Toggl
Your AI agent starts timers, logs hours, and manages Toggl projects during live interactions. Consultants track billable time without switching apps. Managers pull project reports through a quick message. Teams create clients, tag entries, and organize workspaces, all from the same conversation where the work happens.
Your AI agent interacts with Toggl Track's full API during conversations. Time entries, projects, clients, and tags get managed without opening the Toggl dashboard.
Toggl
See how agencies, consultancies, and distributed teams use AI agents with Toggl to track time accurately without interrupting their workflow.
A consultant joins a client strategy session. They message the AI agent with the project name. The agent creates a Toggl time entry with the correct project, client, and billable flag, and starts the timer. When the consultant says the call is done, the agent stops the entry. At month-end, every client call has an accurate time record without the consultant ever opening Toggl.
A project manager needs this week's hours across three active projects. They ask the AI agent, which fetches all time entries from Toggl for the current week, groups them by project and team member, and presents a breakdown. The PM gets an instant utilization snapshot without building a custom report in the Toggl dashboard.
An agency signs a new retainer client. The account manager tells the AI agent the client name, project names, and estimated hours. The agent creates the client in Toggl, sets up three projects with billable settings and hour estimates, and creates tags for the engagement phases. The entire workspace is configured before the kickoff call.
Toggl
FAQs
The agent calls Toggl's Create Time Entry endpoint with workspace_id, project_id, description, tags, billable status, and start time. To stop a running entry, it uses the Stop Time Entry endpoint. The agent can also create entries with both start and stop times for retroactive logging.
Yes. The agent retrieves all workspaces the authenticated user belongs to via the Get User Workspaces endpoint. You specify which workspace to operate in, and the agent scopes all project, client, and time entry operations to that workspace.
Tars uses your personal Toggl API token for authentication. Find it in your Toggl Track profile settings under API Token. Enter it in the Tars tool configuration. The token provides access to all workspaces associated with your account.
No. Time entries, projects, and client data are created and retrieved through Toggl's API during live conversations. Tars does not cache or store your Toggl data between sessions.
Yes. The Create Time Entry endpoint includes a billable boolean parameter. The agent sets this based on your instructions or project defaults. Projects can also be configured with a default billable status that applies to all entries within them.
The agent creates clients via the Create Client endpoint, then associates projects with clients using the client_id parameter during project creation. This links time entries to both the project and the client for accurate billing reports.
The Toggl app requires you to open it, find the right project, and click start. Through Tars, you mention the project in conversation and the agent handles the rest. Bulk operations like setting up multiple projects or pulling reports happen through a single message instead of multiple clicks.
Yes. The Get Current Time Entry endpoint returns the active running entry for the authenticated user, including project, description, duration, and tags. The agent uses this to check if a timer is already running before starting a new one.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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