TaskTuna

TaskTuna is an AI task generator tool. TicketGenius, the flagship Jira app from TaskTuna, writes formatted user stories from short descriptions, splits oversized stories into smaller pieces and attaches existing stories to the right epics, aimed at teams that want a leaner backlog grooming process.

TaskTuna is a small development studio building AI powered apps that plug into the marketplaces of established work platforms. Its flagship product is TicketGenius, an AI assistant for Jira projects that concentrates on the least enjoyable part of agile work: turning rough ideas into tickets a team can actually pick up. The studio describes its wider goal as reducing routine overhead so people can spend their hours on work that needs judgment. TicketGenius does three jobs. It generates formatted user stories from short descriptions, so a one line note becomes a structured ticket with the expected framing. It breaks existing stories into smaller chunks when a task is too large to estimate or finish in a single pass. And it links existing stories to the epics they belong to, keeping a backlog organized without manual drag and drop housekeeping. Those three moves target the setup work that tends to stall sprint planning. The natural audience is product owners, engineering leads and scrum masters who already run their backlog in Jira and want less copy and paste between a planning conversation and the ticket tracker. It suits teams that describe work in meetings and write tickets later. The value depends on how much of the workflow already lives in Jira, since TicketGenius is a Jira application rather than a standalone writing tool. Against general purpose writing assistants, TaskTuna is narrow by design. It does not draft documents, answer questions or handle marketing copy. It sits in the same territory as other agile AI add ons that summarize standups or predict sprint scope, but it stays on ticket construction and backlog structure instead of reporting. The roadmap points toward further platform integrations and AI analytics on task progress. Budget time for reviewing output, since generated stories still need a human to confirm acceptance criteria and estimates.