Compact Data Science

Hızlı denemeler için tam istediğim şey. Freelancer ve küçük ekiplere öneririm.

Daha iyi prompt yazınca çıktı kalitesi net yükseldi. Kullanışlı buldum.

What surprised me about Compact Data Science is how little friction there is once you set preferences. I keep a short checklist: audience, tone, must-include points, and forbidden phrases. With that, outputs are consistently usable. Without it, results feel generic. I also like that I can iterate quickly instead of restarting from a blank page. Missing features for me: better version history and clearer export options. Even so, it has replaced a couple of scattered tools in my stack. Rating reflects practical value in my week, not hype from the landing page.

I have been using Compact Data Science for a few weeks on real client work, not just demos. The first week was mostly learning prompts and figuring out which templates stick. After that, drafting time dropped noticeably — especially for outlines, email replies, and first-pass summaries. It is not flawless: long documents sometimes lose structure, and I still fact-check anything important. Still, for a busy week it has become one of the tools I open without thinking. If you already have a clear workflow, Compact Data Science fits in cleanly. If you expect magic with zero editing, you will be disappointed. For me, the time saved on the boring middle steps is worth it.

Compact Data Science ile taslak ve özet çıkarıyorum. Karmaşık hissettirmeden sürtünmeyi azaltıyor.