Optimize classroom schedules and resolve conflicts with GPT-4o and Google Calendar — n8n 工作流

高 复杂度⏰ 定时27 个节点🏷️ Project Management作者：Cheng Siong Chin

概览

How It Works This workflow automates competitive intelligence gathering and market analysis for businesses needing real-time insights on competitors, industry trends, and market positioning. Designed for marketing teams, strategy analysts, and business development professionals, it solves the time-intensive challenge of manually monitoring competitor activities across multiple channels. The system schedules regular data collection, fetches competitor information from various sources, employs mul

使用的节点

Send EmailSlackCodeAI AgentOpenAI Chat ModelStructured Output ParserCode ToolAI Agent Tool

工作流预览

Setup Steps
1. Connect Schedule Trigger (set monitoring frequency:
2. Configure Fetch Data node with competitor website UR
3. Add OpenAI API keys to all AI agent no
Prerequisites
OpenAI API account (GPT-4 recommended), competitor data
Use Cases
SaaS competitor feature tracking, retail pricing intell
Customization
Modify AI prompts for
How It Works
This workflow automates competitive intelligence gather
Report Generation & Distribution
Why: Delivers actionable intelligence to decision-maker
Multi-Agent AI Analysis
Why: Delivers expert-level analysis across multiple dim
Automated Data Collection
Why: Schedule trigger initiates competitor data fetchin
Intelligent Routing & Validation
Why: Ensures data quality and prioritizes critical insi
toolparserparsermodeltoolmodelparsertoolparsermodelmodel
⚡
S
Schedule Trigger
W
Workflow Configuration
P
Prepare Scheduling Data
OpenAI Model - Resource …
Resource Analysis Output…
Resource Analysis Agent
OpenAI Model - Operation…
Operations Output Parser
Operations Agent
R
Route by Severity
Notify Critical Conflicts
Email Scheduling Recomme…
Log Results
OpenAI Model - Optimizat…
Optimization Output Parser
Schedule Optimization Ag…
Conflict Score Calculato…
G
Google Calendar Tool
Calculate Historical Pat…
M
Merge Analysis Results
C
Check Auto-Resolution Po…
A
Apply Auto-Resolution
Generate Conflict Report
M
Merge Resolution Paths
Master Orchestrator Agent
OpenAI Model - Master Or…
Master Orchestrator Outp…
27 nodes31 edges

工作原理

  1. 1

    触发器

    工作流由 定时 触发器启动，按预定计划运行。

  2. 2

    处理

    数据流经 27 个节点, connecting agent, agenttool, code。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (27)

SE

Send Email

emailSend

#1
SL

Slack

slack

#2
CO

Code

code

#3
AI

AI Agent

n8n-nodes-langchain.agent

#4
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#5
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#6
CO

Code Tool

n8n-nodes-langchain.toolCode

#7
AI

AI Agent Tool

n8n-nodes-langchain.agentTool

#8

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例，依次点击 工作流 → 新建 → 从文件导入。
  3. 3选择下载的 optimize-classroom-schedules-and-resolve-conflicts-with-gpt-4o-and-google-calendar 文件并点击导入。
  4. 4为每个服务节点配置 凭证（API 密钥、OAuth 等）。
  5. 5点击 测试工作流 验证一切正常，然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴：

{ "name": "Optimize classroom schedules and resolve conflicts with GPT-4o and Google Calendar", "nodes": [...], ...}

集成

agentagenttoolcodeemailsendgooglecalendartooliflmchatopenaimergeoutputparserstructuredscheduletriggersetslackswitchtoolcode

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点27
复杂度high
触发器scheduled
分类Project Management

创建者

Cheng Siong Chin

Cheng Siong Chin

@cschin

标签

agentagenttoolcodeemailsendgooglecalendartooliflmchatopenaimergeoutputparserstructuredscheduletrigger
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