1. Tokenize the input text into words. 2. For each word, check if it's a proper noun (capitalized and in a name context). 3. If not, find three synonyms or alternative words. 4. Format them as word3. 5. Replace the original word with the formatted variant. 6. Ensure that the output is only the text without any explanations.

I should also check the length and structure of each replacement. Each set of variants should be in the specified format without any additional text. The user wants only the output text, so no explanations or extra details.

Next, for each non-proper noun, I need to provide three synonyms or alternatives. The challenge here is finding accurate synonyms that fit the context. Maybe I can use a thesaurus API or a built-in thesaurus in my knowledge base to find appropriate alternatives. For example, if the word is "happy", the variants could be pleased.

Also, some words might have different synonyms in different contexts. For example, "play" as a verb vs. "play" as a noun. Need to ensure the variants match the context.

First, I need to identify all the words in the input that are not proper nouns. Proper nouns are specific names like "John" or "Paris" which should be left unchanged. So, I'll have to make sure to exclude those.

Let me test this with an example. Suppose the input is "The quick brown fox jumps over the lazy dog." Proper nouns here are none, so all words are replaceable. For "quick", synonyms could be hasty. For "brown", maybe amber. "Fox" is a common noun, so alternatives could be coyote. "Jumps" as a verb might be leaps. Continuing this process for each word.

Okay, the user wants me to rework each word in the text with three variants, using the format word1. They also mentioned to skip proper nouns and only output the text. Let me break this down.