Search before you create — if the building is already active, open it or attach a new space and every building field auto-fills.
Select every rail line that serves this building.
Auto-drafts itself from the inputs above once Address + Cross Streets are filled — four sentences: the asset, the neighborhood, and any noteworthy news. Edit freely, regenerate anytime.
Drop photos that are relevant strictly to the building — exterior, lobby, elevators, amenity spaces. The AI reader auto-tags each photo from its file name (or vision scan) and sorts it into the right gallery section.
Scores auto-calculate from this card's data. If a number doesn't reflect reality — say the light deserves more credit — drag the slider to override it. Click the auto chip to snap back.
Drop photos of this space. The AI reader auto-tags each photo.
Upload the floorplan for this dedicated space — then use the crop tool to zoom in and cut out the noise around the edges.
Drop the company logo here — it fronts the Client Card and their SpaceBook.
AI vision tagging uses Claude. Paste an Anthropic API key to enable scanning of photos whose file names don't reveal what they show. Without a key, the filename reader still works.
Not linked.
Stored only in this browser. Photos are sent to the Claude API for classification when filename tagging can't identify them.
Define the client's requirements — every space gets a live "% Match" score against them.
Pull any edge or corner of the blue frame to crop in every dimension · drag inside the frame to move it · drag outside to pan · scroll to zoom. On apply, the crop is smart-upscaled and sharpened so zoomed plans stay crisp.
Books don't need a client — build prospecting, pipeline, or potential-lead books and attach a client later when it gets real.
Saved searches restore every filter, the keyword, and the client you're adding for — one click back to work.
Side-by-side on the spaces your client saved.