I built Tasquery to solve the "Documentation Tax" - that tedious 20-minute refactoring of messy Slack threads and meeting notes into structured Jira tickets after the actual work is done.
The Approach:
I initially over-engineered the settings, but early feedback was clear: devs just want to get back to coding. I pivoted to a "Zero-Friction" flow. No signup, no onboarding, no sliders. You paste the chaos, you get a structured draft.
Technical Details:
It uses gpt-4o-mini with enforced JSON mode for strict technical structure. I recently added "Magic Actions" - one-click buttons to refine the draft (adding edge cases or QA steps) without manual prompting.
The Latency Trade-off:
Full disclosure: The API takes about 15-20 seconds. I’m currently prioritizing deep context analysis over raw speed. I'm looking into streaming the response next to improve the perceived performance.
Privacy:
Stateless by design. No data is stored; everything is processed in-memory.
I’d love to get your thoughts on the UX and the quality of the generated tickets.
The Approach: I initially over-engineered the settings, but early feedback was clear: devs just want to get back to coding. I pivoted to a "Zero-Friction" flow. No signup, no onboarding, no sliders. You paste the chaos, you get a structured draft.
Technical Details: It uses gpt-4o-mini with enforced JSON mode for strict technical structure. I recently added "Magic Actions" - one-click buttons to refine the draft (adding edge cases or QA steps) without manual prompting.
The Latency Trade-off: Full disclosure: The API takes about 15-20 seconds. I’m currently prioritizing deep context analysis over raw speed. I'm looking into streaming the response next to improve the perceived performance.
Privacy: Stateless by design. No data is stored; everything is processed in-memory.
I’d love to get your thoughts on the UX and the quality of the generated tickets.
App: https://tasquery.com