
Real-Time
Lynx stays with the present moment. What you open, pause on, switch to, and work on immediately becomes part of the scene. That real-time awareness keeps AI closer to what is happening now, and closer to the work itself.
Lynx does not wait for you to explain what is happening. It sees your screen, understands the task in front of you, and starts from there. No copying. No rebuilding context.

Lynx is not valuable because it sees more screenshots.
It is valuable because it sees a live workspace that is present, changing, and unfolding with the task.

Lynx stays with the present moment. What you open, pause on, switch to, and work on immediately becomes part of the scene. That real-time awareness keeps AI closer to what is happening now, and closer to the work itself.

Context is not a single frame. It is a workflow that keeps moving. Lynx continues sensing as you move, switch, and pause, so the scene stays connected. That gives AI a fuller picture, and one that is closer to how work actually unfolds.

Lynx organizes context around the task at hand. It brings together the interfaces, content, states, and actions that matter most right now. That makes seeing more valuable, and more directed.
Lynx is strong at capturing, retaining, retrieving, and replaying context.
Its real strength is turning context capture into live, usable awareness of the scene in front of you.
Archived context still matters.Lynx weights the live workspace because assistance starts with where you are and what's on deck right now.That keeps collaboration grounded in the present moment.

Lynx traces context along how work actually moves.It watches app hops, tab churn, and forward progress—not isolated beats.You get a workable picture of now, not just a searchable log.

Volume alone rarely improves answers.Lynx tightens situational awareness around the active task so models latch onto what matters sooner.That relevance is the sharper edge of vision.

Lynx sees through several signals working together. That is how AI understands where you are, what just happened, and what is most worth picking up next.
Lynx sees the information you are handling in front of you. Current pages, documents, spreadsheets, and messages become part of the scene.
The same pixels mean different things in Slack vs. email vs. a ticket. Lynx carries app, window, and workspace placement so captures match how you actually work.
Situational awareness includes what you are focused on, what is selected, and where work is paused. This makes context more specific.
Where you jumped, skimmed, paused, and circled back traces the arc of the task. Lynx keeps that thread so context reads as a flow, not a snapshot.
Voice input, focus, cursor position, and where your eyes linger combine into a strong hint about what you want to tackle next.
Better sensing beats dumping more data.
AI gets a sharper, fresher, task-aligned read on whatever you're doing.
Lynx captures context for the work you are doing right now. What it sees in the interface, the app, and the current state can flow directly into AI without being repackaged first. That makes the scene easier to use as it is.
App locationWindow focusNative signals
Your work moves constantly across browsers, documents, chats, email, spreadsheets, and notes. Lynx keeps sensing across those shifts and turns scattered content and actions into one continuous scene. The result is more complete context, and context that feels closer to how work really moves.
Cross-app movesSession threadingCoherent scene
Lynx focuses first on the pages, states, actions, and content most relevant to the task you are working on. What it captures is not a generic pile of information. It is a scene that can directly serve the task in front of you.
Task relevanceFocused captureUsable scene
