The context layer for the agentic AI era
Your AI shouldn’t need to know everything about you.
It should know exactly what matters.
MIRROR connects the context scattered across your AI tools and intelligently gives each one the information it needs, while keeping everything else under your control.
The fragmentation
“Remember that I prefer minimal interfaces.”
“Tell me about your design preferences.”
“What are you currently building?”
“What architecture are you using?”
Context switching is becoming the new copy-paste.
Your AI tools are becoming more capable. Your context is still fragmented.
The core loop
Watch context become useful.
MIRROR reads the request, selects only what matters, and prepares a context pack for the AI you choose.
User request
“Help me redesign my portfolio homepage.”
Intent detected
Relevant projects
Preferences
Target audience
Previous decision
Context prepared for Claude
Prototype simulationIncluded
Excluded
- ×Personal information
- ×Financial information
- ×Unrelated projects
- ×Outdated preferences
Privacy boundary
Context is useful. Privacy is non-negotiable.
Every AI request passes through a boundary you control. Blocked categories are never composed into a context pack.
This AI requested context
- Project information
- Design preferences
- Professional goals
- Personal information
- Financial information
- Private conversations
- Old memories
3 categories blocked for this AI. Changes apply immediately to the next context pack.
Context conflict
When a new request contradicts what MIRROR already knows.
Previous preference
“I want my portfolio to feel minimal and quiet.”
Current request
“Make my portfolio extremely maximalist and loud.”
⚠ Possible context conflict
Previous
Minimal / restrained
Current
Maximal / expressive
Is this a new direction?
Memory timeline
Everything MIRROR knows is visible, editable and reversible.
Preference updated
Primary freelance audience: UK + Australia
Decision recorded
Avoid generic AI aesthetics.
Project context
Safara positioned as premium SaaS.