Agent AI Use Cases
Use FluentC Anywhere You Build AI
n8n
Unlimited batch mode per language with webhook or polling flexibility
Langchain
Flat pricing per language, smart caching, and async support for large jobs
make
Unlimited batch mode per language with webhook or polling flexibility
openai
Unlimited batch mode per language with webhook or polling flexibility
Translate at Scale in n8n — No Tokens, No Limits
FluentC supercharges your n8n workflows with built-in multilingual support that’s fast, flat-rate, and endlessly scalable. Whether you’re translating form submissions, product content, or user-generated data, FluentC lets you plug in a powerful translation engine using just HTTP nodes — no API gymnastics required.
Why FluentC Wins for n8n Users
- Unlimited batch usage — $5 per language/month with no character caps
- Webhook + polling — Fits every type of async automation pattern
- Memory-aware translation — Never pay to translate the same string twice
- Language auto-detection — One less node to manage
- Flat, predictable pricing — Know your cost before you build
How It Works
Use FluentC’s batch or real-time API in any n8n flow. Connect via an HTTP Request node and get results back instantly (real-time) or asynchronously (batch) with polling or webhook delivery.
Batch Workflow Example:
HTTP Node →
POST https://api.fluentc.ai/translateWait/Delay Node
HTTP Node →
GET /translate/status?job_id=...Use
translated_textsin subsequent nodes
{
"texts": ["Submit your form", "Welcome back!"],
"target_language": "fr",
"mode": "batch"
}
Real-Time Workflow:
Use a single HTTP node with
mode: "realtime"for immediate translation
How It Works
FluentC integrates into LangChain as a simple Tool or external API. You can configure it to use either batch or real-time mode depending on your performance and scale needs.
Tool Example:
from langchain.tools import Tool
translate_tool = Tool(
name="fluentc_translate",
func=lambda text: translate_batch(text, target_lang="es"),
description="Translate text into Spanish using FluentC"
)
You can also register FluentC as a callable function for OpenAI agents, or use it inside a dynamic chain component.
Make LangChain Agents Multilingual — Automatically
Why FluentC Wins for LangChain Developers
-
Flat-rate pricing — One language, one monthly fee. No token juggling.
-
Smart memory built-in — Identical segments aren’t retranslated or billed.
-
Async & real-time support — Works with tool invocations and agent function calls.
-
Webhook or polling support — Fits batch chains or interactive agents.
-
Trusted architecture — Built for scale, not for strings.
Drop FluentC into Your Zaps and Make Scenarios — Translate Without Limits
FluentC brings effortless multilingual capabilities to Zapier and Make, helping you automate translation for form submissions, CRM entries, support tickets, and more. Unlike token-based APIs, FluentC offers flat-rate pricing with unlimited batch usage, making it the perfect drop-in service for your automations.
Why FluentC Wins for Zapier and Make
No per-translation charges — Unlimited batch use for a fixed monthly rate
Works with any app — Fully platform-agnostic HTTP support
Webhook ready — Automations trigger downstream steps instantly
Reliable memory system — Reduce duplication and API volume
Built for real content workflows — Not just string-by-string calls
How It Works
Use a Webhook step in Zapier or Make to send data to FluentC. You can choose real-time mode for immediate results, or batch mode for high-volume content with follow-up actions.
Example Scenario:
Trigger: Google Form submitted
Action: Webhook (POST to
/translate)Filter: Wait for response (poll or webhook)
Action: Store result in Google Sheet or send to Slack
How It Works
Register FluentC as a callable function in your GPT setup. The API accepts a single string or an array of text segments and returns translations instantly (real-time) or via a job status callback (batch).
Function Definition:
{
"name": "translate_text",
"description": "Translate input into a target language using FluentC",
"parameters": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Text to be translated"
},
"target_language": {
"type": "string",
"description": "Language code (e.g. 'fr')"
}
},
"required": ["text", "target_language"]
}
}
Result:
{
"translated_text": "Bonjour, comment puis-je vous aider ?"
}
Make Your GPT Agent Multilingual — In Just One Call
FluentC makes it easy to add multilingual capabilities to your OpenAI-powered agents. Whether you’re using GPT function calling, Assistant API, or your own wrapper, FluentC gives you a reliable, memory-backed translation layer that works in real-time or in batch mode — with pricing you can actually predict.
Why FluentC Wins for GPT and LLM Agents
Fast real-time results — Perfect for function calling and live interactions
Flat pricing per language — No token sprawl or unpredictable bills
Smart memory built-in — Common phrases are cached, not recharged
Plug-and-play JSON API — Designed to work with OpenAI’s Assistant, Chat Completions, or LangChain wrappers
Works globally — 40+ languages out of the box
Join the Waitlist
With so much success with our first round of users, we needed to have a waitlist for new users. Join the waitlist now, and we will email you when you can register
