Custom AI Tools for Marketing and Creative Agencies
Custom AI systems built around the way your agency actually works - from lead screening and research to automation and AI-enabled products.
What gets built
The tools are specific, not generic AI features bolted onto a dashboard. Recent work includes MCP servers that let AI assistants use a product's own data safely, lead-screening tools that read and rank inbound enquiries, and research instruments that gather and structure what a team would otherwise trawl by hand.
Some agencies want a tool. Some want a website or an application with AI built into it from the start. The starting point is the same: understand the workflow first, then build the smallest useful thing that changes it.
AI is one part of a broader job - turning agency expertise, methods and workflows into technology the agency owns - and it only gets used where it is the right tool for the problem.
The shapes the work takes
Most builds fall into one of five shapes.
- 01Lead screening - a tool that reads inbound enquiries and scores them against your own fit criteria, so the right ones get attention first.
- 02Research instruments - tools that gather and structure what a team would otherwise trawl by hand, on a schedule, with the results stored and comparable.
- 03MCP servers and the APIs underneath - the layer that lets AI assistants use your product's data and actions safely. Detailed on its own page.
- 04Internal automations - the repetitive drag between systems, removed. Only where a human checking the output still makes sense.
- 05Websites and applications with AI built in - products where AI is part of the workflow from the start, rather than added afterwards.
Why Yellow House Digital
Two things decide whether a custom tool is worth building: whether the person building it understands the work it has to fit into, and whether you can judge that before committing.
Built by someone who ran an agency
I ran a 30-person digital agency for twelve years, so I know what agency work looks like from the inside - how it is won, scoped, delivered and where the repetitive work accumulates.
That is what shapes the tools: knowing where judgment matters, and where a tool helps rather than becoming another thing to maintain.
Methods published in the open
I publish papers, playbooks, audits and working tools openly, so you can judge the thinking before deciding whether to work with me. No gates, no email walls.
The Writing section holds all of it, in full.
How an engagement starts
Three steps, before any building begins.
- 01A short conversation - about the workflow you want to improve.
- 02A one-page plan - scope, what gets built first, and next steps - before any building begins.
- 03The smallest build that changes the workflow - you see it working before anything grows.
Questions
MCP servers, lead-screening tools, research instruments, internal automations, and applications with AI built in. The starting point is always the agency's own workflow, not a generic template.
Last updated: 15 July 2026
Want to talk it through?
Tell me the workflow you want to change and I'll suggest the right next step.
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