Gleap
Users report bugs, request features, and submit feedback through Gleap. Your AI agent searches tickets, responds to active chats, identifies users, and routes issues to the right team, all without human intervention. Bug reports get triaged instantly and feedback reaches product teams in real time.
Across 29 Gleap operations, your AI agent manages tickets, chat messages, help center articles, team assignments, and user sessions, turning a feedback tool into an automated resolution engine.
Gleap
Explore real scenarios where AI transforms Gleap's feedback pipeline into an automated triage, response, and resolution system that keeps customers informed and teams focused.
A user submits a visual bug report through Gleap with a screenshot annotation. Your AI Agent receives the ticket, searches for similar existing reports to check for duplicates, links the new ticket to the original if found, and assigns it to the appropriate engineering team. When the user asks for updates, the agent retrieves the ticket status from Gleap instantly. Zero manual triage required.
A user messages 'How do I export my data?' through Gleap's chat widget. Before opening a ticket, your AI Agent browses help center collections, finds the matching article about data export, and sends the step-by-step instructions as a chat message. The user follows the guide and solves their own problem. One less ticket, one happy customer, one productive support agent who never had to intervene.
A power user sends detailed feature feedback through Gleap. Your AI Agent creates a ticket tagged as a feature request, tracks a 'feature_requested' event against their user profile, and routes the ticket to the product team by assigning it to the correct Gleap team. The product manager sees prioritized feedback with full user context, including usage history and account value, without reading through a shared inbox.
Gleap
FAQs
The agent uses Gleap's Search for Tickets endpoint, querying by keyword, ticket type, or user identifier. It can also retrieve all tickets and filter by the session associated with the current user. When a match is found, the agent returns the ticket status, description, and any linked tickets.
Yes. When the agent identifies a duplicate through search, it calls the Link a Ticket endpoint to connect the new report to the original. This keeps your ticket queue clean without manual deduplication. If the link is incorrect later, the Unlink endpoint reverses the connection.
Tars requires two credentials: your Gleap API Token (found in project settings under API token) and your Gleap Project ID. These authenticate all API requests. You can rotate the API token at any time from your Gleap dashboard to maintain security.
No. Tars queries Gleap's API in real time during conversations. Ticket details, chat messages, user profiles, and session data are fetched live and used only for the current interaction. Session replays and screenshot annotations remain stored exclusively on Gleap's infrastructure.
Yes. The Create a New Chat Message endpoint allows the agent to send replies within an active Gleap chat session. It can respond as an admin role, providing troubleshooting guidance, status updates, or help center article links directly inside the widget your users already see.
Gleap's Kai bot operates within the Gleap widget using GPT-4. Tars AI Agent operates across all your channels including website, WhatsApp, and Slack, and connects to 600+ other tools. It can create Gleap tickets, search help articles, identify users, track events, and manage teams, going beyond chat into full operational automation.
Yes. The Create a New Team endpoint lets the agent set up teams with specific members and ticket assignment methods (like random distribution). It can also list all teams and route tickets to the appropriate group based on issue type or customer segment detected during the conversation.
Archived tickets are still accessible through the API. The agent can retrieve the archived ticket details and inform the user of its resolved status. If the issue recurs, the agent can unarchive the ticket using the Unarchive endpoint, reopening it for further investigation.
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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