Creator · tiktok

@Michelle Lawson

👩‍💻 i make ai make sense 🫵 how to learn it, use it & grow with it. 💌: michelle@thedriveagency.co 📍 San Francisco

78.6Kfollowers2Kmedian recent views · n=60 posts302.9K · 152×best post · NotebookLM · vs own median2apps in the library · 0 with a standing program2posts audited
2025-11audited posts / month2026-10
Who they post for2 apps · public relationship evidence

0 standing programs, 0 ambassador-level feeds and 0 disclosed paid relationships in this sample. Repeated posting describes dedication; it does not prove a fee.

NotebookLMLLM assistant · 1 posts audited
Unknownunverified relationship
Recent feed0 of 30 posts mention it
302.9K152×2024-10-05
The public post recommends combining NotebookLM with Obsidian and contains no NotebookLM paid disclosure, referral code or tracked link; unrelated OpenAI partnerships in the recent feed do not prove a NotebookLM relationship. https://www.tiktok.com/@michellescomputer/video/7422369171356437806 The post that identifies it →
AnythingCoding & app building · 1 posts audited
Unknownunverified relationship
Recent feed0 of 30 posts mention it
2.1K2025-02-11
Caption says “the app is create.xyz” and the post demonstrates a working app; commercial relationship unverified — https://www.tiktok.com/@michellescomputer/video/7470248679698353454 The post that identifies it →
The script they keep usingcounted from 2 audited posts
How they open1 of 2 audited posts run Capture context, then hand off the work. The lines below are the openings of their most-viewed posts.
Audited posts2 in sample · ranked by views · hover a frame to scrub

Followers, medians and views as captured in the research release. A multiple compares the post to the creator’s own recent median. Relationship labels describe the public evidence, never the amount paid. Definitions in the methodology.