AI

Agent

Agent is an in-app guidance layer. Visitors type what they want to do and an on-screen arrow walks them there across pages. One script tag, no SDK, with analytics on where and why users leave.

Category
AI
Stage
Pre-launch
For
Founders

About

Agent is an in-app guidance layer. Visitors type what they want to do and an on-screen arrow walks them there across pages. One script tag, no SDK, with analytics on where and why users leave.

Features

Problem
Visitors cannot find the right feature in a product.
How it works
Visitors search in their own words from an in-product search box.
Result
Users can start guidance for the task they are trying to complete.
Why
Search lets users state their intent rather than navigate a predefined tour.
Problem
Users may need to navigate multiple steps and pages to complete a task.
How it works
An on-screen arrow points to each step and can guide visitors across pages.
Result
Visitors are walked to buried features and task destinations.
Why
The guidance follows a path to the feature rather than merely describing it.
Problem
Traditional tours require manual creation and become outdated after UI changes.
How it works
A single script tag lets Agent index the live DOM and map navigation paths.
Result
Teams avoid SDK installation, integration work, and maintaining tours.
Why
Using the real site is presented as an alternative to hand-built flows.
Problem
Teams do not know what users were trying to do when they left.
How it works
Analytics records searches, guide progression and drop-offs.
Result
Teams can identify confusing steps and where users get lost.
Why
Each search and abandonment point supplies product-feedback context.
Problem
Unanswered requests can indicate product or documentation gaps.
How it works
Analytics surfaces searches with no match.
Result
Teams can prioritize missing features, documentation, or navigation improvements.
Why
No-match searches expose needs Agent could not answer.

Founder

Prajyot Mane

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