AI-generated product tours
Scripted product tours are fragile. They break the moment your UI changes, and you usually find out from a frustrated user. Frigade learns your product and generates the tour on demand, so it stays current as you ship.
Why scripted product tours never lasted.
Pendo, Appcues, WalkMe, and Userpilot all work the same way. A teammate picks DOM selectors, types step copy into a builder, and a tour replays those steps for new users. The tour only covers the workflows that teammate had time to build, and only for as long as the underlying UI doesn't move.
When your product ships, those tours break. Selectors stop matching, copy goes stale, and the step lands on the wrong element. Nobody on your team notices. Users notice, and they leave.
Selectors break on every rename.
Tours target DOM nodes by CSS selector. The next time engineering renames a class or rewrites a panel, the tooltip lands on the wrong element. Users see a broken tour and disengage.
Every new flow is a builder ticket.
A new workflow means a new tour, hand-built. Most teams cover the four or five flows they had bandwidth for and leave the long tail uncovered. The roadmap of tours never catches up.
Tours break and nobody knows.
There's no alert when a selector misses. The team ships, the tour breaks, and the only signal is a confused user weeks later filing a ticket about something that used to work fine.
An agent that learns your product, then teaches it back.
Frigade trains a browser agent on a staging copy of your product. The agent uses your app the way a real user would, builds a working context of every workflow, and stays current through automatic retraining. When a user asks for help, the agent generates the tour on the spot.
Automatic
No tour builder, no selectors. Point Frigade at staging and the agent learns the product itself. New customers get coverage of every workflow on day one.
Accurate
The agent reads the product the user is actually looking at. If your team shipped a new sidebar yesterday, the tour reflects it. Frigade adapts when your product changes.
How Frigade stays accurateOn demand
For the workflows you know about, Frigade can surface a nudge in the moment. For the long tail, a user asks, and the agent generates a tour for that exact thing in seconds.
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Generated by the agent the moment the user asked, from the live product.
Frigade vs. traditional product tours.
The category started with scripted, builder-driven tours a decade ago. The differences come down to how the tour gets built and what happens when your product changes.
Scripted tours
A teammate picks selectors and writes copy in a builder.Frigade Assistant
An agent learns the product by using it. No builder, no selectors.Scripted tours
Only the workflows your team had time to script.Frigade Assistant
Every workflow the agent saw in training. Long tail included.Scripted tours
Selectors break. A human goes back in and rewires the tour.Frigade Assistant
The agent retrains and adapts. No human in the loop.Scripted tours
Rewrite the whole tour.Frigade Assistant
The agent's model updates with the product.Scripted tours
You guess the moment with a URL or attribute trigger.Frigade Assistant
Proactive when you want it, on demand when the user asks.Scripted tours
User is on their own until someone builds the tour.Frigade Assistant
User asks. The agent generates the tour for that flow on the spot.Scripted tours
A CSM or PMM keeps tours alive every release.Frigade Assistant
Zero. Automatic retraining handles it.Scripted tours
Builder account, SDK, then a few weeks of authoring.Frigade Assistant
Script tag in under fifteen minutes. Agent trains itself.The agent walks them through, in your product, in the moment they need it.
When a user asks a question or clicks a suggested nudge, Frigade highlights the actual buttons in your UI, walks the user through each step, and can take direct actions on their behalf when the workflow calls for it. Multi-language by default. Stays current as you ship.
Live in under a day. Replaces months of tour authoring.
- Step 1
Drop in the script tag.
One snippet on your staging environment. No SDK changes, no per-component instrumentation.
- Step 2
Agent learns your product.
A browser agent uses your app and builds a working context of every workflow. Takes hours, not days.
- Step 3
Tours are available on demand.
Every workflow the agent learned is now teachable in-product. Proactive when you want it, on demand when the user asks.