A suite of AI engines that do marketing work
A marketing department's worth of engines
A set of standalone AI engines — one writes campaigns, one finds a competitor's customers, one builds and improves its own landing pages — each handing a small marketing team finished work it can use the same day.
A marketing team was doing everything by hand — research, campaigns, ads, leads — and every output went stale within weeks, so whole jobs never got done at all.
A suite of standalone AI engines, each owning one marketing job and handing the team finished work in the tools they already use — and each engine feeding the next.
| Before | After | |
|---|---|---|
| How the work gets made | by hand, one piece at a time | an engine produces it on demand |
| How long it stays useful | stale within weeks | regenerated fresh whenever needed |
| Who it takes | a full-time person per job | one operator running all the engines |
| How the jobs connect | separate teams, separate silos | engines that feed each other |
| Where the output goes | scattered docs and dashboards | straight into the CRM, docs, and Slack |
Each team got an AI-powered lane it can act on the same day, and the engines feed each other — the one that finds competitor customers feeds the lead list, the lead list feeds the trend summaries, the summaries sharpen the next campaign. What used to need a fully staffed marketing-ops team became a set of engines one person runs, producing finished work instead of demanding upkeep. It's the kind of leverage that lets a small team punch like a department — and gets sharper every cycle instead of staler.
What I built
Several standalone AI engines under one roof — eight in all — each a self-contained lane that owns one marketing job. Rather than one big tool, each is a focused engine that produces finished work on demand. The three live in production:
- Campaigns and retention. A factory that turns a brief into ready-to-send email sequences, seeded with the campaigns already running, so a marketer edits rather than starts from a blank page.
- Competitor discovery. An agent that pulls from several sources to find confirmed customers of competitors at scale, scores each against the kind of customer the company most wants to win, and hands back a ready-to-use lead list — dropped straight into the CRM the sales team already uses.
- Landing pages. An on-brand page builder that tailors the page to the audience and the campaign (a tag in the link swaps the framing), produces A/B variants, and runs a weekly loop that reads its own traffic data and proposes its own improvements for review. It replaces the old page-builder for fast, AI-driven campaign pages.
Everything outputs where the teams already work — the CRM, shared docs, and Slack — not into a custom screen built for its own sake.
Why it matters
The payoff is a small team that produces like a full department. Each engine hands a team finished work it can act on the same day, so the jobs that used to get crowded out actually get done. And because the engines feed each other — discovery feeds the lead list, the leads feed the trend summaries, the summaries sharpen the next campaign — the output compounds: the whole system gets sharper every cycle instead of staler.
Normally, "a marketing department's worth of repeatable production" describes a staffed marketing-ops function with a budget to match. Here it's one operator running a set of engines, producing finished artifacts instead of maintaining tools.
The hard part wasn't building any single engine — it was deciding which jobs to turn into engines first, and how they hand off to one another so they compound instead of sitting in silos. Done wrong, you get a pile of clever tools nobody connects. Done right, the output of one becomes the input of the next: the engine that finds competitor customers feeds the lead list, the lead list feeds the trend summaries, the summaries sharpen the next campaign. The other deliberate choice was where the work lands — in the CRM, docs, and Slack the teams already live in, never in a custom screen built for its own sake. An artifact a team can use today beats a dashboard they have to be trained to open.
The bottom line is leverage that compounds: a small team gets a marketing department's worth of repeatable output, run by one operator, with the engines feeding each other so the whole thing gets sharper every cycle instead of staler. It's the kind of leverage that lets a lean team produce like a much bigger one.
Which jobs to turn into engines first, and how each one hands off to the next, is the operating design clients pay for.