Getting Started with Grok Bot
01:00 What is @Bot?
05:26 Anatomy of a bot
08:49 3 ways to run
12:04 Multi-bot chains
16:06 Workflow 1: X followers to @Notion
20:29 Workflow 2: Personal software
23:08 Workflow 3: Coding with @cursor_ai
26:44 Workflow 4: Search
28:27 Recap
Grok Voice Think Fast 2.0 is now #1 on the Artificial Analysis Speech-to-Speech Index.
This index measures whether voice agents can reason over the speech it hears, resolve real customer issues, and correctly complete tasks using agent tools.
our cloud agent usage at decagon is up 6x over the past 3 months. cloud agents are quickly becoming the default way our team works because:
- they scale beyond a single laptop: each agent gets its own isolated sandbox (no worktrees) so there’s no local resource contention
- you can spawn swarms from anywhere (web, slack, linear): designers and PMs are shipping
- they can run for hours, spin up all services, and put up PRs with screenshots/videos
but if verification isn't trustworthy, you just multiply slop. the bottleneck isn’t model intelligence, it’s the environment setup and verification. to verify effectively, you need to:
- give it the same tools an engineer has locally (same stack, MCPs, context)
- create a framework (like @poteto's pstack) that encodes how the agent should create/test its changes and ship artifacts you can review without reconstructing the session
the horizon of work you can give agents is much longer - cloud agents can pretty much ship while you sleep. probably the highest leverage thing an eng team can invest in right now.
Origin, our code hosting platform, is now live.
It's fast, easy to use, and deeply integrated with Cursor.
Get started by syncing your repos from GitHub.
Introducing Grok Bot, now in early beta.
Bots are AI teammates that do real work for you. They sign in to your tools, use them just like you do, and come back with finished work.
Cursor Router keeps improving from millions of in-product user interactions each week.
We intelligently classify and route requests, lowering latency and reducing cost based on the task.
In December, 1 in 10 of our merged PRs came from cloud agents.
Today, it’s 56%, as we use cloud agents to complete longer engineering tasks from start to finish.
We got here by giving agents their own cloud computers and letting them fix and improve their environments.
We had a team of agents rebuild SQLite from its 835-page manual.
It created a replica in Rust which passed 100% of a held-out test suite.
Interestingly, cost varied 15x depending on which model mix we used.
Adding The Wild Robot to my watch list!
Who are you pulling for at the Oscars tonight?
I'm rooting for Anora and I'm Still Here https://t.co/S47uyznul4
To Seismic users everywhere - thanks for sharing your feedback – we couldn't do it without you! 🏆
Proud to lead our category on G2!
Check out the full list of winners, here ➡️ https://t.co/smAt0diwlX
Love the emphasis on coaching as a game-changer for sales performance! It's all about nurturing talent and fostering a culture of continuous improvement. https://t.co/4DdOdsUnV8