Fyxer's AI executive assistant achieves a 53% unedited email draft acceptance rate, trained on over 500,000 hours of real executive assistant workflows. The system uses OpenAI models and routes tasks across dozens of specialized models, each tuned to a specific user's context, intent, and tone across email, meetings, and daily work.
The retention number is the real story: more than 90% of customers are still active after 90 days. That is not a vanity metric. It signals the system is learning user behavior well enough to stay useful past the novelty window, which is where most AI productivity tools collapse.
The architecture decision to decompose a single assistant into many specialized models, rather than one generalist, is what makes this worth reading in full. Fyxer is a live case study in how workflow decomposition, not model size, drives real-world AI adoption in knowledge work.
[WATCH ON YOUTUBE →]