Hello, I am Benjamin Prigent, product design lead at Pigment.
I build cash-positive digital products that help people reach their goals.

About me
Designer and product builder
I’m currently a Product Design Lead at Pigment where I work on AI agents for financial planning. My main value add comes from business experience, I approach design as a tool for revenue and leverage, and I tend to think in terms of systems.
Before Pigment, I founded two companies. I sold one early; the other I ran for two and a half years before shutting it down. After that, I joined a venture studio to learn how to structure innovation more deliberately. Later, I spent three years at Meta, where I learned what building at scale really means, and how systems, process, and organization shape outcomes.
Previous work
AI Agents for FP&A
Ad products, Browser, and AI
IOT, Mobile, E-Commerce
E-commerce, Supply chain
Online payment
Internal operations
My blog
I like to document what I learn and build. Topics range from AI agents to product strategy.
5 Financial AI Benchmarks for anyone building financial AI agents: what they test vs. don't test
3/15/2026
In late 2023, GPT-4 got 81% of questions about SEC filings wrong. That number comes from FinanceBench. Models have improved since then but the result set off a wave of new benchmarks. Each one trying to capture a different slice of what "financial AI" means. In this article, I map those benchmarks, breaking down what they test and identify where the gaps are.
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7 UX patterns for better human oversight in ambient AI agents
12/4/2025
Ambient AI agents (the agents that run in the background) are reshaping work. Yet product designers are missing a shared design language for building them. This article introduces seven UX patterns that let agents act autonomously while keeping humans in the loop and in control.
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What behavioral science has to say about user interface performance
7/18/2025
Behavioral science offers powerful insights into why certain design decisions influence actions more effectively than others. In this article, I explore how some psychological mechanisms shape user behavior, using real-life web examples and scientific research.
