Skydive

Skydive has been best version of this I’ve personally used so far @getskydive @dhruvamin

Going to let my @getskydive agent help plan a trip to San Diego with my partner and I let’s see how it goes.

Worth trying @getskydive for this functionality - magical to see multiplayer agents collaborate across both me individually and our team. @dhruvamin can onboard you I’m sure

even with a lot of great agent frameworks out there I've been enjoying @getskydive . focusing just on the agent and not worrying about compute and deployment is nice

Guys I'm freaking out. @getskydive was featured in @NylonMag . https:// nylon.com/life/the-grind -was-never-the-point-meet-your-new-ai-coworkers …

Your agents can now text. To get started, head to your agent's profile page and click "add iMessage"

here is my new @getskydive agent he uses superhuman for me because I can't be bothered to learn the shortcuts he was hired based on merit and credentials

I connected a @getskydive agent to my @ManaBoxApp cloud data to help me stop buying so many cards and just build commander decks from the @WizardsMTG bulk I own. Urza is trained to review all current @edhrec meta and follow top deck builders to help #weaponizeyourbulk

man, Product Hunt launch days used to give me so much anxiety. sitting at a desk for 12 straight hours, stressing over every rank drop, and copy pasting numbers into slack instead of talking to real users is draining. seeing the @getskydive team build an agent to handle all that

Perfect question really, everyone should be cautious in this - I work from a place of minimal viable access, read only on sensitive data, humans required for key actions. I train constantly on this for support agents and define the blast radius of those carefully. This is also why we support and recommend multiple agents, our codebase agents are siloed from the public facing ones, but they can get input from each other by escalations through Slack or Intercom for example. Just like you asking for permission from a colleague for something deemed sensitive, the agent can follow a chain of custody if you set one. Biggest safety net: lanes of expertise. Agents that are taught on a strict responsibilities lane and told to, whenever going out of lane, they must obtain input/permission/guidance

Honors it - during an integration setup if 2FA is active the provider, say Gmail, enforces it just like you signing in yourself. If that permission is revoked, the workflow say, an inbox checking chron job will pause and the agent will alert the cause to you.

My newest @getskydive agent: Alfie Hook to @dubdotco to review all affiliate claims + internal logs Find fraud Remove fraud Pay real people Repeat on a schedule Ping me when you need me Alfie 🤙

HOLY SH*T I AM TESTING THIS IMMEDIATELY @Anything handed their Product Hunt login to their new @GetSkydive agent and it's already crushing the leaderboard 🫠

We gave a Skydive agent access to our Product Hunt account It's reading comments, watching the leaderboard, and pinging the team every time we move up Chat, can it crack top 3?

Fast Company just exposed our biggest secret half of Skydive's operations are run by employees who don't exist meet Emma, Otis, Clementine, Tilda and JB full story below

The most consequential moment in building an AI agent isn't the prompt. It's taking the leap from idea to action. @getskydive commits where the rest of the category hedges. All you need to do now is take the leap and dive straight in. Congratulations to @dhruvamin and

Hey r/ai_tools 👋 We're Zaria (head of marketing) and Dylan (support) from **Skydive**, which launched publicly this week. Skydive lets teams create AI coworkers where you describe the work you need done, and you get an agent with **its own computer and browser** that logs into the tools you already use and does the work the way a person would. You talk to it in Slack, email, or iMessage so no new dashboard. Agents can hand work to each other, and agents you build can be shared across your team. We're here for the honest version, not the launch-video version. Happy to go deep on: * What computer-use agents can reliably do today vs. what's still demo-ware * How agents handle logins, permissions, and security for real company tools * Multi-agent handoffs.. when they work, when they faceplant * Launching an AI product in 2026 when everyone claims "AI employees" (Zaria's world) * Production war stories — including the time an agent double-sent a message, deleted it, and then had no memory of doing either (Dylan's world) What we won't be useful on: model training / fine-tuning internals.. we're an application layer, not a lab. Proof: https://preview.redd.it/ewmpvk2x1klh1.jpg?width=

Hi Dylan and Zaria! Loving Skydive so far! what's something you learned from beta users that actually changed the product as it released?

Tomorrow I’m going to give a few agent platforms a try… Like @GetEnergy_ and @getskydive What platforms am I missing? What else should I try?