Inbound
Screen unknown calls
Ask unknown callers who they are and why they are calling, then apply your contact and mode rules.
Possible result
Transfer, approval request, structured message, or decline
Use cases
LineSquire is designed for ordinary personal phone work: one caller, one approved task, and one clear result. It always identifies itself as an AI assistant.
Everyday outcomes
Every workflow has an explicit boundary. Inbound screening is the private-beta focus; outbound workflows require enhanced verification, a visible plan, and a fresh approval.
Inbound
Ask unknown callers who they are and why they are calling, then apply your contact and mode rules.
Possible result
Transfer, approval request, structured message, or decline
Outbound
Prepare a one-to-one call for an approved personal task with visible facts, questions, and limits.
Possible result
Confirmed result, unresolved items, and next step
Time back
Navigate a permitted phone tree, wait through the queue, and bring you in when a person is ready.
Possible result
Queue progress, transfer, or callback reference
Scheduling
Collect, book, move, or cancel appointment options within the dates, fees, and limits you approve.
Possible result
Confirmed time or a short list of options
Coordination
Keep authorized household and caregiver calls organized without blurring who granted permission.
Possible result
Clear authority, message, and follow-up owner
Text-first control
Use transcripts, predictable plans, and written approvals when a live voice call creates a barrier.
Possible result
Readable call progress and a durable receipt
Designed around permission
The assistant says that it is AI and that it is calling for you. It can collect information and act within an approved rule, but it cannot become you, clone your voice, or turn a personal task into repeated outreach.
The bounded demo uses a short scenario and does not call a third party.