Dailybot

@Dailybot

The coordination layer for teams where people and agents work side by side.

dailybot.com

Joined February 2017

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Dailybot
@Dailybot
Jun 17
We're live on @ProductHunt today 🚀 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 👇
Deep Work Plan: Models matter. Context matters more. Give your agent a plan. | Product Hunt
From producthunt.com
Dailybot
@Dailybot
Aug 28
"New project, same ritual" means someone rebuilds the check-in by hand. Our CLI can help you (and your agents) set participants, questions, and schedule from the terminal. You'll know it worked when the team gets the first check-in ask in chat. Reuse a good setup and onboarding
Dailybot
@Dailybot
Aug 26
Approvals shouldn't require opening another tool when the decision is simple. Our CLI is now very handy for this. Your agents can attach approve/reject buttons with a callback. If someone clicks in chat, your system gets the result, and the work continues. Good for release
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Dailybot
@Dailybot
Aug 19
Once the template is decent, the hard part is making the practice stick. Name the gap you're fixing, or the ritual feels like homework. Run it as a three-week experiment, then adjust. Leaders should model the updates, protect focus time, and keep every blocker from turning the
Dailybot
@Dailybot
Aug 17
One word in the invite changes how people show up. "What's your status on X?" puts people on defense. "How's X progressing, and what support do you need?" makes it safer to name the messy part, including the blocker they'd otherwise sand down. If you want people to say what's