GTM with AI-generated videos
The assignment
Run a full GTM with AI-generated videos (Higgsfield, Google Veo). Land your first 10 users on Instagram or LinkedIn.
✳What Rachit shipped
A set of AI-generated video assets and an accompanying GTM strategy document for AI Lingo, a gamified AI-learning app, framing a phased plan to reach new users through short-form video content.
✳Our read on this build
Rachit shipped a shared document. This read comes from the artifact and Rachit's own account of it — no scores, just what the build does and does not show.
What it demonstrates
- There is real creative here: AI-generated video.
- And it left the editor: a GTM push.
- Best of all, the number attached is people rather than impressions: users.
Take this awayThe compressed lesson: creative used to be the bottleneck and now it is not, which means campaigns get judged on targeting and follow-through instead.
✳Why this quest matters
Distribution is part of the build. Landing real users — not likes — is the honest scoreboard, and generating the creative with AI is how a solo PM runs a campaign that used to need a whole team.
✳What separated the strongest builds
The creative is genuinely AI-made
Video out of an AI video tool — Veo, Higgsfield and friends — rather than a screen recording or stock footage with a caption on it.
The campaign actually ran
Posted, live, on a real feed. A campaign plan describing what you would post is a different, easier assignment.
Users, not views
Signups, waitlist joins, trials — people who did something. Impressions are the number you report when the other numbers are small.
No numeric scores are published here. These pages are written reads of what each builder shipped — the build is the point, not a mark out of a hundred.