完整作品展
技术栈
20 projects
Workser: 构建、部署AI应用和自动化业务工作流的平台。
@khemmapich · X
itself in the early days focus on help small business to run their business on ai agents with vibe coding, workflow automation, and ai employees.
为AI代理和人类提供自动更新的文档平台。
@papervine_io · X
学习工作方式的AI助手，将任务分配给30多个前沿模型。
@otakuaakash · X
构建和改进 AI 提示词以获得更好的模型响应。
markquis91 · HN
Prompting Refinement Tool [requesting testing]
定义一次团队信息，让所有 AI 工具同步访问和更新。
@nav_ux · X
BaseThread here. We're building the shared context layer so a team's AI tools, Claude, ChatGPT, Cursor, all read and write the same thing instead of starting cold every session.
用多个模型实时审计AI回应以判断其可靠性。
u/inc_23 · Reddit
Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon
