A callcast is a conversation recorded for the purpose of notation and, sometimes, for sharing — ad-libbed rather than formatted, and captured at a moment when the audience is not yet known.
The term is defined by contrast with the podcast. A podcast carries a defined format, a consistent publishing cadence, and an intended audience that exists before the recording does. A callcast inverts all three: it is an ordinary call that happens to be recorded, and whether anyone beyond the participants ever hears it is an open question at the time of capture. The recording's first job is memory, not distribution.
That inversion moves the weight onto 📝consent. Because no audience is defined in advance, permission cannot be a one-time release; it is acquired under a standing understanding, and any later sharing requires everyone's agreement:
Let's record our conversation in case we say smart or interesting things. No one besides us will ever hear it unless everyone agrees.
In practice a callcast is paired with transcription, highlighting, and search, which turns a conversation into a referenceable document rather than a broadcast. Distribution, when it happens at all, is granted listener by listener rather than published openly — closer to sharing a private document than to releasing an episode.
I record my callcasts with 📝Eva, an AI assistant that handles transcription, predictive highlights, categoric classification, and audio search. The recording then goes to 📝Mythos One alongside related 📝memos, where 📝Memo Collaboration lets me control exactly who listens in.