Jimmi Jackson · YouTube creator, 1.34M+ subscribers · Advisory
Mapping a daily AI research engine for a 1.34M-subscriber YouTube operation
Jimmi Jackson runs a YouTube operation with more than 1.34 million subscribers. Hours of
every day were going into manual research — hunting ideas, scanning trends, validating
topics, and trying to forecast what would perform — instead of into making videos. This was
an advisory engagement: Yo-Da Lai mapped where the research hours were actually going,
worked out which parts were rules-based enough to hand to software, and designed a daily AI
research and trend-forecasting engine that feeds ready-made briefs to the team.
An advisory engagement for a 1.34M-subscriber YouTube operation.
What was breaking?
The research load grew with the channel. Finding ideas, scanning what was trending,
validating topics and guessing what would perform were all being done by hand, every day.
Creative time — the thing a 1.34M-subscriber channel actually runs on — was being eaten by
busywork that a system should be doing.
What did the engagement cover?
This was advisory, not a build. We walked the research and trend workflow end to end: where
the hours were going, which steps were rules-based enough to hand to software, and where
human judgement has to stay.
The research ops map: where the daily hours were actually going.
The split between rules-based research work and human creative judgement.
The design for a daily AI research and trend-forecasting engine.
Briefs delivered to the team on a schedule, instead of research on demand.
A plan the operation can run with, in-house or with any builder.
What did the team leave with?
A clear, sequenced plan: what the research engine watches, how topics get validated, how
forecasts are made, and what lands in the team's hands each day as a ready-made brief. The
map is the deliverable — the operation can act on it at its own pace.
Before
After
Hours of manual research daily
One mapped research-ops path
Idea hunting and trend scanning by hand
Designed to run on a schedule
Topic validation and forecasting by gut feel
A defined, repeatable process
The team's mornings start from zero
Start from a daily brief
How does the plan keep the team in control?
The engine researches; people decide. The design keeps every publish decision human — the
system delivers briefs and forecasts, and the team chooses what becomes a video. Everything
the engine surfaces is logged and traceable back to its sources, so a recommendation is
never a black box.
