Submit a recording URL, customer name, and bug type; the AI agent detects the bug moment with WayinVideo, writes a structured ticket via GPT-4o-mini, assigns ownership, and logs the ticket to Google Sheets.
The AI Agent ingests the recording URL and form data from a web form, uses WayinVideo to pinpoint the exact bug moment, and GPT-4o-mini to generate a structured ticket. It then assigns priority and a team, and logs the ticket as a new row in Google Sheets for QA and development teams. From form submission to a ready-to-work ticket, the process runs without manual video scrubbing.
Automates the core triage workflow from capture to action.
Ingests form data and the recording URL.
Sends the recording to WayinVideo to identify bug moments.
Polls WayinVideo in 45-second intervals until results are returned.
Generates a structured ticket with priority, steps to reproduce, and a fix suggestion.
Assigns ownership to the correct team based on severity.
Appends the ticket as a new row in Google Sheets.
Automates real bug triage from submission to a ready ticket, reducing manual review and misrouting. It locates exact moments in the video, writes complete tickets, and logs results in Sheets.
A simple 3-step flow that non-technical users can understand.
Support agents submit the recording URL, customer name, and bug type via a hosted web form; submitting starts the AI agent workflow.
WayinVideo analyzes the recording and returns bug moments with timestamps and relevance.
GPT-4o-mini creates a complete ticket and the system appends it to Google Sheets.
One realistic scenario.
Scenario: A support agent submits a 60-second recording showing a login error for Acme Corp. Customer Name: Acme Corp; Bug Type: Login Error; Recording URL is provided in the form. The AI agent identifies a bug moment at 0:28, assigns High priority, and outputs a ticket with steps to reproduce: 1) Open app, 2) Enter credentials, 3) Observe error; Expected: login succeeds; Actual: error. The ticket is saved to the Bug Tickets sheet with Status Open and Date Submitted.
Roles that gain from automated triage.
Submit bug reports via the form and receive ready-to-work tickets.
Review reproducible steps and test cases generated by the AI Agent.
Receive precise timestamps and reproduction steps for UI issues.
Access bug moments tied to API or service failures.
Understand deployment or environment-related bugs from the ticket data.
Gain visibility into bug trends and priorities without manual triage.
Tools used inside the AI agent workflow.
Detects exact bug moments and timestamps from recordings.
Generates the structured ticket content including priority and steps.
Logs each ticket as a new row with all metadata.
Starts the AI agent workflow when a bug report is submitted.
Practical scenarios where this AI agent shines.
Common questions and practical answers.
If WayinVideo can't process a recording, the workflow will retry at defined intervals and may escalate for manual review if configured. You can set a max retry counter to prevent runaway executions. In practice, unresolved videos trigger an alert to a human operator for fallback handling. The system can also be extended to skip non-supported formats automatically. This keeps the pipeline moving without creating orphaned tickets.
Yes. The Google Sheet structure and column headers can be customized to match your internal ticket schema. The AI agent can fill additional fields and map them to your PM tool as needed. You can also purge or rename metadata without changing the core ticket content. Any changes should be reflected in the sheet and the ticket generation logic.
Data handling follows standard security practices for integrated services. Access is controlled by OAuth and API keys with scoped permissions. The recorded media, customer details, and tickets are stored according to your provider configurations. You can apply additional encryption or audit requirements as needed. Ensure your credential management aligns with your security policy.
Yes. The workflow can include an HTTP request or native integration step to push the generated ticket content to Jira, Linear, or other PM tools. You can map fields like summary, description, priority, and assignee. This enables end-to-end traceability in your existing tooling. You can enable or disable this as part of customizations.
The form should enforce required fields and validate inputs before submission. If a field is missing, the workflow can return an error to the user and halt processing until corrected. Optional fallbacks can be defined to avoid blocking critical paths. Validation ensures tickets are generated with complete data.
Yes. The 45-second polling interval is configurable, and you can add a maximum retry limit to prevent infinite loops. You can also configure exponential backoff for timeouts. These controls help tailor performance to video length and processing speed while avoiding runaway executions.
WayinVideo supports multiple languages, and the AI agent can target a specific language when locating bug moments. You can set a target_lang parameter in the detection step. If the video is in an unsupported language, the system can fallback to a default approach or escalate for manual review. This keeps the workflow robust across regions and teams.
Submit a recording URL, customer name, and bug type; the AI agent detects the bug moment with WayinVideo, writes a structured ticket via GPT-4o-mini, assigns ownership, and logs the ticket to Google Sheets.
