AI agent for podcasters
Ask your notes. Get an answer.
Ask a back catalogue a question in plain language and get the answer with the note it came from, so on publishing day you are reading your own words instead of hunting for them. The agent can file, tag and tidy while it is in there.
Every answer points back to the note it came from, so you can check it
It can create, edit, move, tag and delete notes when you ask it to
Built in Grape AI on Pro, or plug in your own API key
Ask about one note, one folder or the whole library
Summaries from your own words
A week of meeting notes becomes three bullet points you can send on.
Tidying stops being your job
Ask it to file the loose notes into folders and add the tags you already use.
Web search in the same chat
When the answer is not in your notes, it can look it up and write it in.
Ask a whole folder at once
Point it at a project and it reads every note in there before it answers.
Keep the answer as a note
The plan it just wrote lands in the folder you name, ready to work from.
The model is your call
Grape AI on Pro, or your own key for OpenAI, Anthropic, Google, Ollama and more.
the cold open
Three things that stop eating the edit day
Skip the feature list. This is what changes between the recording stopping and the episode going out.
01
An hour of audio, and the show notes still have to be written by hand.
Turn an episode into text you can use
Drop the audio into a note, get a transcript, then ask for the summary and the timestamps worth clipping.
02
Guest research is in tabs, DMs and a doc you cannot find.
Show up to the interview prepared
Keep guest research in one note and ask for the five questions your notes suggest.
03
You know episode forty covered it and you would have to scrub to find where.
Remember what episode forty said
Search the whole back catalogue by topic instead of scrubbing through audio.
an episode
What that looks like for podcasters
Three points between recording and publishing where the app pulls its weight.
01
Before recording
Collect the guest research, links and questions in one note you can read from.
02
Straight after
Drop the audio in, get a transcript, and mark the parts that will make clips.
03
Publishing day
Ask for show notes built from the transcript and export them.
The rest of the app
What Else Grape Does
Every part of the app is built around the same idea: keep what you write, and hand it back when you need it.
Memory
The agent remembers what you tell it
Open
Semantic search
Search that works on what you meant
Open
Voice and transcription
Meetings become text, with who said what
Open
Web clipper
Save any page from Chrome into a note
Open
Share to Grape
A page from the share sheet becomes a note
Open
Flashcards
Decks built from the notes you wrote
Open
listener questions
Questions Before You Install It
The rest of them live in the help center.
Get show notes out of it.
Guest research, running orders, recordings and transcripts in one library, so an episode becomes show notes, clips and the prep for next week without starting from nothing.