Blog
Product thinking, engineering deep-dives, company announcements, and perspectives from the team building Trusted.
A new job can reach submission in under 10 minutes for a pre-qualified clinician on Auto Apply. Here’s how that path differs from the overall median.
Four agents curate jobs through the same form and validations our human team uses. Ninety-two percent of incoming jobs now go live without human intervention.
What we learned rebuilding intake-to-submission from scratch in thirty days, with most of the code written by AI.
Why we moved change capture into Postgres, how we attach application context, and what a year in production taught us.
A spreadsheet pilot and four product versions taught us when to apply on a clinician’s behalf, when to pause, and when to ask.
A view of coverage, suppliers, candidates, and tasks for the people who run hospital contingent workforce programs.
What we learned reducing repeated API calls, managing credentials, and keeping worker records in sync with UKG.
We rebuilt work-experience validation as a conversation that fills the same structured form behind the scenes.
How a shared model of shift demand made pricing, load balancing, and fill-rate queries possible across different scheduling systems.
How structured requirements, automated checks, and AI-assisted review changed the work of qualifying a clinician for a job.
We integrated Nursys in 2018. In 2025, we moved verification into the submission process so a rule could evaluate the result as information changed.
How we prepare worker data, enforce scheduling limits, and show nurse managers the tradeoffs in a proposed schedule.
