At Ingenia we do not treat AI as a magic button or a substitute for judgment. We treat it as layers of the same flow: explore, design, prototype, produce motion, implement, and maintain. That means choosing tools with clear roles instead of stacking subscriptions nobody uses together.
How the pieces fit
- Figma Design and Figma Make for visual system, exploration, and functional prototypes before writing code.
- Higgsfield for generative video and image when the brief needs motion or fast campaign variations.
- Cursor and skill-based agents for implementation, review, and repetitive repo work.
- Hermes Agent when you need persistent memory, messaging channels, and orchestration outside the IDE.
- Next.js, Gemini, and RAG in client-facing product — like this site's assistant — when AI is part of the delivery.
The point is not «use AI» but not breaking the chain: what is decided in brand should reach the prototype; what is validated in prototype should have implementation criteria; what is generated in video should respect typography, rhythm, and tone already defined.
A good ecosystem reduces friction between phases. A bad one multiplies revisions and orphan files.
What we check before adding another tool
- Does it solve a real bottleneck or just add another interface?
- Does it export or integrate with what we already have (design tokens, repo, assets)?
- Can we audit and correct the output without depending on today's prompt?
Upcoming blog posts go deeper on Hermes, Figma Make, and Higgsfield with the same lens: what they are for, where they help, and where not to use them.
