Scout’s AI Translation Agents: Bridging Language and Cultural Gaps

In an increasingly interconnected world, the ability to communicate seamlessly across languages is crucial for enhancing user experience. Traditional translation methods, often involving human translators or basic translation software, have served us well but come with limitations in speed, cost, and scalability.

Enter Scouts AI translation agent — a sophisticated tool that goes beyond mere word-for-word translation to provide nuanced, context-aware language conversion.

Lets imagine a few use cases:

Content Localization:

Content creators and marketers often need to localize their content for different regions. An AI translation agent can adapt content to fit cultural nuances and regional preferences, ensuring that it resonates with the target audience

For example, lets say a company releases a new product globally. Scout’s translation agent helps localize the products instructions, and promotional materials to ensure they are culturally appropriate and engaging for customers in different regions.

Legal and Compliance:

Legal documents and compliance materials often need to be translated accurately to avoid misunderstandings and legal issues. AI can handle complex legal language and ensuring accuracy and consistency across languages and cultures.

Imagine a company entering the Japanese market. Scout’s agent helps translate contracts, compliance documents, and business correspondence, ensuring they are culturally appropriate and meet Japan’s unique business etiquette and legal standards.

To get started with your Scout translation agent, follow these steps:

1. Create an App on Scout: If you don’t have a Scout account, you can create one for free at https://www.scoutos.com.
2. Set Up Your Organization and App: Once your organization and app are created, you will land on the App Builder dashboard.

Today we’ll focus on keeping the translation agent as simple as possible. We’ll do a deep dive into the content localization and legal compliance use-cases soon, stay tuned for those.

Before we configure our LLM block we’ll want to add another input field at the top of the page. To do this click on the “+” icon and select “Single Line Text” this will be used to tell the agent which language we want the query translated to. Make sure to change the ID of this new input field to something descriptive, we’ll use “lang” for this one.

To configure the LLM block you’re welcome to pick and choose from the various LLM models Scout has available, for today lets go with GPT-4o. Next we’ll drop the temperature down to 0 and increase the token count to 400. Response type should be left as “text.” For a refresher on LLM parameters check here.

Feel free to copy the prompt below or use your own:

$SYSTEM: As the Scout Translation Assistant. 

{% set system_message %}
Translate the user input into the specified language noted in {{inputs.lang}}

{% endset %}

{% if not chat_history %}
$SYSTEM: {{ system_message }}
{% endif %}
{% for message in chat_history %}
{% if message.role != "system" %}
{% if loop.last %}
$SYSTEM: {{ system_message }}

{% endif %}
${{message.role | upper}}: {{message.content}}
{% endif %}
{% endfor %}

$USER: {{ inputs.input }}

With the prompt field configured its now time to test. To interact with this app you can enter the text to be translated in the first input field and the language to be translated in the “lang” input field.

As always, If you have any questions or need further assistance drop into our community Slack where our users and staff can lend a hand.