The coordination layer for teams where people and agents work side by side.
Joined February 2017
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Deep Work Plan keeps coding agents from drifting on long tasks. The plan lives in your repo, so an agent can run for hours, resume after a reset, and you can verify what it actually did.
Free + MIT. Your feedback helps 👇
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In 2012, a Harvard study found that watched workers hid how they worked. In 2025, 13 experiments found the same paradox with AI, disclose it, and trust drops. Get caught, and it's worse.
What about now, in 2026?
In 2011, researchers found that the best thing that can happen in a workday is making progress. In 2025, developers using AI felt 20% faster and were actually 19% slower. What happens to progress when you can't trust the feeling?
Still scheduling meetings manually?
Tell Dailybot when and with whom to meet, right from your chat or terminal. 📅
Less back-and-forth. More time to get things done.
Your calendar is packed. Your standup reminder doesn’t have to make it worse.
Aligns check-ins with your Google Calendar, helping your team share updates without interrupting meetings or focus time.
Less interruption. Better timing. 📅
Back-to-back meetings leave little room to actually get work done.
With Google Calendar context, Dailybot can help identify overloaded days and adapt check-ins to protect focus time.
Because being busy isn’t the same as making progress. 🧠
Too many forms, check-ins, and automations to keep track of?
Use Labels in Dailybot to organize everything by team or domain, for example: Engineering, Sales, People, Ops, and more.
Less searching, more organizing. 🏷️
Feedback shouldn't disappear in a conversation.
Collect it, keep it visible, and turn what people say into something you can act on
"How’s it going?” shouldn't require five Slack messages.
Get clear status updates without chasing people for them.
Everyone has a plan, but not everyone can see it.
Bring your priorities together in one place and make coordinating the week easier.
Good ideas shouldn't get lost in the scroll.
Capture them when they happen and give your team a place to act on them.
A blocker is only useful when the team knows about it.
Surface what's getting in the way before it slows everyone down.
AI agents are moving from “cool demos” to actual teammates.
Nvidia is now building safety rails for agents at the hardware level. That says a lot about where work is going: more agents, more autonomy, more need for clear reporting. At Dailybot, we think the future standup includes humans + agents
