教程中心
AI Agent 从入门到实战:概念理解、MCP 使用、平台实操、工作流自动化
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教程总数
234
入门教程
42
实操教程
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AI Travel Planning Assistant
Multi-modal trip planning with preferences and constraints
AI Travel Planning Assistant Overview Multi-modal trip planning with preferences and constraints. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mo
AI Handwriting Recognition
Converting handwritten notes to digital text with AI
AI Handwriting Recognition Overview Converting handwritten notes to digital text with AI. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="gpt
AI for Mental Health Support Apps
Safe, ethical AI features for mental wellness applications
AI for Mental Health Support Apps Overview Safe, ethical AI features for mental wellness applications. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create(
AI-Powered Job Board
Intelligent job matching and recommendation system
AI-Powered Job Board Overview Intelligent job matching and recommendation system. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="gpt-4o-mini
AI for Property Management
Automated tenant communication and maintenance prediction
AI for Property Management Overview Automated tenant communication and maintenance prediction. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model
AI Event Planning Tool
Automated event logistics and attendee experience management
AI Event Planning Tool Overview Automated event logistics and attendee experience management. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model=
AI Language Pronunciation Coach
AI-powered pronunciation feedback for language learners
AI Language Pronunciation Coach Overview AI-powered pronunciation feedback for language learners. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mo
AI for Mindfulness and Meditation
Personalized mindfulness content and session guidance
AI for Mindfulness and Meditation Overview Personalized mindfulness content and session guidance. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mo
AI for Insurance Underwriting
ML-powered risk assessment and underwriting automation
AI for Insurance Underwriting Overview ML-powered risk assessment and underwriting automation. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model
AI for Mental Math Training
Adaptive math tutoring and skill development with AI
AI for Mental Math Training Overview Adaptive math tutoring and skill development with AI. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="gp
AI Technical Support Agent
Self-service technical support with RAG and escalation
AI Technical Support Agent Overview Self-service technical support with RAG and escalation. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="g
AI for Sports Analytics
Performance analysis and prediction using sports data
AI for Sports Analytics Overview Performance analysis and prediction using sports data. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="gpt-4
AI for Podcast Discovery
Personalized podcast recommendations and highlights
AI for Podcast Discovery Overview Personalized podcast recommendations and highlights. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="gpt-4o
AI for Real-time Language Learning
Conversational AI for interactive language acquisition
AI for Real-time Language Learning Overview Conversational AI for interactive language acquisition. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create(
AI Workflow Automation with n8n
No-code AI workflow automation using n8n and LLMs
AI Workflow Automation with n8n Overview No-code AI workflow automation using n8n and LLMs. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="g
Building AI Writing Assistants
Feature-rich AI writing assistant with style consistency
Building AI Writing Assistants Overview Feature-rich AI writing assistant with style consistency. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mo
AI Pet Care Advisor
Health and care recommendations for pet owners
AI Pet Care Advisor Overview Health and care recommendations for pet owners. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="gpt-4o-mini",
AI Interior Design Helper
Room design suggestions and product recommendations with AI
AI Interior Design Helper Overview Room design suggestions and product recommendations with AI. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mode
AI for Gift Recommendations
Personalized gift suggestion engine for any occasion
AI for Gift Recommendations Overview Personalized gift suggestion engine for any occasion. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="gp
Real-time AI Analytics Dashboard
Building live AI analytics dashboards with streaming data
Real-time AI Analytics Dashboard Overview Building live AI analytics dashboards with streaming data. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create(
Implementing AI Webhooks
Event-driven AI processing with webhook integrations
Implementing AI Webhooks Overview Event-driven AI processing with webhook integrations. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="gpt-4
AI for Fitness Coaching
Personalized workout and nutrition plans with AI
AI for Fitness Coaching Overview Personalized workout and nutrition plans with AI. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="gpt-4o-min
AI for Sentiment-Driven Trading
Using NLP sentiment analysis for financial markets
AI for Sentiment-Driven Trading Overview Using NLP sentiment analysis for financial markets. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="
AI Fashion Styling Assistant
Personalized outfit recommendations based on preferences
AI Fashion Styling Assistant Overview Personalized outfit recommendations based on preferences. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mode
AI Home Security Analysis
AI-powered home security assessment and recommendations
AI Home Security Analysis Overview AI-powered home security assessment and recommendations. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="g
AI for Local Business Discovery
AI-enhanced local business search and recommendations
AI for Local Business Discovery Overview AI-enhanced local business search and recommendations. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mode
AI for Video Game Dialogue
Dynamic NPC dialogue generation with LLMs for games
AI for Video Game Dialogue Overview Dynamic NPC dialogue generation with LLMs for games. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="gpt-
AI Meeting Scheduling Agent
Autonomous meeting scheduling and calendar management
AI Meeting Scheduling Agent Overview Autonomous meeting scheduling and calendar management. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="g
AI in Headless CMS Workflows
Integrating AI into headless CMS content workflows
AI in Headless CMS Workflows Overview Integrating AI into headless CMS content workflows. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="gpt
AI Compliance Monitoring System
Automated regulatory compliance checking with LLMs
AI Compliance Monitoring System Overview Automated regulatory compliance checking with LLMs. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="
AI for Genealogy Research
AI-assisted family history research and document analysis
AI for Genealogy Research Overview AI-assisted family history research and document analysis. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model=
AI Restaurant Recommendation Engine
Location-aware personalized restaurant recommendations
AI Restaurant Recommendation Engine Overview Location-aware personalized restaurant recommendations. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create(
AI Customer Feedback Loop
Continuous product improvement through AI feedback analysis
AI Customer Feedback Loop Overview Continuous product improvement through AI feedback analysis. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mode
AI for Auction Price Prediction
ML-based auction item valuation and bidding strategies
AI for Auction Price Prediction Overview ML-based auction item valuation and bidding strategies. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mod
AI Cooking Recipe Generator
Custom recipe creation based on ingredients and preferences
AI Cooking Recipe Generator Overview Custom recipe creation based on ingredients and preferences. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mo
AI for E-mail Marketing Optimization
AI-powered email subject lines, timing, and personalization
AI for E-mail Marketing Optimization Overview AI-powered email subject lines, timing, and personalization. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create(
AI Budgeting and Finance Advisor
Personal finance optimization with AI recommendations
AI Budgeting and Finance Advisor Overview Personal finance optimization with AI recommendations. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( mod
AI Book Summary Service
Automated book summarization and key insights extraction
AI Book Summary Service Overview Automated book summarization and key insights extraction. Implementation ```python from openai import OpenAI client = OpenAI() def run(query: str) -> str: r = client.chat.completions.create( model="gp