FeelFish vs AI写论文-高质量论文生成：怎么选？

关于 FeelFish

Credits are used to measure token consumption by large models, and different models consume credits at very different rates. Using DeepSeek as an example, 100 million credits can produce roughly 100,000 words of novel content, while a model like GLM-5 may only produce around 20,000 words. Consumption is based on model providers' token pricing, so please choose a model that fits your needs. In addition, every request consumes credits, so the actual amount you can create also depends on your usage patterns—in essence, credits correspond to compute consumption.

Every writer's creation comes from learning from the outside world and their own thinking. Large models are the same, they also learn from outside, and what writers need to do is inject their own thinking and give soul to the content created by large models. So, as long as the story is your own, AI is just helping writers complete their work. What matters is the writer's unique perspective, emotional experience, and values. These humanistic connotations are irreplaceable by AI and are the true source of the work's soul.

Just like the relationship between Cursor and Claude in the programming world, FeelFish provides interaction and context management suitable for writers through in-depth research based on novel creation scenarios, allowing large models to better serve writers. FeelFish provides specialized chapter management, character profiles, plot line tracking, writing style memory and other functions, which are professional experiences that cannot be obtained by directly using general large models.

「AI写论文-高质量论文生成」是一款专为学术写作场景设计的AI工具，免费提供从大纲到全文的智能生成服务，主打低查重与低AIGC率，帮助用户高效完成原创论文。其核心功能包括：一键生成逻辑严密的论文大纲，支持用户自由调整结构；基于深度学习的低重复率内容生成，能有效降低查重风险；以及针对AIGC特征优化的文本输出，减少机器痕迹，提升自然度。这款工具适用于需要快速完成论文初稿的高校学生、面临时间压力的研究人员，以及缺乏写作经验的学术新手。使用场景覆盖课程论文、毕业论文、期刊文章等各类学术写作任务，用户只需输入主题，即可在数分钟内获得可落地的框架和内容，大幅节省从构思到成文的精力。