Podcast, speaker & episode profiles

How to control who hosts your Notebooker podcast, how they sound, and how each episode is structured.

Notebooker turns the sources in a notebook into a narrated podcast episode. Two reusable profiles decide how that episode comes out:

  • A speaker profile — who is talking: how many hosts, their names, personalities, and which voice each one uses.
  • An episode profile — how the show is structured: the briefing/style, how many segments, the language, and which AI models write the outline and script.

You pick one of each when you generate a podcast. Notebooker ships with ready-made profiles, and you can create your own.

Speaker profiles

A speaker profile is a named set of 1–4 speakers. Each speaker has:

Field What it does
Name The host’s name, used in the transcript and audio.
Voice The TTS voice this speaker uses (e.g. tony, kate, melody).
Backstory Background/expertise that shapes what they say (e.g. “Senior AI researcher…”).
Personality Speaking style (e.g. “Analytical, warm, asks clarifying questions”).

A profile also has a voice model that applies to every speaker, and each speaker can override it with their own voice. That’s how a two-host show gets two distinct voices.

Built-in speaker profiles:

  • tech_experts — two hosts (an AI researcher and a full-stack engineer).
  • solo_expert — a single host explaining the material like a lecture.
  • business_panel — three hosts analyzing content from a business angle.

Episode profiles

An episode profile controls the shape and production of the show:

Field What it does
Speaker profile Which speaker profile (above) this episode uses.
Briefing The default instructions/style for the show (e.g. “Create an engaging technical discussion…”). You can append extra guidance per episode.
Segments How many segments the episode is broken into (3–20, default 5).
Language The output language (e.g. en-US, pt-BR).
Outline model The AI model that drafts the episode outline.
Transcript model The AI model that writes the spoken script.

Built-in episode profiles:

  • tech_discussion — pairs with tech_experts, 5 segments, technical tone.
  • solo_expert — pairs with solo_expert, 4 segments, explanatory tone.
  • business_analysis — pairs with business_panel, 6 segments, business tone.

How they fit together

Episode profile  ──references──▶  Speaker profile
   • briefing/style                  • speaker 1 (name, voice, personality)
   • segments                        • speaker 2 …
   • language                        • (1–4 speakers)
   • outline + transcript models

When you generate an episode, Notebooker:

  1. Reads your episode profile for the briefing, segment count, language, and which models to use.
  2. Looks up the speaker profile it references to get each host and voice.
  3. Writes an outline, then a full script with each line attributed to a speaker.
  4. Synthesizes each line in that speaker’s voice and stitches the audio together.
  5. Publishes the finished episode to your library and your private podcast feed.

Creating and editing profiles

Profiles live in your Notebooker settings. You can:

  • Duplicate a built-in profile and tweak it — the fastest way to get a custom show. For example, duplicate tech_experts, rename a host, and change their voice to belinda.
  • Create a profile from scratch, defining each speaker and the episode briefing.
  • Edit or delete any profile you own.

Tip: keep the number of speakers in the speaker profile consistent with the conversational style in your episode briefing. A “panel debate” briefing with a single-speaker profile will read like a monologue.