Modular production skills
Darts Corner / AI Content Manager / October 2025—present
I built Darts Corner's first in-house AI content engine.
I designed the production system, created the work it enables and helped the wider team adopt it—replacing a four-week external agency cycle with same-day in-house delivery across more than 100 projects.
Python tools in the engine
Advertising templates
Image and video projects
The transformation
From outsourced production to an owned creative capability.
When I joined, the business could commission AI content, but it did not yet own the capability behind it. Production depended on an external partner, turnaround was measured in weeks and the operating knowledge sat outside the company.
My role became much bigger than making content. I built the infrastructure, production methods, quality controls and internal confidence required to run the work in-house—then proved the system against real briefs at real volume.
The AI content engine
A complete production function—not a collection of small tools.
The value comes from how creative direction, automation, review and finishing work together. Each layer solves a different part of production, but they operate as one system.
01
Production architecture
I built the system behind the output.
The engine is made up of 17 modular production skills and more than 30 Python tools. Together they create a repeatable route from a live brief to a reviewed, finished asset—not a series of disconnected experiments.
17 modular skills / 30+ Python tools
02
Creative coverage
I designed it around the work the business actually needed.
The workflows cover product imagery, paid advertising, AI characters, UGC and video production. A 40-template advertising system gives the team structured creative starting points while keeping each route tied to the product, audience and channel.
Product / advertising / characters / UGC / video
03
Quality and control
I made control part of production, not an afterthought.
Spend gates, realism review and defined approval points sit inside the workflow. Every route still ends with human creative judgement, edit, colour and 4K finishing before the work is ready to leave the system.
Spend gates / realism review / 4K finishing
04
Team capability
I moved the knowledge into the company.
I translated the system into practical workshops, standards and guidance for the wider business. The first hands-on production session trained 15 colleagues in how to use the capability, where its limits are and where human review belongs.
15 colleagues trained in the first workshop
The business value
Faster delivery was the visible result. Ownership was the lasting one.
The engine removed the need to send repeatable production work through an external agency, cutting both turnaround time and outside production spend. It also gave Darts Corner a reusable way to develop product imagery, advertising, characters, UGC and video without starting from zero on every brief.
Because the system includes training, standards and review—not only generation—the capability can expand without separating speed from brand quality or responsible human oversight.
What this proves
I do more than produce AI content. I build the function that makes it possible.
This work brings together creative direction, filmmaking, Python automation, operational design, quality assurance and team enablement. The finished content matters, but the bigger achievement is a production capability the business can own and keep developing.
Contact
Questions about this case study?
Email me for more detail on the production architecture, workflows, quality controls and team adoption behind the work.
Email Bailey