Is AI mastering good enough to release?
For a lot of records, yes — particularly for demos, loosies, references, and anything on a deadline. AI mastering is consistent, immediate, and free of scheduling. Where it still loses is on records with unusual arrangement problems or a specific sonic identity you are chasing, because those need a person making judgment calls. SESSION gives you the engine for the first case and a booked engineer for the second.
What LUFS should I master to for streaming?
Most streaming platforms normalize playback to roughly -14 LUFS integrated, so mastering far louder than that mainly costs you dynamic range without making you louder to the listener. SESSION reports your measured integrated LUFS and true peak against your chosen target, so you are working from numbers instead of guesses.
Can I use SESSION to hire a real mastering engineer?
Yes. Engineer discovery and booking live in the same workspace as the AI engine. Because the engineer opens a project that already carries your stems, versions, and notes, the brief is mostly written before the first message.
How is this different from LANDR or eMastered?
Those are dedicated mastering services and they are good at that one job. The difference is what surrounds it: in SESSION the master is attached to a record that is already timestamped and protected, whose versions are already organized, and whose splits and royalties are handled downstream. And when the algorithm is not the right answer, you book a person without leaving.