About this module
A teaching studio for generative media
Curated AI advertising case studies paired with a working FAL campaign builder, so a class can move from reading about generative creative to running it and seeing what it costs.
Generative media stack
Models, pricing, and campaign assets
Current image models
FLUX.2 flash, turbo, and pro alongside Nano Banana 2 and Pro, so the quality-to-cost tradeoff is visible.
Production-grade APIs
A queue-backed API with predictable latency, which is what makes a live classroom demo viable.
Creative control
Prompt, format, and resolution controls that map onto real channel deliverables.
Cost transparency
Per-image and per-megapixel pricing read live from FAL, then enforced against a per-run cap.
Use cases
Where generative media fits
Each case study in the library maps to one of these patterns, so the strategy is legible before the pixels are.
Advertising
Explore several visual territories for one positioning statement before committing a production budget.
Social media
Generate format-native variants for feed, story, and creator placements from a single brief.
E-commerce
Produce product hero, detail, and use-case imagery that stays consistent across a catalog.
Entertainment
Build key art and character concepts fast enough to test narrative directions with an audience.
What to take away
Four ideas worth arguing about
The studio is the exhibit; these are the questions it is built to provoke.
- 1
A single brief can yield several defensible creative directions, which changes how teams brief and review work.
- 2
Model choice is a budget decision as much as an aesthetic one: the lineup here spans a 30x price range.
- 3
Guardrails belong in the workflow and at the account level, not in a reviewer's memory.
- 4
Generated assets need provenance. Every asset here stores its prompt, model, and dimensions alongside the image.
Ready to build a campaign?
Load the sample brief, pick a model, and watch the cost estimate before you commit a single generation.