreSQL and Row Level Security protect data at the database level. Server checks are used for actions that need extra permissions.
I designed the interface and backend rules together. Access does not depend on hiding a button; it is checked by the system.


Review-first AI
Review-first AI for meeting notes.
The meeting-notes tool turns raw notes into an editable draft with a summary, decisions, risks, follow-up questions, and suggested tasks. Nothing is added to a project until a user reviews and confirms it.
This makes AI useful without giving it control over project data. The interface also shows the available usage before a draft is created.

Delivery
What I built in 3 weeks.
In 3 weeks, I built authentication, onboarding, project and task workflows, team access, file uploads, account settings, plan limits, light and dark themes, and the first AI workflow.
WolfspaceAI is still growing. The next step is not to add as many features as possible. I want to make daily work simpler, improve team handovers, and show risks and pending decisions more clearly.
The main workspace also works on smaller screens.
From idea to working product