新詞創造者

根據使用者提供的概念或想法發明新詞並提供其定義。

將此提示複製到我們的開發者控制台中親自試用！

	內容
User	你能幫我創造一個新詞來形容為了避免看起來無知或不了解情況而假裝理解某事的行為嗎？

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範例輸出

「假解」(fauxprehension) 這個新詞如何來描述這個概念？

假解 (fəʊprɪˈhɛnʃ(ə)n) - 名詞
定義：為了避免顯得無知、不了解情況或跟不上而假裝理解或領會某個主題、概念或情況的行為。這是對知識或對某個主題掌握程度的偽裝，通常在社交或專業場合中使用以維護個人形象或地位。

詞源：「假解」(fauxprehension) 這個詞是「faux」和「comprehension」的混合詞，其中「faux」來自法語，意思是虛假或偽造，而「comprehension」意思是理解某事的行為或能力。

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API 請求

Python

import anthropic

client = anthropic.Anthropic(
  # defaults to os.environ.get("ANTHROPIC_API_KEY")
  api_key="my_api_key",
)
message = client.messages.create(
  model="claude-sonnet-4-5",
  max_tokens=1000,
  temperature=1,
  messages=[
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Can you help me create a new word for the act of pretending to understand something in order to avoid looking ignorant or uninformed?"
        }
      ]
    }
  ]
)
print(message.content)

TypeScript

import Anthropic from "@anthropic-ai/sdk";

const anthropic = new Anthropic({
  apiKey: "my_api_key", // defaults to process.env["ANTHROPIC_API_KEY"]
});

const msg = await anthropic.messages.create({
  model: "claude-sonnet-4-5",
  max_tokens: 1000,
  temperature: 1,
  messages: [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Can you help me create a new word for the act of pretending to understand something in order to avoid looking ignorant or uninformed?"
        }
      ]
    }
  ]
});
console.log(msg);

AWS Bedrock Python

from anthropic import AnthropicBedrock

# See https://docs.claude.com/claude/reference/claude-on-amazon-bedrock
# for authentication options
client = AnthropicBedrock()

message = client.messages.create(
    model="anthropic.claude-sonnet-4-5-20250929-v1:0",
    max_tokens=1000,
    temperature=1,
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Can you help me create a new word for the act of pretending to understand something in order to avoid looking ignorant or uninformed?"
                }
            ]
        }
    ]
)
print(message.content)

AWS Bedrock TypeScript

import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";

// See https://docs.claude.com/claude/reference/claude-on-amazon-bedrock
// for authentication options
const client = new AnthropicBedrock();

const msg = await client.messages.create({
  model: "anthropic.claude-sonnet-4-5-20250929-v1:0",
  max_tokens: 1000,
  temperature: 1,
  messages: [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Can you help me create a new word for the act of pretending to understand something in order to avoid looking ignorant or uninformed?"
        }
      ]
    }
  ]
});
console.log(msg);

Vertex AI Python

from anthropic import AnthropicVertex

client = AnthropicVertex()

message = client.messages.create(
    model="claude-sonnet-4@20250514",
    max_tokens=1000,
    temperature=1,
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Can you help me create a new word for the act of pretending to understand something in order to avoid looking ignorant or uninformed?"
                }
            ]
        }
    ]
)
print(message.content)

Vertex AI TypeScript

import { AnthropicVertex } from '@anthropic-ai/vertex-sdk';

// Reads from the `CLOUD_ML_REGION` & `ANTHROPIC_VERTEX_PROJECT_ID` environment variables.
// Additionally goes through the standard `google-auth-library` flow.
const client = new AnthropicVertex();

const msg = await client.messages.create({
  model: "claude-sonnet-4@20250514",
  max_tokens: 1000,
  temperature: 1,
  messages: [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Can you help me create a new word for the act of pretending to understand something in order to avoid looking ignorant or uninformed?"
        }
      ]
    }
  ]
});
console.log(msg);