Skippr AI - The live AI employee inside your product, serving every user
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Real-time agents that see, talk, and operate software. They onboard, activate, and unblock your users. On their own. Skippr agents keep agenda and memory across full sessions, speak 10 languages, and act on screen with built-in browser automation. Fully self-serve: spin up an agent in minutes, embed with 2 lines of code, or share a meeting link. Trained on your knowledge, styled to your brand. 200 free credits to start, no card required. Talk to me for the deeper enterprise version.
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Scarlett.
Excited to see Skipper launch today! Congrats on the launch @sagi_shorrer1
I had the chance to try Skipper a few weeks ago! It was amazing how intuitive the whole experience felt. It doesn’t behave like a scripted chatbot or a traditional product tour. It actually understands what’s happening inside the product, sees the interface, talks to the user, and can take action in real time.
It feels much closer to having your best product specialist embedded directly into the experience! Ready to onboard, guide, train, and support every user.
Skippr AI
You mentioned it takes two lines of code to embed—how much setup or context feeding is typically needed before the agent can navigate complex custom workflows independently?
Skippr AI
@rhythm_arora69 Great question. It works out of the box — no setup, no training needed. But in self-service you can upload your KB and transcripts, and build agendas or instructions to make it as accurate as you want for your use case. In enterprise we have way more levers — our team can help (or you can do it yourself with our guidance) to pre-scan and map your complex workflows so the agent handles them reliably from day one.
Congrats!
Skippr AI
@new_user___1802026258df93399c32311 Our view: the user stays in the product, the agent works alongside them — not a chatbot replacing the UI. Users prefer doing it themselves with live guidance when the task is one they'll repeat (onboarding, learning a workflow — they keep the muscle memory). They prefer the agent acting when it's one-off, tedious, or config-heavy — things they'll never do twice, where learning has no value. The approval step keeps them in control either way. So the boundary isn't capability, it's whether the task is worth learning.
Congrats on the launch, Sagi. In-product help that acts instead of pointing at docs is the right direction. We spent months getting new users to their first success moment faster (in our case, a clinician producing their first note in under ten minutes), and most of that friction lives inside the product, not in the marketing. One angle I have not seen in the thread yet: the agent sees the user's screen. For products handling sensitive data (health records in our world), can you mask fields or exclude zones from its vision, and where does that vision stream get processed?
Work in any language ? French and arabic?
Skippr AI
@otman_alami Great question! We currently support 10 languages including French — English, Spanish, German, Hindi, Russian, Portuguese, Japanese, Italian, and Dutch round out the list. Arabic isn't live yet, but the list is growing and we are working to add it!
The live see-talk-act loop is the hard version of this, and the part I'd want to hear about is what happens when an action doesn't land. Browser-driving agents break the moment the UI shifts under them: a modal pops, an A/B test moves the button, so the agent clicks and the page isn't in the state it assumed. Does Skippr verify the effect of each action before moving on, and how do you keep that vision-plus-action loop inside conversational latency so the voice side doesn't feel laggy?
an agent that can act on screen with real browser automation is a bigger trust leap than a chatbot. if it clicks the wrong button in a live user session, who catches that before the user does - is there a confidence threshold where it hands back to a human instead of just acting?
Skippr AI
@omri_ben_shoham1 Totally agree it's a bigger trust leap, that's why acting is opt-in and layered. Before the agent executes, it shows a plan the user approves; every action is visible on screen and interruptible mid-action (one click/keystroke stops it). Clients define zones where the agent never acts: payments, destructive settings - it explains and hands off instead. And when it's not confident it doesn't guess: it defaults from acting to guiding (highlighting, walking the user through), and escalates hard cases to a human with full session context. The user is never the last line of defense, they're the approval step before anything happens.