你能否提供建议,帮助我实现客户互动的个性化?
客户服务与关怀Can you provide suggestions for how I can personalize my customer interactions?
指令参数定制变量
修改下方变量,右侧的实时生成结果预览(Live Output)将同步进行中英文精准文本插值替换。
本指令调优最佳实践
- 01.你能否提供建议,帮助我的财务规划咨询业务实现客户沟通的个性化?
- 02.Can you provide suggestions for how I can personalize my customer interactions for my financial planning business?
你能否提供建议,帮助我针对 [互动渠道/沟通方式] 进行 [个性化定制/精细化剪裁]?
Can you provide suggestions for how I can [personalize/tailor] [interactions/communication]?
💡 使用技巧:将复制的内容直接粘贴给 ChatGPT、Claude 或 Gemini,即可获得高度结构化、切中业务要害的高质量解答。
Can you provide suggestions for how I can personalize my customer interactions?
你能否提供建议,帮助我针对 [互动渠道/沟通方式] 进行 [个性化定制/精细化剪裁]?
Can you provide suggestions for how I can [personalize/tailor] [interactions/communication]?
你能否提供建议,帮助我的财务规划咨询业务实现客户沟通的个性化?
Can you provide suggestions for how I can personalize my customer interactions for my financial planning business?
import { GoogleGenAI } from "@google/genai";
// 初始化 Google GenAI SDK (服务器端)
const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });
const response = await ai.models.generateContent({
model: "gemini-2.5-pro",
contents: ["你能否提供建议,帮助我实现客户互动的个性化?"],
config: {
systemInstruction: "你能否提供建议,帮助我针对 [互动渠道/沟通方式] 进行 [个性化定制/精细化剪裁]?",
temperature: 0.1
}
});
console.log(response.text);
import { GoogleGenAI } from "@google/genai";
// 初始化 Google GenAI SDK (服务器端)
const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });
const response = await ai.models.generateContent({
model: "gemini-2.5-pro",
contents: ["你能否提供建议,帮助我实现客户互动的个性化?"],
config: {
systemInstruction: "你能否提供建议,帮助我针对 [互动渠道/沟通方式] 进行 [个性化定制/精细化剪裁]?",
temperature: 0.1
}
});
console.log(response.text);
import OpenAI from "openai";
// 初始化 OpenAI 客户端
const client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
const response = await client.chat.completions.create({
model: "gpt-4o",
messages: [
{ role: "system", content: "你能否提供建议,帮助我针对 [互动渠道/沟通方式] 进行 [个性化定制/精细化剪裁]?" },
{ role: "user", content: "你能否提供建议,帮助我实现客户互动的个性化?" }
],
temperature: 0.2
});
console.log(response.choices[0].message.content);
import os
from google import genai
from google.genai import types
# 初始化 Google GenAI Python 客户端
client = genai.Client(api_key=os.environ.get("GEMINI_API_KEY"))
response = client.models.generate_content(
model="gemini-2.5-pro",
contents="你能否提供建议,帮助我实现客户互动的个性化?",
config=types.GenerateContentConfig(
system_instruction="你能否提供建议,帮助我针对 [互动渠道/沟通方式] 进行 [个性化定制/精细化剪裁]?",
temperature=0.1,
),
)
print(response.text)
Prompt 场景全景生态协同矩阵
智能联动调优基座、高阶效能工具链与权威工程资讯百科