GrapeGrape
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.
Results

Three things that stop being a problem

Feature lists are easy to write and hard to care about. This is what changes for podcasters.
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.
Show up to the interview prepared
Keep guest research in one note and ask for the five questions your notes suggest.
Remember what episode forty said
Search the whole back catalogue by topic instead of scrubbing through audio.
In practice

What that looks like for podcasters

A few moments in a normal week where the app earns its place.
Before recording
Collect the guest research, links and questions in one note you can read from.
Straight after
Drop the audio in, get a transcript, and mark the parts that will make clips.
Publishing day
Ask for show notes built from the transcript and export them.
FAQ

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.