AI +AI
I build the AI layer instead of buying it. That means agents wired straight into the ad stack — scripts that read campaign data every morning, flag the anomalies that would otherwise burn a week of budget, and draft the next round of briefs. Python does the plumbing; the model only handles the judgement that is genuinely fuzzy.
In practice it starts unglamorously: a spreadsheet nobody wants to open, or a report that eats three hours every Monday. I take that job, wrap it in a script, and let the model handle only the part that needs reading between the lines. The test I apply is simple — if the automation stopped tomorrow, would anyone notice? If not, it should not exist.
WHAT YOU GET Automations that run daily without babysitting
CAPABILITIES
- 01 Agentic AI development
- 02 LLM agents
- 03 Python automation
- 04 In-house ad tooling
skill not promise
SEE THE SKILL