Beat connects to the tools you already use, finds what needs you, and drafts the next step. You approve, and it's done.
Today: PR reviews, ticket questions and meeting follow-ups across Jira, GitHub, Slack and your notetaker.
AI made everyone faster at producing work: more code, more AI reviews, more AI tickets, more AI meeting notes. None of it moves until a person notices it's their turn.
We saw it on our own team first. Before a PR review even started, the median wait was a couple of hours and could be days. Some review requests were never answered at all. Meetings ended with action items that sat in the notes. Everyone kept fifty tabs open to remember what they were waiting on.
None of that work is hard. It's a lot of small things waiting for someone to have time or remember. So we built Beat to start each one the moment it's possible and put it in one queue, ready for your approval.
The real product: Beat drafts a PR review, you run it, and it posts to GitHub with a Slack note to the author.
| Workflow | When it runs | What Beat drafts | Connects to |
|---|---|---|---|
| PR review | A pull request opens for your review | Review findings and inline comments, plus a Slack message to the PR author | GitHub, Slack |
| Meeting to action | A meeting ends and the notes land | New Jira tickets with board and assignee, comments on tickets that already exist, and Slack follow-ups | Granola or Google Meet, Jira, Slack |
| Ticket to open questions | A ticket is assigned to you | If it's ready, nothing. If it isn't, a comment asking the author the questions that would let you start | Jira |
Approved items land where your team already works: a review on GitHub, a ticket or comment in Jira, a message in Slack. Beat doesn't write or commit code. Your coding assistant already does that well.
Short, unedited screen recordings by the engineers who build Beat, on real PRs, tickets and meetings from our own team.
The author ran Cursor BugBot twice and it found no issues. Beat found a real bug. After the fix, BugBot passed it twice more and Beat found a second issue in the same loop, so the author swept the whole function. This is why our engineering team cancelled its BugBot subscription.
watch on LoomGitHub Copilot and Cursor BugBot both caught real issues, and Copilot was faster on one round. Then both called the PR clean while two bugs remained. Beat found them, including one the author had marked as fixed in a comment when it wasn't.
watch on LoomNo more copying action items from Granola into Jira and Slack. Beat creates the ticket on the right board with the right assignee, and when the item was already ticketed, it drafts a comment on the existing ticket instead.
watch on LoomBeat reads every ticket assigned to you. If it has enough to start, you do nothing. If it doesn't, the clarifying questions are already drafted to the author, instead of three days of back and forth.
watch on LoomPersonal agents are powerful, and we use them every day. They're built for one person. Beat is sign in, connect, done, the same for everyone on the team, always on and kept on the latest models by us. Use them together: Beat picks up the work, your agent writes the content.
watch on LoomConnect GitHub and you can see exactly what Beat accesses. We don't store your code, ever. It's received transiently to do the review and then dropped. We're not in the business of selling data or taking your IP.
watch on LoomIf you've built your own agent setup, you know what it took: prompts, scripts, connectors, skills files and glue. It works beautifully, for you. Now hand it to the person next to you. It doesn't transfer, because it lives in your head and your config.
| Your own agent setup | Beat | |
|---|---|---|
| Setup | Each person builds and wires their own | Sign in, connect your accounts, done |
| Starting the work | You ask: "go find this ticket" | Always on. It starts when the ticket, PR or meeting lands |
| Your teammates | Have to rebuild it themselves | Sign in and get exactly what everyone else runs |
| Keeping current | You notice the new model weeks later | We re-test on real tickets and PRs and swap models for you |
| Record | Whatever you logged | Every approval leaves a receipt |
| Write access | Often broad tokens acting on their own | Nothing posts in your name until you approve |
Better together: Beat picks up the work and gathers the requirements; your personal agent can take it from there and write the content.
Keep your tools. We use most of them too. Each one does a piece of this well; Beat is the one queue across all of it that starts on the event and waits for your approval.
| You use | Great for | What Beat adds |
|---|---|---|
| Cursor BugBot, GitHub Copilot review | Automated comments on a diff | On our own PRs Beat found bugs both of them passed, it reads the existing bot and human comments and re-checks them against the current code, and the developer reviews the review before anything posts. We replaced BugBot with Beat. |
| Claude, ChatGPT, Cursor | Answering when you know what to ask and bring the context | Beat starts before you ask. When a ticket is assigned, a PR opens or a meeting ends, the context is already pulled and the next step drafted. |
| Atlassian's agents in Jira | AI inside Jira | One person's whole day across Jira, GitHub, Slack and meeting notes, in one queue ordered by what's due. |
| Your meeting notes tool's tickets | Tickets from a single meeting | Checks whether the ticket already exists and comments instead of duplicating, and sits in the same queue as your reviews and ticket questions. |
| Jira automation, Zapier | Moving data when a condition is met | Reads the content (a ticket's gaps, a PR's changes, a meeting's decisions) and drafts the part that needs judgment. |
cat SECURITY.md # Are you taking my source code? No. Code is received transiently to do the review, then dropped. We don't store it, sell it or train on it.
Beat is built by CXAI (Nasdaq: CXAI), which builds and runs AI and workplace platforms for some of the largest enterprises in the world. Sign-in is with Google today; enterprise SSO is a candidate for a later release.
Reviews ready the minute a PR opens. Questions on vague tickets already drafted. One queue instead of four tabs of notifications.
Meetings that turn into tickets and follow-ups on their own, with replies to your questions surfacing the moment they arrive.
Useful for one person from day one. It compounds when the whole team is on it: what you approve lands in the next person's queue.
Where one missed message costs a full day. Three back and forths shouldn't take three days.
The beta is open, and it's free. Paid plans start January 1, 2027. In return we ask for honest feedback in a short weekly check-in, and you'll see what we build from it.
1 join the beta ~30 seconds 2 we confirm your access by email 3 sign in with Google, connect GitHub, Jira, Slack, Granola or Google Meet a few minutes 4 your first drafts appear as work lands on you
The Beat beta is open. Join with your name and email, and we'll email you as soon as your access is ready.
We'll email when your access is ready. In the meantime, the videos above show Beat on real work.
Free during the beta. Already approved? Sign in at gobeat.ai. By joining you agree to the privacy policy.
A personal execution system for software delivery teams. It connects to Jira, GitHub, Slack and your meeting notes, notices when work is ready to move, and drafts the next step for you to approve.
Today: engineers, PMs and engineering leads on teams that run on Jira, GitHub, Slack and a notetaker such as Granola or Google Meet. Over time: everyone involved in delivering software, and roles beyond it.
Three workflows: PR review, meeting to action, and ticket to open questions. See how it works.
No. It's personal, so you get value on your own. It compounds when the team uses it: anything you've moved on lands straight in someone else's queue, so you only worry about yours.
By how long work sits before anyone acts on it: ticket assigned to questions asked, PR opened to review posted, meeting ended to tickets created and follow-up sent. Beat drafts each one the moment it's possible, so the only delay left is your approval. It can't make people reply faster, but the ask goes out right away.
Keep using them; we do. A general assistant is great when you know what to ask and you bring the context. Beat starts before you ask: when a ticket is assigned, a PR opens or a meeting ends, it pulls the context and drafts the next step in your queue.
"Claude connects to Jira and Slack now." It does, and you can get parts of this by prompting. The difference is that Beat runs on the event, so nobody has to remember to ask or re-explain the context, and every workflow lands in one queue.
You can, and if you have, you know it took weeks of prompts, connectors and glue that work for you and don't transfer to the person next to you. Beat works in minutes, the same way for everyone on the team, and we handle maintenance and model updates.
Keep them if you like them. On our own PRs, Beat found bugs that Cursor BugBot and GitHub Copilot passed (see videos 01 and 02), so we replaced BugBot with Beat. Beat also reads other bots' comments, re-checks them against the current code, and drops the ones that are already fixed. And it isn't only a review bot: reviews sit in the same queue as your tickets and meeting follow-ups.
If you want AI inside Jira, Atlassian's agents are a natural fit. Beat is built around one person's day across Jira, GitHub, Slack and notes: one queue of drafted next steps, ordered by what's due.
If that's all you need, it may be enough. Beat checks for existing tickets and comments on them instead of duplicating, sends the Slack follow-ups, and keeps all of it in one queue with your reviews and ticket questions.
Automation rules move data when a condition is met. Beat reads the content, like a ticket's open questions, a PR's changes or a meeting's decisions, and drafts the part that needs judgment.
No. Every draft waits in your queue, where you approve it, edit it or dismiss it. Nothing posts to Slack, GitHub or Jira until you approve.
In the Beat web app at gobeat.ai, your home base for the day. Approved items land where your team already works.
Because the work spans several tools. Beat gives you one queue for all of it, instead of a bot in each tool.
Only the tools for the workflows you want. Connecting all of them takes a few minutes. Your workspace admin approves Beat once per tool.
Not today. Beat only posts the Slack messages you approve. Reading Slack threads for action items and context is on the roadmap.
Beat ships with default settings in the beta. Custom rules aren't in this version.
No. CXAI hosts Beat.
The best available for quality and cost, using different models (large language models and classifiers) for different tasks. We're model agnostic: when models change, we re-run our quality checks on real tickets and PRs and switch if it's better.
No, never. Code is received transiently for the review and then discarded.
No.
Yes, in transit and at rest.
To review pull requests. Beat reads the PR so it can prepare findings for the reviewer.
No.
Not yet. You sign in with Google. Enterprise SSO is a candidate for a later release.
Penetration and load testing are part of our launch gate.
It uses large language models and classifier models. The product is everything around them: knowing when to act, gathering context across your tools to draft the response, and the queue where you edit and approve.
You edit it or dismiss it. Nothing reaches Slack, GitHub or Jira without your approval, so a bad draft costs you a few seconds, not a bad message to a colleague.
No. Beat drafts; people decide. It gets the work started sooner, and the judgment stays with you.
Free during the beta. Paid plans start January 1, 2027, and we'll share pricing with beta users before then.
Join the beta with your name and email. We'll email you as soon as your access is ready. Beta sign-in uses a Google account, so if your email isn't one, we'll help you set one up. Then sign in with Google and connect the tools for the workflows you want. Your first drafts appear as work lands on you.
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