Paul-Louis Nech

Gender bias in AI-powered search is easy to miss and hard to measure. When an LLM mediates between a user and a catalog, bias can enter at two layers: what gets retrieved and how the agent narrates it. No standard tooling exists to measure it in production.

We built our Agent Studio to orchestrate LLMs across providers, powering e-commerce agents, support copilots, and SaaS assistants. When we added memory, we had a constraint: our customers run with classic keyword search, neural search, or both.

“The natural world is harsh and full of surprises, such as edible-looking food that actually kills you. For thousands of years, humans had to face hard questions for their survival, such as answering “is this mushroom a great source of nutrients or the last thing I will ever eat?” Modern-day foragers browsing InstaCart may be in a safer place compared to our unlucky ancestors.