Create better songs on 
with AI Autocomplete
Today
- One empty box
- Whatever they think to type
- Describe it in one line
- Generate and listen
- Re-word and try again
- Keep something close
with AI Autocomplete
- Inspire users
- Songs closer to the one in their head
- Describe it in one line
- Answer four prompts
- Keep what they heard
Better prompts, not more of them
Suno already answers to genre, mood, voicing and tempo. Asking for them turns one line of description into a brief.
01
A blank box collects the least
Most people type one short line, because nothing suggests there is more to say.
02
Prompting is a skill; asking removes it
Nobody has to already know that shoegaze or 72 BPM were worth saying.
03
Same model, far more to work with
Genre, mood, voice and tempo arrive settled, so what comes back is closer to what they heard in their head.
The SDK
What is the AI Autocomplete SDK?
AI Autocomplete supercharges your text box. It is an SDK you drop into the search box or prompt box you already have, and it starts guiding people through what they actually meant.
The goal of AI Autocomplete is to hand a more complete phrase to the next step of your stack (your search provider or agent). It is powered by an intent layer: an action engine that pairs the reasoning of an LLM with detection that lands in 150 to 200 ms, so the guidance appears while someone is still typing rather than after they submit.
Drops into the box you have
No migration and no replatform. Your search, your models and your pipeline stay exactly where they are.
Completes the request, not the phrase
Ordinary autocomplete finishes a word. This resolves the attributes the person never said out loud, inside the box, before submit.
150 to 200 ms detection
Fast enough to keep up with typing, so the help arrives in the moment it is useful rather than a beat too late.