Skippr AI

The live AI employee inside your product, serving every user

Customer Success

User Experience

Artificial Intelligence

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@sagi_shorrer1 Really interesting approach! As AI agents become more capable, I’m curious how you think about the boundary between an AI employee and a traditional product experience. What are the key moments where you believe users prefer an agent taking action vs. using the product themselves?

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?

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?

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.

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?

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 browser automation is the part I'm most curious about. One thing that would make it feel way more trustworthy is a small audit trail window showing what the agent just clicked or typed, so users can follow along and intervene if it drifts. That kind of transparency would help a lot during onboarding flows where trust is everything.

I find the live employee concept interesting because it goes beyond chat support. What is the biggest limitation today? Being open about current boundaries could strengthen trust with potential customers.

What is the criteria for a problem that would be handed over to a human? Given that Skippr cannot fix it.

the "it clicks, it doesn't just point" part is the interesting bit and also the scary bit. once an agent is actually driving the UI instead of just narrating, what happens on a destructive action, like a delete or a cancel-subscription button, does it always pause for a real confirmation, or is that left up to how the workspace owner configures it?

How does the agent handle it when a user asks something totally outside what it was trained on? Does it hand off to a human or just say it doesn't know?

One thing that would make this a no-brainer for our team is a Slack or Teams integration where the agent can ping a channel when it gets stuck on something it can't resolve, so a human can jump in without the user having to leave the flow.

Actually impressed by how quickly the agent picked up on my screen during onboarding, felt almost like having a coworker guiding me. Wish the free credits went a tiny bit further but solid first impression.

The right boundary for this kind of product feels like assistance without taking agency away from the user. Let the agent complete obvious setup work, but make its planned action visible before it mutates anything important. That is where trust compounds.

kinda wild that it actually clicked around my app on its own without me hand holding it, felt like watching a coworker onboard a new hire. honestly the multi language thing surprised me the most, gonna throw a spanish speaking user at it and see

Embedded it in a quick test and the agent actually remembered context from earlier in the session, which caught me off guard. Browser automation felt snappy too, no lag clicking around the page.

The two-line embed is genuinely impressive, got it running in under five minutes. The on-screen automation feels surprisingly smooth for a self-serve setup.