rpaguilar.com

What It Is

rpaguilar.com is the personal product design homepage of Ricardo Aguilar, centered on the theme of “Designing Intelligence” — product experience design for AI and intelligent systems. The page states that he has around two decades of product design experience, previously built internal tools at Google for the first Gemini release, and received a credited contribution in the Gemini 1.0 technical paper. His current work focuses on AI data infrastructure and tooling.

Core Capabilities

The site presents four AI product design principles. The first is “probabilistic UX,” emphasizing that AI outputs are not deterministic and that interfaces should honestly communicate confidence levels and handle uncertainty. The second is “human-AI collaboration,” arguing that AI should enhance human judgment rather than fully replace it. The third is “invisible guardrails,” embedding safety and ethical constraints into the interaction architecture to reduce bypass behavior caused by heavy-handed blocking. The fourth is “latency is the interface,” treating AI response wait times as a transparent and understandable trust-building process. These dimensions closely reflect real pain points in bringing generative AI products into production.

Pricing and Licensing

The captured text does not disclose any pricing, engagement packages, payment methods, service scope, or copyright/licensing information. It also does not state whether templates, resource libraries, code assets, or design files are provided. As such, it reads more like a personal capability showcase than a design service platform where users can place an order directly.

Pros and Cons

Its strength lies in its precise positioning: it builds a clear methodology around AI trust, human-AI collaboration, explainable waiting states, and related challenges, backed by experience on major AI projects. The downside is limited transparency. It lacks detailed case studies, customer profiles, collaboration workflow, deliverable formats, support options, and verifiable outcome data, making it difficult for visitors to assess budget requirements or implementation timelines.

Who It’s For

It is best suited for teams building AI features, internal enterprise AI tools, data infrastructure products, or generative AI applications — especially product owners and design teams looking to improve adoption, reduce misuse, and establish user trust. It is less suitable as a material library, online design tool, or standardized UI resource site.

Access in China

The page does not provide information about accessibility, so it is not possible to determine whether it can be accessed directly from mainland China. Status: unknown.