**Hero Unveils Autocomplete SDK to Simplify AI Prompting for Developers and Users**
Crafting effective prompts for AI chatbots has become an increasingly important — yet often frustrating — skill. As artificial intelligence systems become more integrated into everyday applications, users are often unsure of how to phrase their requests to get the best results. This challenge has given rise to a new niche: some startups now hire dedicated “prompt engineers” to help bridge the gap between human intent and AI understanding.
In response, consumer AI apps have started to introduce features like suggestion buttons and automatically generated recommendations. These tools are designed to guide users, making it easier to interact with chatbots and discover the full range of their capabilities. Now, a new player is entering the field with an innovative approach aimed at both developers and end-users.
Hero, a productivity-focused startup founded by former Meta employees, has announced the launch of a new autocompletion SDK (Software Development Kit). This tool is currently available by invitation only and allows developers to integrate advanced prompt-completion features directly into their apps. The goal: to make interacting with AI systems faster, simpler, and more intuitive for everyone.
**How Hero’s Autocomplete SDK Works**
At the core of Hero’s approach is an AI-driven autocomplete system that anticipates what a user needs to enter into a prompt and fills in the details automatically based on context. For example, if a user begins with a simple instruction like “Book a flight,” the SDK immediately suggests relevant fields such as “to,” “from,” “on date,” “at time,” “airline,” and “returning on.” Users can choose to stop at any point, sending the partially or fully completed query to the chatbot for processing.
This intelligent prompt-completion isn’t limited to travel booking. When using AI-powered tools for image or video generation, for instance, the autocomplete can offer suggestions for parameters like object, style, location, landscape, and camera angle. Adobe’s Firefly app, which recently introduced a feature for creating soundtracks, lets users specify keywords for mood, style, and purpose — a similar concept that helps guide users through complex prompt creation.
Saharsh Vedi, an engineer at Hero who worked on this feature, explains that the traditional process of interacting with an AI chatbot often involves multiple rounds of trial and error. Users typically need to refine their requests several times to achieve the desired result. The autocomplete SDK aims to streamline this, allowing users to get better results with fewer interactions — sometimes even in a single prompt.
**The Technology Behind the Scenes**
According to Brad Kowalk, Hero’s co-founder, the company employs a series of AI models to predict what the user is likely to type next. “With AI autocomplete, we pull forward all the inputs needed to complete an action, finishing it 10 times faster as there are fewer back-and-forths involved,” Kowalk told TechCrunch. He believes this technology can open up new possibilities across various industries, from