Pular para o conteúdo principal
Tables in Timely.ai are dynamic data structures that allow your Agents to store, access, and manage information in real time.
They act as lightweight, AI-friendly databases that Agents can read from and write to — supporting structured workflows such as contact registration, lead tracking, unresolved inquiries, and feedback collection. A Table can be fully managed inside the Builder interface, with tools for creating, editing, and linking it to one or more Agents.

​
🧩 Core Concepts

​
💡 Why Tables Matter

Tables extend your Agents’ memory and logic capabilities by providing:
  1. Persistent storage — Agents can log user interactions or unresolved questions.
  2. Structured intelligence — Data can be filtered, queried, and reasoned upon.
  3. Collaboration — Shared datasets can be used across multiple Agents or Squads.
  4. Automation — Tables integrate seamlessly with workflows, triggers, and tools.
Example use cases:
  • “Unanswered Questions” log for training or review.
  • “Contacts” table for lead management.
  • “Feedbacks” table for quality tracking.