Shann Holmberg Jev for SEO Workflow
这是 Shann³ 公开的项目资料。本站按原始来源展示项目信息，用中文说明适用场景和阅读边界；项目名、源帖与代码保持原样，便于逐项核对。
这条案例记录了什么
Agent 评估、工具选择
为已记录的输出或轨迹提供分类、分数或复核信号。
社区公开项目或作者演示
原始来源：Original post on X by @shannholmberg。作者自述，本站未独立复现。
Shann³
记录日期：2026-09-18。日期与身份应以原始资料为准。
怎样核对这个项目
- 先打开原始来源，确认作者、日期与 Jev 在项目中的具体用途。
- 如果提供仓库，再检查代码、运行要求和许可证；仓库存在不代表本站已经运行成功。
- 对速度、成本、准确率和规模数字，查看原文的任务、环境和计算口径。
- 是否有可观察的正确答案。
- 评估输入是否完整。
- 分数与人工复核的一致性。
- 工具列表和版本。
原始文字与技术细节
以下内容保留原语言，供核对事实。中文页的场景说明是阅读提示，不是逐句翻译或实测结论。
展开英文项目摘要与原帖
项目摘要
介绍 Jev 可用于 SEO 文章审核，并转述 TypeSafe 的速度和成本测试数据。
来源原文
the new jev model is insane.. it can check your AI's work and make decisions inside software for $0.042 per million input tokens, with free output here are the first things you should use jev for: 1. second brain 2. content workflow 3. post analysis 4. SEO article review typesafe reports up to 193.6× faster results and 444.6× lower costs than the LLMs in its workflow tests you give jev information and specific questions. it returns choices, scores or probabilities that your software uses to decide what happens next 1. second brain when a document, message or meeting note enters your second brain, give jev the content and your categories identify what it is, classify the topic and check for duplicates against existing notes your software checks required fields, saves the content with its source and verifies that it was saved correctly works well with the karpathy LLM wiki framework 2. content workflow give jev your draft, and then reference your anti slop rules and voice DNA file (which defines how you write) it will check for generic phrasing, repeated points and differences from your voice. use previous content and its results to estimate performance potential then send results to the writing agent for revision, compare the performance estimates with results after publishing 3. post analysis jev can compare a draft with previous posts and their results to estimate how well it could perform with your audience evaluate the hook, topic and format against defined criterias. and compare those scores with the performance after it goes live 4. SEO article review give jev your article / page draft, a target keyword and the articles currently ranking for that keyword (in the top 10 SERP) compare how well they answer the query, cover the topic and provide useful information. use that comparison to estimate your article's ranking potential then your LLMs can revise weak sections before publishing, and compare the estimate with actual rankings so many more usecases, we will see many new upgrades to previous concepts and workflows we´ve read about now
原记录的限制
- Implementation details are based on the author's public post on X.
- Performance figures and benchmarks are author-reported community claims.
- Production deployments may require custom calibration and policy thresholds.