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B2B Marketing
Used by content teams at leading companies
Keeping up with quality control at 100mph is hard and annoying.
Get a free content review
AI means you're shipping more than ever. Great. Now you have even more things to worry about.
Things are moving too fast to always sense check properly. So you're shipping more but trusting it less.
Every team's got the next big LLM-powered idea. You're not just creating anymore, you're fielding requests.
There's a review process and there's sign-off. But it's under pressure and it's starting to slip.
There's plenty of data, but it's not always clear what the content was meant to do (or if it did it).
You don't need more tools or processes, you need an experienced pair of eyes who can slot in, make sense of the situation and keep the quality bar where you need it.
Not a replacement. Not a new process. Just senior editorial bandwidth, exactly where you need it.
Someone making sure what goes out is good. Reviewing, tightening and catching the things that slip through when everyone's moving fast.
Even with five people and two LLMs involved, it sounds like the same company. Consistent tone, consistent message, no surprises.
Help with reviews, rewrites and the tricky pieces that are taking too long. Without the overhead of a full-time hire.
Content gets better because someone's treating it seriously. Considered, curated and cared for (not just approved and shipped).
I've spent a decade writing for some of the most complex organisations in the world. Meta. Google Cloud. Enterprise tech, AI infrastructure, compliance. Places where the volume is high and the quality bar doesn't move.
I know how content teams work under pressure. The competing requests, the review loops, the stuff that ships when it probably shouldn't. My job is to help you keep a handle on it.
More about me
Send me something you've been working on. A blog post, a campaign email, a product page. I'll share some honest notes on what's working and what isn't.
No pitch. No obligation. You decide if the notes are useful.
If AI is speeding things up but quality is suffering, let's take a look.
Because AI solves the production problem, not the quality problem. It makes it easy to generate more. What it doesn't do is tell you whether what you've generated is accurate, on-brand, strategically coherent or actually worth publishing. That judgment still needs a human. And when the volume goes up, the human bandwidth for that judgment doesn't automatically follow.
A content review bottleneck is what happens when the rate of content production outpaces the capacity to review it properly. AI has dramatically increased how much teams can produce. The review process hasn't kept pace. So either things ship without proper scrutiny, or everything slows to a crawl waiting for someone to look at it. Neither is good.
With a clear brief, a strong editorial voice and someone whose job it is to maintain both. When five people and two LLMs are all touching the same content programme, consistency doesn't happen by accident. It happens because someone is treating the quality bar as a non-negotiable and catching the things that drift before they ship.
Steps into the workflow wherever the pressure is highest. That might mean reviewing and tightening copy before it goes live, writing the tricky pieces that are taking too long, or just being the experienced eye that catches the things that slip through when everyone's moving fast. Senior editorial support without the overhead of a full-time hire.
By treating it as an active job, not a passive guideline. Brand voice documents don't maintain themselves. Someone needs to be reading what's going out, flagging the drift and making the calls on what stays and what gets rewritten. That's the editorial function most teams are missing when they scale up their content output.
Quantity is easy now. Quality is the competitive advantage. When every team has access to the same AI tools, the output converges. The thing that makes content worth reading — a genuine point of view, a specific insight, a voice that sounds like a real person — still requires human editorial judgment. That's where the gap is, and it's widening.
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