For AI agents: a documentation index is available at /llms.txt, and the full corpus at /llms-full.txt. A markdown version of any page on this site is available by appending .md to its URL path — the homepage is at /index.md.

More journeys starting on with AI Autocomplete

Today

  1. Search a few words
  2. Scroll 24 bags
  1. Search a few words
  2. Pick one of 8 guesses
  3. Compare 24 bags
  4. Add to bag

with AI Autocomplete

  1. Guided search
  2. 3 matching bags
  1. Guided search
  2. Targeted bags
  3. Add to bag

Connected to your catalogue

Better search = more travelers finding their bag.

Searching “carry on” still leaves the details that decide which bag fits. AI Autocomplete asks for trip, shell, budget while the person is still typing, then hands the completed request to the search Away already has.

Your Away catalogue

AI Autocomplete choices

TripOne weekShellHard shellBudgetUnder $300

Your own data becomes the vocabulary people use to describe the bag they want.

How it works

Quick to add. Works with the search box and data you already have.

01

Connect your data

Give AI Autocomplete the attributes already attached to every bag.

02

Guide people as they type

Predict the detail that matters next and show relevant choices inside the search box.

03

Send a richer query to search

Pass the completed text and selected attributes into the backend you already use.

AI Autocomplete works with your search provider.

It only takes five minutes to set up.

  • Your existing search
  • Algolia
  • Custom search backend
Read how it works

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.

The right bag gets the trip moving.

Set it up