Supporting Systems & A.I Experiments
Small system I build alongside my flagship product to learn faster, iterate more intentionally, and deepen my understanding of AI-driven workflows.
AI Flyer Automation — Make.Com
A self-correcting AI workflow designed to explore how structured inputs, validation, and feedback loops can produce reliable creative output.
I built this system alongside my core product work to better understand how AI agents can be orchestrated as part of a larger product system — not just used in isolation.
The workflow translates structured user inputs into design-ready prompts, generates visual assets, evaluates quality automatically, and retries generation until a defined standard is met. Approved outputs are then delivered directly to the end user.
I use this system both for real promotional requests (event and marketing flyers) and for generating creative assets used across my own projects.
Concepts explored:
Converting user intent into structured system inputs
Designing automated feedback and retry loops
Balancing creative flexibility with quality constraints
Using AI as a component within a broader workflow, not a standalone tool
Status: Supporting system — actively expanding