Marketers should build the tools, not just brief them
Why I think the next edge in product marketing is shipping your own go-to-market surfaces, and what I learned building a lead-gen tool end to end with AI.
For most of my career, the line between marketing and product was clear. Marketers wrote the words. Engineers built the things. If you wanted an interactive tool, a calculator, or a gated experience, you filed a ticket and waited a quarter.
That line is gone now, and I do not think enough marketers have noticed.
The old value exchange was flat
Content marketing has a conversion problem it rarely says out loud. You pull in traffic, most of it reads and leaves, and the small slice that converts does so through a value exchange that feels thin: give an email, get a PDF you may never open.
The asset is static. It cannot respond to the reader. It cannot qualify them. It just sits there and hopes the headline was good enough.
I wanted a demand surface that did three things a whitepaper cannot. Give the buyer something genuinely useful. Qualify them by their own behavior. And make the argument for the category while it does both.
So I built one
I built an interactive tool where the buyer plays out a simulated year of decisions, sees the outcomes, and then trades their work email for a personalized report. The email flows straight into the CRM as an identified lead, tagged by source.
The important part is not the mechanic. It is that I built the whole thing myself, end to end, with Claude Code: the concept, the copy, the decision logic, the scoring, the report, and the integration. No dev sprint. No design-to-engineering handoff. No quarter of waiting.
Ten years ago this would have been a multi-team project. I shipped it as one person who knows the buyer and can now also write the code.
What actually changed
The skill that got cheaper is not writing. It is building.
That reframes what a product marketer is for. If I can conceive a demand surface and ship it in days, then my judgment about what to build, and for whom, and where it sits in the funnel, becomes the scarce thing. The buyer insight was always the hard part. Now it is the only part that is hard.
Here is the honest version, because I promised myself these posts would carry real lessons and not just wins. The tool works and it is live, but I could not get internal promotion prioritized for it. One company post and a single newsletter mention were the extent of the distribution. So the traffic numbers are not the story, and I will not dress up a figure that is not there.
That gap taught me more than a good number would have. Building the asset and running a go-to-market motion around it are two different jobs. I got the first one right and learned exactly what the second one needs: distribution planned before the build, not after.
Where I think this goes
The marketers who compound over the next few years will not be the ones who write the fastest. AI flattened that. They will be the ones who can look at a funnel, spot the surface that is missing, and go build it themselves.
That is the bet I am making with my own work. Learn the buyer deeply, then build the thing that turns their attention into pipeline. Brief less. Ship more.
If you are a marketer who has started building with AI, or a team hiring for exactly this, I would like to hear from you. You can reach me at nilotpalmsaharia@gmail.com or on LinkedIn.