We built an AI agent to run our own marketing - here's what happened.

Before we recommend AI to a single distributor, we point it at ourselves. This is the honest story of the digital-marketing agent that now runs a real slice of Silex's own - and clients' - marketing: what it does well, where it still needs a human, and what we'd tell you before your first pilot.

Why we pointed the agent at ourselves first

We have built software for other people for eighteen years. Some of those platforms are still in production today, run by the same clients who launched them. That longevity buys us a particular kind of caution: we don't ship anything we haven't run ourselves, at our own risk, on our own numbers first. AI was never going to be the exception.

So instead of buying a demo and pointing it at a client, we did the harder thing. We gave an agent the least glamorous, most repetitive corner of our own marketing - the weekly cadence of drafting posts, repackaging case studies, keeping the pipeline of field notes moving - and told it to earn its place. If it couldn't hold up against our own standards, it had no business anywhere near a client's brand.

What it actually does day to day

The agent lives inside a simple loop: brief, draft, human review, publish. A short structured brief goes in - the topic, the pillar, the proof point we want to anchor on, and the audience it's written for. The agent pulls from a library of our real work: the 370,000+ orders we run for B2B distributors, the vacation-rental platform we scaled to 8,000 properties, the 53-store retail rollout, the airport power monitoring. From that it produces a first draft, a set of headline options, and the supporting social copy.

Day to day, it handles the work that used to stall for weeks because nobody had a clear afternoon: turning a finished project into a case-study outline, drafting the monthly field note, keeping the posting calendar full, and flagging when a claim needs a real number attached to it. It is fast, tireless, and genuinely good at structure. What used to be a bottleneck - sitting down to a blank page - is now a queue of drafts waiting for judgment rather than a queue of ideas waiting for time.

• Drafting - first-pass posts, field notes and case-study outlines from a structured brief.
• Repackaging - turning one long piece into social copy, email and summaries without losing the facts.
• Scheduling - keeping the calendar full and consistent instead of feast-or-famine.
• Fact-flagging - marking every claim that needs a real, verifiable number before it goes out.

Where it still needs a human

Here is the part the demos skip. The agent is excellent at getting to eighty percent and unreliable at the last twenty - and the last twenty is where trust lives. It will confidently round a number, soften a disclosure we're careful about, or reach for a claim that sounds right but isn't ours to make. Left alone, it drifts toward the generic vendor voice we spend our whole brand trying to avoid.

So a person still owns judgment, tone and the final publish. Every draft passes a human who checks the facts against the source, restores the specific over the sweeping, and enforces our disclosure rules - which client names we can say out loud and which we never do. The agent removed the blank page; it did not remove the editor. If anything, it made the editor's role sharper, because now the scarce human hours go entirely to judgment instead of typing.

What we'd tell you before your first pilot

The lesson that transfers to every client is this: start with one narrow job. The teams that get burned on AI are the ones that try to automate a whole department at once and then can't tell what's working. We started with a single workflow we understood cold, instrumented it, and only widened the scope once the output held up week after week.

Scope one high-value, low-blast-radius task. Keep a human in the loop on anything that ships in your name. Measure against real output - not a vendor's benchmark. And treat the first month as a diagnostic: you are learning where the agent helps, where it hurts, and what your own process was quietly relying on a person to catch. That's exactly how we'd run a pilot with you - and it's why we run our own in production before we ever propose yours.