Project Context

What is Project Context?

Project Context is text you write (or paste) to give your AI assistant background knowledge about your domain. Think of it as "system instructions" — it's included in every conversation.

How It Works

Go to Settings → Project Context
Write or paste context about your project
The AI uses this in every chat to better understand your domain

Example:

Tech Stack:
- Frontend: Next.js 15, React 19, Tailwind CSS
- Backend: Supabase (PostgreSQL + Auth + Realtime)
- Hosting: Vercel (auto-deploy from GitHub)
- Monitoring: Sentry

Team:
- 4 engineers, 2 designers, 1 PM
- Sprint cadence: 2-week sprints
- Standup: daily at 9:30am

Key Decisions:
- Chose Supabase over Firebase (better SQL, row-level security)
- Using App Router (not Pages Router)
- Monorepo with Turborepo

When to Use It

Starting a new project — paste existing docs, wikis, or notes
Complex domains — explain jargon, acronyms, or conventions
Team context — who does what, reporting structure
Technical context — architecture, tech stack, deployment

During Onboarding

You can add Project Context during project creation (Step 2). If you provide it, UKAI will automatically extract initial entities and relationships into your knowledge graph before you even start chatting.

Tips

Be specific — "We use PostgreSQL 16" is better than "We use a database"
Include relationships — "Alice reports to Bob" gives the AI more to extract
Update it — as your project evolves, update the context in Settings
50,000 character limit — enough for comprehensive project documentation

How It Relates to Other Features

Feature	Role	Automatic?
Project Context	Seeds the AI's understanding	No — you write it
Knowledge Graph	Visual map of extracted knowledge	Yes — grows from chat
Domain Briefing	AI summary of your graph	Yes — generated on demand

Project Context is the seed. The Knowledge Graph grows from conversations. The Domain Briefing summarizes what's in the graph.