Transform a simple one liner into a fully structured, detailed task with context, requirements, and clarity ready for your team to execute instantly.
TARO reads your brief, sends it to GPT 4o mini at no cost to you, and returns four fully formed outputs ready to save all in one click.
Input
The brief can be as rough as a Slack message or as detailed as a paragraph it doesn't matter. A task title fragment, a sentence describing the problem, a user story, or a bug description all work equally well. TARO is designed to extract intent from natural language, not to require a specific format. The messier your input, the more impressive the output.
Generate
TARO sends your brief to GPT 4o mini and returns four distinct outputs simultaneously. This feature runs completely free no credits are deducted from your account, no matter how many times you use it. There is no limit on generations per day, per user, or per workspace.
Review
All four outputs appear together in a full task preview exactly how the task will look once saved to your board. The title, description, subtasks, and checklist are all editable before saving. Nothing is committed until you press save. You can also regenerate any individual section if you want a different take on the description or a different subtask breakdown.
Save
Every generated field is fully editable inline before saving. Click any section to edit it. If the subtask breakdown doesn't match your mental model, regenerate just that section the other three outputs stay unchanged. When the task looks right, press save. It lands in your board with all four sections populated, ready to assign and start.
Bad task descriptions are where sprints go wrong before they even start. TARO makes every task thorough, clear, and ready in seconds.
Unlike other AI features in TARO, Task Detail Generation runs on GPT 4o mini at zero cost. No credits deducted, no daily limit, no upgrade required. Every member of your team can use it as many times as they need.
TARO generates a structured description with background, objective, scope, and acceptance criteria rendered as rich HTML. The assignee opens the task and immediately knows what done looks like, without asking the reporter six clarifying questions.
TARO breaks the task into logical subtasks not arbitrary chunks, but implementation phases that reflect how a developer would actually approach the work. Each subtask is scoped to be owned and completed independently.
TARO generates checklist items covering the implementation work, the edge cases, the testing requirements, and the acceptance criteria. The items that typically appear in a code review comment "did you test on Safari?" are already in the checklist before work starts.
Nothing is locked after generation. Edit the title, rewrite a section of the description, swap out subtasks, add your own checklist items. TARO provides the first draft you decide what the final version says. Generation is the starting point, not the end state..
If the description is right but the subtasks don't match your approach, regenerate just the subtasks the description stays. If the checklist is missing something specific to your stack, regenerate it with a modified brief. Each of the four outputs can be regenerated without affecting the others.
Unlike other AI features in TARO, Task Detail Generation runs on GPT 4o mini at zero cost. No credits deducted, no daily limit, no upgrade required. Every member of your team can use it as many times as they need.
TARO generates a structured description with background, objective, scope, and acceptance criteria rendered as rich HTML. The assignee opens the task and immediately knows what done looks like, without asking the reporter six clarifying questions.
TARO breaks the task into logical subtasks not arbitrary chunks, but implementation phases that reflect how a developer would actually approach the work. Each subtask is scoped to be owned and completed independently.
TARO generates checklist items covering the implementation work, the edge cases, the testing requirements, and the acceptance criteria. The items that typically appear in a code review comment "did you test on Safari?" are already in the checklist before work starts.
Nothing is locked after generation. Edit the title, rewrite a section of the description, swap out subtasks, add your own checklist items. TARO provides the first draft you decide what the final version says. Generation is the starting point, not the end state..
If the description is right but the subtasks don't match your approach, regenerate just the subtasks the description stays. If the checklist is missing something specific to your stack, regenerate it with a modified brief. Each of the four outputs can be regenerated without affecting the others.
Completely free. No credit card. No usage limits. Powered by GPT 4o mini.
Engineers who write tasks quickly, PMs who need properly scoped work items, and teams where vague tasks reliably cause sprint derailments all use Task Detail Generation for the same reason.
800+
product teams, already using TARO
Credits consumed per generation
Outputs generated per brief
Tasks saved without edits
Faster than manual writing
Engineers notice issues while they're in the middle of other work. They don't want to stop and write a three paragraph task description but an under specified ticket causes delays later when no one can reproduce the bug or understand what "done" means. Task Detail Generation lets them capture the issue in a sentence and have TARO produce the full specification immediately, without breaking their flow.
Once tasks are properly specified, TARO's intelligence keeps them on track prioritising, distributing, predicting, and flagging across the full delivery lifecycle.
Type one sentence. TARO generates title, description, priority, due date, and assignee in under 3 seconds no forms, no clicks, no context switching.
Drop your entire backlog. TARO re orders every task with AI reasoning based on due dates, dependencies, and strategic impact. No backlog grooming meetings.
Scans for stalled workflows, velocity drops, and blocked dependencies surfacing exact action recommendations before risks become incidents.
Predicts your project's actual finish date accounting for velocity, blockers, and sprint history. Predicted date, variance, and confidence level before you commit.
Type one sentence. TARO generates title, description, priority, due date, and assignee in under 3 seconds no forms, no clicks, no context switching.
Drop your entire backlog. TARO re orders every task with AI reasoning based on due dates, dependencies, and strategic impact. No backlog grooming meetings.
Scans for stalled workflows, velocity drops, and blocked dependencies surfacing exact action recommendations before risks become incidents.
Predicts your project's actual finish date accounting for velocity, blockers, and sprint history. Predicted date, variance, and confidence level before you commit.
Common questions from engineers, PMs, and team leads evaluating TARO's task generation feature.
The generated description is structured as four sections rendered in rich HTML: a brief background paragraph explaining why this task exists and what problem it solves; an objective statement describing what the task needs to achieve; a scope section defining what is and isn't included in this task (out of scope items are explicitly called out to prevent scope creep); and an acceptance criteria section listing the specific conditions that must be true for the task to be considered complete. The HTML rendering means the description looks like a real, professional ticket from the moment it's saved not a plain text paragraph that an assignee has to parse.
Write one sentence. Get a complete, fully-specified task free, every time.