We just delivered a system into production for a newsletter agency! & it changed how their writers think about competitors.

The problem wasn’t writing.

It was research fatigue.

Their copy team was manually:

Subscribing to dozens of newsletters
Reading every issue
Tracking hooks, openings, CTAs, tone shifts
Trying to reverse-engineer why certain issues worked

Good writers.

Too much cognitive load.

So we built Mark One — an internal agent that handles the pattern recognition side of competitor research, so writers can focus on judgment and craft.

Mk1 is now live in production and actively used by the agency’s team.

The demo shows:

How different competitors open their issues
How structure changes week to week
Where CTAs show up (and how often)
Tone and intent patterns across a niche
Side-by-side issue summaries that save hours of reading

It doesn’t write anything.

It just answers the questions writers usually spend hours figuring out manually:

What’s working? What’s repeating? What’s noise?

Here’s a short walkthrough of the system in action:

👉 https://youtu.be/XRq-a6fasuk?si=ZrH1kLvwqGTKDFV_

Not sharing this to sell anything — just showing how we’re reducing research time for copy teams so their actual writing energy goes where it matters.

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