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Another consideration is generating appropriate variants. For each word, we need three plausible synonyms or variations. For example, converting "Hello" to "Hi, Greetings, Hey". However, the user might expect different variants depending on context. But without knowing the actual text, it's hard to tailor the variants precisely.

I need to make sure that in the output, only the result is presented, without any additional text or explanation. The user wants the final converted text directly.

Let me go through the example provided in the user's initial message. They had "example@example.com" and "123 Main St, Anytown, USA 12345." In "example@example.com," the first word "example" is a regular noun (a sample), but in the email context, it's part of the email address. Since the email address is a name/capitalized entity, perhaps I should leave "example" as is. Wait, emails typically aren't capitalized beyond the domain part. The username part is often lowercase. So maybe "example" is part of the username here, so it should remain unchanged. But the user said to keep names intact. Unless "example.com" is considered a name, like a domain name, but again, that might depend on context. Another consideration is generating appropriate variants

Assuming the actual text to process is "example@example.com 123 Main St, Anytown, USA 12345", the output would keep those as is. But the user might have intended that even in their absence, the example shows the process.

Alternatively, maybe the entire email address is treated as a single entity, so each part isn't considered a separate word. The same goes for the address: "123 Main St, Anytown, USA 12345" should be kept as it is because it's an address, and each component is a proper name or location. However, the user might expect different variants depending

Given the ambiguity, perhaps the user expects us to treat any sequence that looks like an email, URL, or address as a name and leave them as-is, while generating variants for other words. So, the main task is to split the text into tokens that are either names or words.

Wait, but the user said "convert every word with 3 variants formatted v3." So each word in the input text (excluding names) needs to be replaced by three possible variants. The challenge is identifying which words are names and which are regular words. Without specific context, it's hard to know. If the input text includes words that could be either names or common nouns, I might have to default to treating them as regular words unless they fit a pattern of names (like capitalized words, domains, addresses, etc.). The user wants the final converted text directly

Starting with "example@example.com"—here, "example" is the username, and the rest is the domain. Since domains are specific and should remain unchanged, I'll leave "example" and "example.com" as they are. "123 Main St, Anytown, USA 12345" seems like an address. "Main St" is a street name, and "Anytown" is a placeholder for a city. These should also be kept intact as names or locations.

Wait, but how do I determine if a word is a name? For example, words like "Apple" could be a fruit or a company. How do I know which is which in the input text? The user hasn't provided any specific text to work with yet. They just gave an example with the placeholder "Text:" followed by "example@example.com" and "123 Main St, Anytown, USA 12345."

In summary, the steps I need to follow are: