How Fyxer built an AI executive assistant people trust
Fyxer details its OpenAI-powered AI executive assistant, orchestrating 30-50 specialized models trained on 500,000+ hours of assistant workflows.
OpenAI published a case study on Fyxer, whose AI executive assistant orchestrates 30-50 specialized OpenAI models trained on more than 500,000 hours of annotated executive assistant workflows. The system uses supervised fine-tuning, LoRA, and Direct Preference Optimization on user edits, and 53% of AI-generated email drafts are accepted as written. Fyxer's annual recurring revenue grew from $1 million to $32 million during 2025.
- Orchestrates 30-50 specialized models for narrow email workflow tasks
- Trained on 500,000+ hours of annotated assistant workflows
- 53% of AI drafts accepted as written; ARR grew to $32M in 2025
- Uses SFT, LoRA, and DPO with A/B testing before shipping model updates
From the original article
5 min read at openai.com
Fyxer uses OpenAI models, fine-tuning, memory, and real user feedback to organize inboxes and draft emails in each user’s voice.
openai.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.