
Deck | Design and Deploy Computer Use Agents
设计和部署AI代理来自动化跨应用任务,无需调用API。
@gabebenchimol · X
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设计和部署AI代理来自动化跨应用任务,无需调用API。
@gabebenchimol · X

通过单个预付账户为AI代理提供100多个API访问。
interface1860 · HN
TaskFuel – agents discover and pay per call for 100 APIs

通过分层工具和目标安全地测试和改进AI代理。
btables · HN
Cadenya – An Agent Runtime

为技术文档创建 AI 助手,立即回答用户问题。
@emilsnotes · X
Our customers using Claude Code move faster than we can ship features. So we stopped fighting it and leaned in. Here's why it's paying off: 👇️ Some context: powers AI agents that answer millions of technical questions per month. Those conversations are a goldmine - they tell you exactly what users struggle with and where your docs fall short. We've built a lot of analytics on top of this (Coverage Gaps, Top Questions, and more), and teams love them. But here's the honest truth: no dashboard covers every edge case for every company. Meanwhile, our sharpest customers were already exporting kapa data and throwing their coding agents at it in ways we never designed for. So instead of chasing every workflow with a UI, we took the best practices we've seen actually work and packaged them as Kapa Skills - installable in Claude Code, Cursor, or Codex: 1/ Analyze Coverage Gaps: your agent works through the topics kapa couldn't answer and writes the missing content straig

AI代理雇佣人类完成真实任务的市场,支持MCP和API集成。
@rentahumanx · X