
Fibery
Customers ask about project status, deliverables, and timelines. Your AI agent queries Fibery entities in real time, surfaces the exact information needed, and keeps conversations moving without pulling your team away from deep work.




Your AI agent taps directly into Fibery's flexible databases, retrieving tasks, features, and project details the moment a customer or stakeholder asks.
Fibery
See how teams using Fibery let their AI agent field questions about tasks, timelines, and deliverables while they focus on building.
A client messages asking about the progress on their feature build. Your AI Agent queries Fibery for all entities in their project space, filters by active status, and returns a breakdown of completed, in-progress, and upcoming tasks with estimated dates. The client gets a real-time status report. Your product team skips yet another status call.
An end user reports that the checkout page is broken. Your AI Agent gathers the details during the conversation, creates a Fibery entity under the Bug type with severity, reproduction steps, and the user's browser info, then assigns it to the engineering team. The bug enters your sprint board immediately. No one copies and pastes from a chat window.
A prospect on your website says they need bulk CSV import support before signing up. Your AI Agent creates a Feature Request entity in Fibery with the prospect's company name, the requested capability, and a priority tag. Product discovery starts with real customer demand already documented, not secondhand recollections from a sales call.

Fibery
FAQs
The agent uses Fibery's Commands API to query entities by type, such as Project/Task or Product/Feature. It sends a structured request specifying the fields to return and any filters like status or assignee. Results come back in real time so the agent can summarize them conversationally for the customer.
Yes. The agent uses Fibery's entity creation endpoint with a fully qualified type name like YourSpace/YourType. Any database you have configured in Fibery is accessible, including custom fields, relations, and rich text descriptions. Your workspace structure is fully respected.
You provide your Fibery workspace subdomain and a personal API token. Generate the token from your Fibery settings under API Tokens. The token scopes determine what the agent can read or write. You can revoke access at any time from your Fibery workspace settings.
No. The agent queries your Fibery workspace live during each conversation. Entity details, task statuses, and file references are fetched in real time and used only to respond to the active conversation. Tars does not maintain a separate database of your workspace data.
Yes. When updating or creating entities, the agent passes relation fields as objects with fibery/id keys, which Fibery resolves into proper bi-directional links. If you assign a task to a user or connect a bug to a feature, both sides of the relation update correctly.
Fibery automations trigger on internal workspace events like field changes or due dates. Tars AI Agents handle external conversations with customers and stakeholders, turning those interactions into Fibery entities or queries. They work together: the agent creates the entity, and your Fibery automation handles what happens next.
The agent handles this gracefully. If the queried type returns no results or the type name is not found, the agent lets the customer know it could not locate the information and offers to connect them with a team member or suggests alternative queries.
Yes. The agent can execute GraphQL queries against your Fibery workspace, which supports cross-space joins and nested data retrieval. This means it can pull a feature from Product Discovery and its linked tasks from Engineering in a single request.
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.