AI UNDERDOGSDAILY PICK
AI UNDERDOGS
AI 员工住进了 Slack
Your AI team lives in Slack
Guildly
别人做 AI agent 在卷模型
这群人在卷办公室——把 AI 当员工用 org chart 管起来
Everyone else is racing model quality — these
folks built an office. Your AI agents are
employees now, managed on an org chart
真正的痛点不是模型
The real pain isn't the model
跑多个 agent 的真正痛点不是模型质量
是你得在终端、标签页
提示词之间反复横跳
上下文在每次跳转时蒸发掉
Guildly 给你一个 Slack 式工作区
所有 agent 住在同一个地方
分工明确——Marketing 投放活动
Software 合并 PR
Designer 出 mockup
各有各的活
The real bottleneck in multi-agent workflows isn't model
quality — it's juggling terminals, tabs, and prompts
while context evaporates between each hop. Guildly puts
every agent in one Slack-like workspace with real
roles: Marketing launches campaigns, Software merges PRs, Designer
ships mockups
★ SIGNAL 1
员工,不是聊天机器人
Employees, not chatbots
作者说得很直白:「A Slack-like interface to run a company of AI employees」——agent 不是聊天窗口
是员工
每个 agent 有岗位、有具体交付物
这个心智模型一换
你就不会只想让 AI 回答问题
而是想让它 own 一整块工作
The author said it directly: 'A Slack-like interface
to run a company of AI employees.' Agents
aren't chatbots — they're employees with roles and
deliverables. That reframe changes what you think AI
can actually own
★ SIGNAL 2
上下文会传给下游
Context chains downstream
Sprint 规划 → 规格审批 → PR 合并 → Mockup 产出——这不是 5 个 agent 各跑各的
是上游输出喂给下游
大多数多 agent 工具做不到这点
因为隔离上下文是默认行为
Guildly 的共享上下文让 pipeline 真正串起来
一个人也能跑完整条链路
Sprint planned, spec approved, PR merged, mockups ready
— that's not five agents running in parallel
It's a pipeline where upstream output feeds downstream
Most multi-agent tools default to isolated context. Guildly's
shared context actually chains the whole flow
这东西是桌面端应用,不是浏览器插件
也不是 API wrapper——作者自己就是 solo founder
做出来的工具也是给 solo founder 用的
他觉得 AI 不该只是回答问题的聊天框
应该是能接管整个工作流的团队
It's a desktop app, not a browser extension
or API wrapper. The author is a solo
founder who built this for other solo founders
His take: AI shouldn't just answer questions —
it should run entire workflows like a real
team
AI UNDERDOGS
给你的 AI 团队建个 org chart
Build an org chart for your AI team
Guildly
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