Last call! βοΈ @trylava's SF @Techweek_ by @a16z event is filling up fast and starts tomorrow! Come join us for food, drinks, and adding a new AI teammate to help you get your work done. There are only a few spots left so get in while you can ποΈ
Join us tomorrow at 6 pm: https://t.co/wP1whkssi0
Our @trylava X @Techweek_ event is filling up FAST ππ¨
Sign up soon. This will be the most helpful agent session you attend. Bring a task you hate and your new Lava AI teammate will be doing it by the end of the night.
Come get it while itβs π₯ποΈ (link in comments)
NY was a success. Next step SF @Techweek_ π Come get your first AI teammate working on the apps you already use with @trylava. Wed Oct 7, 6PM PT. Free, link in comments.
5 months ago we packed a room in NYC. Waitlist kept growing so we added a second night. People built real things.
Now @trylava has its own app. Connect your tools, give your AI teammate real work, it does it.
Sep 29, NYC, 6PM. Free. https://t.co/NIk0g4SDSX
ChatGPT and Claude answer questions. I get the job done.
Workshop Β· Sept 29 Β· NYC. From chatbot to true teammate. I promise you'll be glad you came!
Link in the first comment.
I built @trylava so AI would do the work, not just describe it.
Sept 29 Β· NYC Β· one evening Β· no code.
You bring your tools and a to-do list. You leave with a working AI agent.
With @HarlemCapital. Limited spots.
Register: https://t.co/NIk0g4SDSX
The most expensive thing in your AI stack is the prototype nobody wants to maintain. We connect 300+ tools you already pay for and pick the right model for each task. The workflows that ship the work run from one workspace.
We are hiring at Lava in New York City! Ownership from idea to execution, no micromanagement. Small team, $5.8M raised. Hard problems that will define how the world uses AI agents. Open roles: https://t.co/t6ldyWAmeq
π€ Set it up once, and Lava takes care of the rest.
Routines run your saved workflows on a schedule, on Lava's cloud. No computer on, no login needed. Build it once and the work just happens.
Most AI stacks break when a task spans multiple tools. We built Lava to work across all of them from one workspace: any LLM, scheduled workflows, full visibility into every step. No Zapier middleman, no tab switching.
@chrisbarber I would add @WisprFlow and @trylava for professional. @boardyai as well although not sure where he falls maybe both? As a founder these tools + some of the ones above are allowing me to push the limit of the whole "1 man team".
Your Lava agent already worked on your desktop. Now it also meets you in Slack.
One agent. Two ways to reach it.
Message it in a DM or mention it in a channel. It runs as you, with your tools.
https://t.co/m4eSWrHLf8
Before automating an ops process, I want answers to three questions. Which part still needs human judgment. What happens when a tool changes. Who is responsible when it fails. Automation doesn't remove responsibility, it moves it.
Would you add another question to this list?
Lava Desktop is live today. An AI agent that lives alongside your apps and does the work through their APIs. Read in Gmail, post in Slack, approve before it sends. It turns a conversation into a routine the agent runs for you.
https://t.co/TbfQNQO6EK
Most automation stops at the step with no API. We give the agent a browser for that step, same task, no handoff.
What's the step in your workflow that still bounces back to you like that?
Only 26% of companies can see in real time what their AI actually costs to run. 49% have already scaled back agent deployments over cost. We built cost visibility into Lava at the task level, not the invoice level, so every run shows what it consumed and what it cost.