Skippr AI
Live AI employees for product onboarding and demo
779 followers
Live AI employees for product onboarding and demo
779 followers
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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Launch Team / Built With
How are you thinking about this vs. the tooltip-tour tools a lot of us already have?
@james_harrington2 Tours are signage, Skippr is staff. A tooltip plays the same script to everyone, can't answer questions, and gets skipped by the users who end up stuck. Skippr is live: it talks with the user, sees where they are, adapts, and when guiding isn't enough it takes the cursor and finishes the step. No flows to build, no re-recording when your UI changes
What is the criteria for a problem that would be handed over to a human? Given that Skippr cannot fix it.
@thomas_digaetano Good question Thomas. The main criteria: it's outside the agent's knowledge and investigation options (screen, KB, session context), it requires authority the agent deliberately doesn't have (billing decisions, account changes, real bugs), the boundaries the owner set say "not yours to touch," or the user simply asks for a human. In the enterprise version there's also confidence-based handoff, where the agent asks instead of proceeding when it isn't sure.
The part teams like: the handoff comes with the session context, what the user was trying to do, what was checked, where it got stuck. The human starts warm instead of from "hi, how can I help you."
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?
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?
Great question! Until now we've worked with B2B customers only, but the new self-serve tier lets anyone embed an agent in their app or share it via a video meeting link (it can even see a screen share from outside the product). Curious what B2C use cases you have in mind!
Compared to a chatbot trained on your app:
Eyes. It sees what's happening on the user's screen in real time, not just answers from docs.
Hands. It can move the UI itself and complete long multi-step tasks.
Voice + brain. It talks naturally and digests the live session, past history, and long-term user memory.
Lives beyond the product. It can join your team's flow, like guiding a session in a meeting room.
Less chatbot, more live expert that watches, talks, acts, and remembers.
Work in any language ? French and arabic?
@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!
Spun one up in under five minutes and it actually handled a messy onboarding flow without me babysitting it. Surprised how natural the voice interaction felt across languages.
@slah4jh Thanks a lot Sila - please let me know if anyway we can help!