I’d like to share feedback regarding the implementation of AI credit limits in Figmake. As a designer managing multiple complex projects, I believe credit restrictions would greatly undermine Figmake’s usefulness in real-world design and prototyping workflows.
1. Most AI usage is for fixing bad or incomplete output, not luxury use.
In practice, a large percentage of AI prompts in Figmake are iterative—used to correct layout issues, rebuild misinterpreted elements, or align behaviors with visual intent. Each refinement quickly consumes credits even though the output quality depends on that iteration. Penalizing iteration limits the model’s ability to produce accurate prototypes, especially when the AI output is imperfect through no fault of the user, making credit usage really unfair and frustrating.
2. Predictability becomes impossible, discouraging adoption.
With a credit cap that no one knows how to predict and calculate ahead of time, I can’t plan how far my Figmake usage will take me in a given project. Credits could run out mid-way, forcing me to manually rebuild AI-generated prototypes and creating major inefficiencies. For example, if I spend a week using Figmake for an interactive prototype and then hit a credit limit right before stakeholder review, I’d end up having to redo everything by hand including component mapping and manual prototyping—rendering the AI tool more of a liability than an acceleration.
3. I actively use Figmake for time-intensive, pixel-perfect projects.
I currently have five ongoing projects that rely on Figmake’s automation to achieve understandable prototypes across varying layouts, dynamic conditions, and complex component interactions. These require functional, clickable prototypes that would otherwise take hundreds of manual steps. To give you a sense of credit usage to achieve a prototype, each project reached hundreds of versions within a week of creation. AI limits directly restrict my ability to complete these on schedule or maintain parity between design and prototypes.
4. Prototypes must stay updated and accurate.
Projects evolve rapidly across teams. If AI updates become throttled because of credit exhaustion, Figmake prototypes drift from reality—outdated screens, missing conditional flows, untested interactions, and inconsistent visuals make it impossible to keep stakeholders aligned. Designers would revert to traditional Figma, eliminating Figmake’s intended value.
5. Figmake bridges a huge gap with non-designer stakeholders.
Stakeholders don’t want to learn how to use Figma’s preview tools—they struggle with finding files, switching flows, adjusting zoom, or enabling hotspots. Figmake solves this by letting me send a simple link everyone can understand without training. Credit limits would prevent consistent sharing of working AI-powered prototypes, creating friction in alignment and communication with non-design teams.
6. Credit-based systems penalize professional users.
Professional users already pay for Figma Organization plans come with the expectation of scalability and reliability. AI credit limits undermine that—power users end up penalized, while lighter users are unaffected. Enterprise workflows require consistency, not unpredictable usage caps. Requiring designers to repeatedly request additional credits from admins adds unnecessary friction, forcing us to justify needs and placing stress on teams with little control.
7. Creativity and exploration get stifled.
Part of Figmake’s value lies in exploration—testing concepts, states, and flows in seconds. Predictive anxiety over “credit drain” limits experimentation. Designers will stick to safe, minimal use rather than exploring variations that lead to innovation.
8. AI credit management adds unnecessary overhead.
Tracking remaining credits adds cognitive and administrative burden. Instead of focusing on design, we’d have to monitor dashboards, request top-ups, or pause work mid-flow. This complexity erases the simplicity and joy that make Figma tools beloved.
Recommendation:
Instead of credit limits, please consider providing unlimited AI usage under paid plans with limits only for automation abuse.
- Allowing local refinement of previous AI generations without repeated credit consumption.