We just released AI Autocomplete, a SDK that gives every text box a brain. It boosts your conversions by 50%+ by guiding your users as they type with what your product can do, and 500+ companies have already signed up. So check it out if you have a search box or assistant, and add it in under 5 mins: ai-autocomplete.com

Excited to announce this huge leap forward in search. Today, Shopify stores now have passed Amazon with the most powerful search, called AI Autocomplete. Search technology hasn’t changed for 15 years until today. but now, instead of typing 1-2 words, AI Autocomplete guides you and allows you to filter by typing. So if you’re a Shopify store, you can now upgrade your search experience with AI Autocomplete from the Shopify App Store 👉 apps.shopify.com/ai-autocomp…

Today, I'm excited to announce a huge leap forward for search Now Shopify stores have *more powerful search than Amazon* By adding AI Autocomplete to their search, users can filter by typing, which increases sales significantly by helping people find what they want faster. Just by adding it from the Shopify App store. Search has been the same the last 15 years... until now. This new proprietary technology upgrades your store's search, by combining the intelligence of LLMs with the speed of search, all grounded in your store's catalog. Search used to be a 5 step process: 1) Type 1-2 words 2) Scroll 50 results 3) Filter down to 5 results 4) Find what you want 5) Buy Today, we've cut out 2 steps, making search far faster: 1) Type exactly what you want 2) Find what you want 3) Buy And while this is the best search, this is just the start... soon, people will see that this real-time intent layer by @magicX_ai is the foundation of: more powerful assistant experiences, generative interfaces, and eventually handsfree interfaces. If you know any Shopify stores, please tag or forward to them. They can add it in 1 click in the Shopify App Store: apps.shopify.com/ai-autocomp…

Imagine if you could type natural language of anything into @depop search, and the first result was exactly what you wanted... This the future of search. Instead of having to search and then scroll or filter afterwards, just type with natural language and get exactly what you want.

Just like this, if you currently have search in your product... you'll unlock a far more powerful app if you upgrade from old autocomplete to AI Autocomplete.

1 change to @eBay could increase sales 30%+

Who knows someone who works at @Mejuri ? we need to help them fast

@mejuri is a jewelry site that uses old autocomplete for their search box Fun fact: If they upgraded to AI Autocomplete, you'd be able to search for *really specific jewelry*. Would you be more likely to buy if you found exactly what you wanted? And now you can just drop the SDK in your search box too... ai-autocomplete.com/ecommerc… @magicX_ai

200ms. That's the window we have at @magicx_ai to deliver AI Autocomplete suggestions. This is what is necessary to create the intent layer. To hit that window, we had to weave together systems that don't normally live in the same stack... All needing to resolve before your next keystroke. You don't click enter and wait. AI should be constantly working as you type. Once you've experienced that, going back to "ask a question, wait for a response" feels old-school. I think we'll look back and wonder why AI ever worked that way. If we do our job right at @magicx_ai, products without this real-time layer will feel broken.

Imagine if you went to @amazon search, and the first result was *exactly what you wanted*... This is how Amazon search would work with AI Autocomplete. Now you can drop the AI Autocomplete engine into your search box in 5 minutes, and immediately increase your conversions ai-autocomplete.com

RT @magicX_ai: Add AI Autocomplete to your text box. Increase your conversions 50% or more

This is what’s needed... chat married with UI. A lot of the comments here are talking about the step change that happens when you introduce UI… We need a UX that combines the speed and flexibility of natural language, with the precision and inspiration of UI nitter.net/bradkowalk/status/2079…

RT @bradkowalk: We're hitting the ceiling of chat-only AI, and it's happening faster than I expected. Chat made total sense as the first i…

If you want to see a great company using AI Autocomplete... @itomarkets is a marketplace for compute. It's a powerful tool where you can buy, sell, or rent fixed rate GPU capacity. As a new user, I didn't know how powerful Ito was... But then I started typing: I immediately discovered that I could buy 32 B200s for 12 months at $0.75 / hr. Pretty cool that Ito can do this! Even if you're not selling GPUs, you can also install AI Autocomplete in 5 mins in your product ai-autocomplete.com

Now that @magicX_ai has launched AI Autocomplete, I wanted to share why it's such a big leap forward from Google autocomplete. Everyone has used old-school autocomplete... you type in gmail "nice to", and it includes grey text that says 'meet you'. Because it has to be exactly the two words you wanted to say next, you rarely use it. Instead, AI Autocomplete is the evolution of autocomplete. While old autocomplete predicts the next exact word based on historical data, AI Autocomplete predicts the action the user is trying to take based on their real-time intent, the current context, and what the product can actually do. This is a big difference. Instead of completing the next two words, it helps users discover and complete actions in real time, enabling products to feel dramatically faster and more powerful. So while old autocomplete predicts the next keyword, AI Autocomplete predicts the next action. How can we do this? Under the hood, AI Autocomplete is a new architecture... a tightly integrated action engine that understands context, intent, and product logic, then generates accurate predictions as the user types. It is designed to return suggestions up to 10X faster and 5X cheaper than a standard LLM call, with the goal of returning most predictions in 200 milliseconds or less.

We launched AI Autocomplete yesterday to solve the problem that Airbnb is facing (and Brian has very publicly called out): today's chat is not the end state. We feel strongly that the ideal UX is a combination of chat + UI. Chat is great for speed and flexibility. People can describe what they want in their own words without navigating through a rigid series of menus and filters. UI is better for discoverability and precision. It makes options visible and gives people a clear way to browse, compare, and make decisions. You don’t want Airbnb to describe ten homes to you one at a time. You want to see the photos, prices, locations, maps, and filters. The future should be a marriage of the two. Someone should be able to type, “Find somewhere warm for my family in March,” and have the product immediately identify the missing details -dates, travelers, budget, and preferences- while showing the right visual interface around the request. In doing so, the user gets what they want faster, and the product gets everything it needs to take the action in 1-shot. That is what we just launched AI Autocomplete to help enable. It understands what someone is trying to do as they type, suggests the relevant parameters and options, and guides them toward the actions the product supports. Chat provides speed and flexibility. UI provides discoverability and precision. The future is a marriage of the two.

We’re incredibly excited to be launching the AI Autocomplete SDK publicly today. Our prediction: the intent layer will quickly become one of the most important layers of the AI stack. AI products are becoming dramatically more capable, but users are still usually greeted by a blank text box and expected to know what to ask, which details matter, and what the product can actually do. This will become a larger problem as people expect to take actions end to end, without back and forth question. AI Autocomplete helps complete intent, not just sentences. It reveals relevant options as users type, gathers missing details, and turns vague language into structured inputs and actions. For users, that means faster, easier, and more accurate outcomes. For products, it means far more powerful products are coming soon. Try it out when you get the chance, and let us know what feedback you have!

Free idea for Anthropic / OAI / XAI = be the Kirkland of AI Few people realize that Kirkland Coffee is actually made by Starbucks. It’s more common than you think for big brands to make the store brand as well… to (1) capture the lower tier of market share and (2) prevent outside competition. So if Chinese open source AI is a threat… why don’t the labs just create the Kirkland AI version themselves?