
DeskTime
Managers and team leads constantly ask who is working on what, how many hours were logged, and which projects need attention. Your AI agent connects to DeskTime and retrieves time tracking data, project assignments, and employee activity in real time, turning status meetings into instant chat replies.




Your AI agent taps into DeskTime's tracking data so managers get employee hours, project progress, and app usage reports without leaving the conversation.
DeskTime
Real scenarios where AI replaces manual DeskTime lookups, giving managers and employees productivity answers through natural conversation.
A remote team lead messages the agent asking for yesterday's team summary. The AI Agent retrieves every employee's tracked hours, productive time ratio, and last active timestamp from DeskTime. The lead gets a formatted summary in 10 seconds. No 15-minute standup required. The team focuses on work instead of reporting what they already did.
A client asks how many hours were spent on their project this month. The team lead asks the AI Agent, which queries DeskTime for project-level time entries across all employees and dates. The agent returns total hours, per-person breakdowns, and task-level detail. Billable hours verified instantly without exporting spreadsheets or cross-referencing timesheets.
A field technician messages the agent on WhatsApp saying they are starting the HVAC installation project. The AI Agent calls DeskTime's start tracking endpoint with the project name and task. When the technician finishes, they message the agent again and the timer stops. No app switching, no forgetting to clock in. Accurate time logs without manual effort.

DeskTime
FAQs
The agent retrieves tracked work hours, productive and unproductive time percentages, arrival and departure times, active project assignments, application usage logs, and task-level breakdowns. All data is fetched live from DeskTime's API based on the employee ID and date you specify.
Yes. The agent can call DeskTime's start and stop project tracking endpoints. An employee can message the agent with a project name and optional task, and the agent begins or ends the time entry in DeskTime. This is especially useful for mobile or field workers who cannot easily access the desktop app.
Tars authenticates using your DeskTime API key. You find this key in your DeskTime account settings. Paste it into the Tars tool configuration and the connection is established. The key is encrypted and stored securely. You can regenerate it anytime to revoke access.
No. Tars queries DeskTime in real time when someone asks a question. Employee hours, app usage, and project data are fetched live and used only for the current conversation response. No productivity data is cached or stored in the Tars system.
Yes. The DeskTime API supports date-based queries with day or month granularity. You can ask the agent for data on a specific date like 2025-09-15 or request a monthly summary. The agent passes the appropriate date parameter to DeskTime and returns the corresponding records.
DeskTime's reports require logging into the dashboard and navigating through menus. With Tars, a manager can ask a question in Slack or WhatsApp and get formatted productivity data in seconds. It also lets non-admin employees query their own time data without needing dashboard access.
Yes. The agent calls DeskTime's project creation endpoint with a project name and optional initial task. This is useful when a team lead wants to set up tracking for a new initiative directly from a conversation without switching to the DeskTime interface.
The agent uses DeskTime's ping endpoint to verify API availability. If the service is temporarily down, the agent informs the user that DeskTime is not responding and suggests trying again shortly. No incomplete or stale data is returned.
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