Yesterday’s Carlyle post took 5 minutes to create.
A year ago? 3 hours. What changed might surprise you:
Public pension funds are huge investors. Tons of useful information, but they're painfully slow to parse.
We cover 10x more ground today vs. a year ago in a fraction of the time thanks to what we call our GPT intern.
This intern:
• Scans dozens of pension sites
• Finds and flags meeting notes
• Summarizes the investment rationale
• Links source docs
• Alerts us when something’s interesting
Grunt work and deal scouting while we sleep.
That’s how we spotted a pension’s $200M investment in Carlyle.
We uploaded a diligence packet → tweaked an incredible Ruben Hassid prompt → turned it into yesterday’s post.
All in about five minutes.
PLAYBOOK: The 12-slide playbook we use to turn 3-hour tasks into 5 minutes.
Also works for research reports, financial filings, market updates, etc.
---- Thinking vs. processing ----
Less processing → More thinking → More comp → More autonomy → More fulfillment
Only way up this curve? Skills.
Reality check: AI is pushing the value of processing toward zero and the curve is getting steeper by the day.
---- Takeaway ----
Why share this?
Our summary in yesterday's post is a simple but real example.
And it's easily replicable.
Again, processing is cheap.
We want to add insights every day.
We’re constantly building and refining.
Let us know what you’d like us to dig into next.
PS -- Our posts are extensions of our classes. DM us to explore joining our next FastTrack cohort next month.
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