Todoist
Your AI agent creates, updates, and completes Todoist tasks during live customer and team interactions. Projects get organized, sections get structured, labels get applied, and deadlines get set without anyone opening the Todoist app. From customer requests to internal follow-ups, every action item lands in the right project with the right priority automatically.
Your AI agent handles the full Todoist workflow during conversations. Tasks get created, projects get organized, and progress gets tracked without switching apps.
Todoist
See how product, support, and operations teams use AI agents with Todoist to turn conversations into organized, trackable action items automatically.
A customer describes a missing feature during a support conversation. Your AI Agent creates a Todoist task in the Product Backlog project, sets priority to P2, adds the customer's use case as a comment, and labels it feature-request. The product manager sees the categorized request in their filtered view without any manual ticket creation.
During a planning call, the team lead describes five deliverables for the next sprint. Your AI Agent creates a new Todoist section called Sprint 12, generates tasks for each deliverable with due dates, and assigns priorities. The engineering team opens Todoist to find their sprint board already structured and ready.
A sales rep finishes a demo call and needs to follow up in three days. They tell the AI agent, which creates a Todoist task with a due date three days out, labels it follow-up and the prospect's company name, and adds the call summary as a comment. The rep never forgets a follow-up again.
Todoist
FAQs
The agent calls Todoist's Create Task endpoint with parameters including content (task title), description, project_id, section_id, priority (1-4), due_string or due_date, and labels. The task appears instantly in the specified project. Optional parameters like assignee_id enable delegation within shared projects.
Yes. The agent creates projects via the Create Project endpoint and sections via Create Section. Tasks can be placed into specific sections within projects, giving you a fully structured task board built entirely through conversation.
Tars uses OAuth 2.0 with the data:read_write scope. You authorize through a one-click OAuth flow that grants access to tasks, projects, labels, and comments. No API tokens to manage manually. You can revoke access from your Todoist integrations page anytime.
No. The agent creates, reads, and updates tasks through Todoist's API during live conversations. Task data lives in your Todoist account. Tars does not cache or persist your task information between sessions.
Yes. The Create Task and Update Task endpoints accept priority (1 for urgent through 4 for normal) and due_string (natural language like 'next Monday') or due_date (ISO format). The agent sets these based on conversation context.
The agent creates labels via the Create Label endpoint and applies them to tasks during creation or updates. It can also retrieve all personal labels, rename shared labels across the workspace, or remove label instances from multiple tasks at once.
Manual entry requires opening Todoist, navigating to the right project, filling in fields, and saving. Through Tars, tasks get created with full context during the conversation that generates them. Action items never fall through the cracks between the discussion and the to-do list.
Yes. The agent fetches all tasks with filter support, retrieves project details, lists collaborators, and pulls comments. It can also access backup archives for historical data. This lets you build conversation-driven status reports without opening the Todoist dashboard.
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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