Verbia
AI Reply & Writing Assistant
I'm a non-native English speaker, and I often know exactly what I want to say — just not how to say it naturally in English.
Translation isn't really the problem. Sometimes I don't have a sentence to translate. I have an intent.
ChatGPT can help, but it usually means copying the conversation, explaining the context and what I mean, then copying the answer back.
So I built Verbia around a simple idea:
Context + your intent → the right words.
I can receive a message in English, tell Verbia what I want to say in Chinese, and get a natural English reply that fits the conversation.
I'm not betting on a better AI model. I'm betting that removing the copy/paste, prompting, and language switching makes this workflow useful enough to be its own product.
That's what I'm trying to validate.
Do you ever have the same problem?
https://verbia.henriz.dev
You mean it. Verbia says it.
Features
• Context-aware AI replies based on the conversation you're viewing
• Express your intent in your own language and reply naturally in another language
• Speak your intent with voice input instead of typing a prompt
• Adjust the tone and length of your reply
• Works directly inside supported email, social, and messaging platforms
• Universal mode for text fields across the web
• Generates editable drafts — Verbia never sends messages automatically
Use Cases
• Reply naturally in a language you're not fluent in
• Turn a rough idea or intent into a well-written message
• Reply to emails without copying the entire conversation into an AI chatbot
• Join online discussions and respond with the right context
• Write professional, friendly, concise, or more detailed replies depending on the situation
• Handle cross-language conversations while keeping your original meaning
• Draft replies faster when you know what you want to say, but not how to say it
Comments
Answering English emails with what I want to say in Chinese is a loop I know well, so this one clicks. Two questions: does it keep names, numbers and links from the thread exactly as written? And can I see the draft back in Chinese before inserting it, to check it says what I meant? Also, which email clients are supported right now?
The copy-paste loop is the real cost here, not the model. Reading the thread and taking an intent in the writer’s own language, then returning a draft you still edit before send, is a clearer product than a general chatbot. The voice-intent option also fits people who know what they mean but stall on phrasing. Curious whether email and social contexts stay separate or bleed tone between them.
The “context + intent → the right words” framing feels more specific than a generic translator, and the Chrome / Edge install links are easy to find. A short before-and-after example on the homepage would make the difference between expressing an intent and translating a sentence immediately clear to new visitors.
The "never sends automatically" design is the right call — AI writing assistants that fire messages for you always feel risky. The in-context intent capture is the real win here: explaining context to a chatbot in a separate tab is where most replies die. Would be interesting to see how it handles thread drift, where the tone you need shifts mid-conversation. Also the voice input option could be handy for drafting replies on mobile.
Love the "context + intent → the right words" framing. A lot of writing assistants just paraphrase, but the real friction is exactly what you describe — copying context back and forth and losing your own voice in the process. Does Verbia let you tune the reply length and tone per conversation, or is that a global setting?
"I have an intent, not a sentence" describes the problem well. Translation tools assume you already have the sentence. How does Verbia handle register? The same intent sent to a client and to a close colleague needs very different wording. Does it read the formality from the incoming message, or can the user nudge it?
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Comments
Answering English emails with what I want to say in Chinese is a loop I know well, so this one clicks. Two questions: does it keep names, numbers and links from the thread exactly as written? And can I see the draft back in Chinese before inserting it, to check it says what I meant? Also, which email clients are supported right now?
The copy-paste loop is the real cost here, not the model. Reading the thread and taking an intent in the writer’s own language, then returning a draft you still edit before send, is a clearer product than a general chatbot. The voice-intent option also fits people who know what they mean but stall on phrasing. Curious whether email and social contexts stay separate or bleed tone between them.
The “context + intent → the right words” framing feels more specific than a generic translator, and the Chrome / Edge install links are easy to find. A short before-and-after example on the homepage would make the difference between expressing an intent and translating a sentence immediately clear to new visitors.
The "never sends automatically" design is the right call — AI writing assistants that fire messages for you always feel risky. The in-context intent capture is the real win here: explaining context to a chatbot in a separate tab is where most replies die. Would be interesting to see how it handles thread drift, where the tone you need shifts mid-conversation. Also the voice input option could be handy for drafting replies on mobile.
Love the "context + intent → the right words" framing. A lot of writing assistants just paraphrase, but the real friction is exactly what you describe — copying context back and forth and losing your own voice in the process. Does Verbia let you tune the reply length and tone per conversation, or is that a global setting?
"I have an intent, not a sentence" describes the problem well. Translation tools assume you already have the sentence. How does Verbia handle register? The same intent sent to a client and to a close colleague needs very different wording. Does it read the formality from the incoming message, or can the user nudge it?
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