Challenge 1: Classifying a New Tool by What It Actually Does --
Solution Walkthrough

This tool belongs to the capture-time auto-polish recorder category,
not the post-hoc AI-narration pipeline category, even though its own
marketing copy ("AI-powered," "in minutes") sounds almost identical
to how DemoPolish and Trupeer describe themselves.

The deciding factor is WHEN the automation happens, not how it's
described. The chapter defines the two categories by mechanism: a
capture-time recorder does its work live, during recording itself,
producing a finished result the moment recording stops, with no
separate upload step and no timeline. A post-hoc pipeline requires
you to record first with something else, then hand the raw file to a
separate service afterward. This tool's own workflow -- install a
recorder, hit record, get a finished video with zoom, narration, and
captions the instant you stop, no upload step -- matches the
capture-time definition exactly, even though it also generates
narration automatically, which sounds like it should be a "post-hoc"
feature.

Why marketing copy alone doesn't reveal this: "AI-powered," "stunning
tutorial videos," and "in minutes" are used almost interchangeably
across all three categories in this chapter's own table -- none of
that language distinguishes when the automation actually happens.
Only checking the tool's real workflow (record → immediately
finished, vs. record → separate upload → wait) reveals which
category it genuinely belongs to.

WHY THIS WORKS AS AN ANSWER
------------------------------
This exercise checks that the reader applies the chapter's own
mechanism-based classification test to an unfamiliar tool rather than
relying on marketing language, and specifically recognizes that
"generates narration automatically" doesn't by itself mean
"post-hoc" -- the presence or absence of a separate upload/wait step
is what actually determines the category here.