Overview
Starting from a research idea, you can complete literature review, experiment design and execution, data analysis, scientific plotting, paper writing, LaTeX editing, and submission prep in Textira. Textira aims not at one isolated "AI writes papers" step, but at stringing a full research pass: pose question → search literature → run experiments → analyze data → generate charts → write paper → revise → submit. Feature highlights 1. AI can truly join experiments In Textira, start from a research question and let AI help design the experiment plan, set variables and parameters, then run computational experiments and analysis. After experiments, data, results, and charts stay in the current Research for later analysis and paper writing—so research does not stop at "AI gave an experiment suggestion." 2. Literature review from the research question Around the current topic, Textira helps with literature search, reading, and organization so researchers understand related work, existing methods, and conclusions. Literature does not vanish after one Q&A—it continues to serve experiment design, result discussion, and the final paper.
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从一个研究想法开始，你可以在 Textira 中完成文献调研、实验设计与执行、数据分析、科研绘图、论文写作、LaTeX 编辑，一直推进到投稿准备。Textira 希望解决的不是单独某一个“AI 写论文”环节，而是把一次研究真正串起来：提出问题 → 查文献 → 做实验 → 分析数据 → 生成图表 → 写论文 → 修改 → 投稿。功能亮点1. AI 可以真正参与实验在 Textira 中，你可以直接从一个研究问题开始，让 AI 协助设计实验方案、确定变量和参数，并进一步执行计算实验和分析任务。实验完成后，产生的数据、结果和图表会继续留在当前 Research 中，可以直接用于后续分析和论文写作。因此，一次研究不需要停留在“AI 给了我一个实验建议”，而是可以继续往下做。2. 从研究问题开始做文献调研围绕当前课题，Textira 可以协助进行文献检索、阅读和整理，帮助研究者了解相关工作、已有方法和研究结论。这些文献并不是一次问答结束后就消失，而是可以继续服务于实验设计、结果讨论以及最终论文。