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integrationDeepSeek Chat Model node
integrationSlack node

DeepSeek Chat Model and Slack integration

Save yourself the work of writing custom integrations for DeepSeek Chat Model and Slack and use n8n instead. Build adaptable and scalable AI, Langchain, Communication, and HITL workflows that work with your technology stack. All within a building experience you will love.

How to connect DeepSeek Chat Model and Slack

  • Step 1: Create a new workflow
  • Step 2: Add and configure nodes
  • Step 3: Connect
  • Step 4: Customize and extend your integration
  • Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

DeepSeek Chat Model and Slack integration: Create a new workflow and add the first step

Step 2: Add and configure DeepSeek Chat Model and Slack nodes

You can find DeepSeek Chat Model and Slack in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure DeepSeek Chat Model and Slack nodes one by one: input data on the left, parameters in the middle, and output data on the right.

DeepSeek Chat Model and Slack integration: Add and configure DeepSeek Chat Model and Slack nodes

Step 3: Connect DeepSeek Chat Model and Slack

A connection establishes a link between DeepSeek Chat Model and Slack (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

DeepSeek Chat Model and Slack integration: Connect DeepSeek Chat Model and Slack

Step 4: Customize and extend your DeepSeek Chat Model and Slack integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect DeepSeek Chat Model and Slack with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

DeepSeek Chat Model and Slack integration: Customize and extend your DeepSeek Chat Model and Slack integration

Step 5: Test and activate your DeepSeek Chat Model and Slack workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from DeepSeek Chat Model to Slack or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

DeepSeek Chat Model and Slack integration: Test and activate your DeepSeek Chat Model and Slack workflow

Analyze Google Ads search terms with AI and send wastage alerts

Who Is This For?
This workflow is designed for Google Ads advertisers, PPC managers, and marketing teams who want to automatically monitor and optimize their search term performance. It's particularly valuable for those running brand campaigns who need to identify and eliminate wasteful ad spend on non-brand keywords.

What This Workflow Does
This workflow functions as an automated Google Ads performance monitoring and optimization system that:
Fetches search term data from active Google Ads campaigns daily
Filters out brand terms and excluded search terms automatically
Analyzes performance metrics using AI to identify wasteful keywords
Generates optimization recommendations for negative keyword lists
Sends detailed reports through multiple communication platforms
Calculates ad wastage in USD for better budget management

Key Features
Automated Daily Monitoring** – Runs every day at 8 AM to check campaign performance
AI-Powered Analysis** – Uses multiple AI models (DeepSeek, OpenAI, xAI, Anthropic) for intelligent keyword categorization
Performance Metrics Calculation** – Automatically calculates CTR, CPC, conversions, and ad wastage
Multi-Channel Reporting** – Sends reports to Slack, Microsoft Teams, WhatsApp, and Discord
Smart Filtering** – Automatically excludes brand terms and excluded search terms
Cost Analysis** – Calculates total ad wastage in USD for budget optimization
14-Day Data Window** – Analyzes search terms from the past 14 days for comprehensive insights

Requirements & Setup
Google Ads API**: Required for fetching campaign and search term data
AI Model APIs**: DeepSeek, OpenAI, xAI, or Anthropic for keyword analysis
Communication APIs**: Slack, Microsoft Teams, WhatsApp (Rapiwa), Discord for report distribution
Scheduled Trigger**: Configured to run daily at 8 AM
Google Ads Manager and Client IDs**: For accessing specific campaign data

How It Works
Data Collection: Fetches active campaigns and extracts search term data from the past 14 days
Data Processing: Cleans and aggregates metrics by search term, campaign, and ad group
AI Analysis: Uses AI to categorize keywords into wasteful (zero conversions) and review-worthy (has conversions)
Report Generation: Creates structured reports with recommendations and cost analysis
Multi-Platform Distribution: Sends formatted reports to all configured communication channels

Support & Help
WhatsApp**: Chat on WhatsApp
Discord**: SpaGreen Community
Facebook Group**: SpaGreen Support
Website**: https://spagreen.net
Developer Portfolio**: Codecanyon SpaGreen

Nodes used in this workflow

Popular DeepSeek Chat Model and Slack workflows

+8

Analyze Google Ads search terms with AI and send wastage alerts

Who Is This For? This workflow is designed for Google Ads advertisers, PPC managers, and marketing teams who want to automatically monitor and optimize their search term performance. It's particularly valuable for those running brand campaigns who need to identify and eliminate wasteful ad spend on non-brand keywords. What This Workflow Does This workflow functions as an automated Google Ads performance monitoring and optimization system that: Fetches search term data from active Google Ads campaigns daily Filters out brand terms and excluded search terms automatically Analyzes performance metrics using AI to identify wasteful keywords Generates optimization recommendations for negative keyword lists Sends detailed reports through multiple communication platforms Calculates ad wastage in USD for better budget management Key Features Automated Daily Monitoring** – Runs every day at 8 AM to check campaign performance AI-Powered Analysis** – Uses multiple AI models (DeepSeek, OpenAI, xAI, Anthropic) for intelligent keyword categorization Performance Metrics Calculation** – Automatically calculates CTR, CPC, conversions, and ad wastage Multi-Channel Reporting** – Sends reports to Slack, Microsoft Teams, WhatsApp, and Discord Smart Filtering** – Automatically excludes brand terms and excluded search terms Cost Analysis** – Calculates total ad wastage in USD for budget optimization 14-Day Data Window** – Analyzes search terms from the past 14 days for comprehensive insights Requirements & Setup Google Ads API**: Required for fetching campaign and search term data AI Model APIs**: DeepSeek, OpenAI, xAI, or Anthropic for keyword analysis Communication APIs**: Slack, Microsoft Teams, WhatsApp (Rapiwa), Discord for report distribution Scheduled Trigger**: Configured to run daily at 8 AM Google Ads Manager and Client IDs**: For accessing specific campaign data How It Works Data Collection: Fetches active campaigns and extracts search term data from the past 14 days Data Processing: Cleans and aggregates metrics by search term, campaign, and ad group AI Analysis: Uses AI to categorize keywords into wasteful (zero conversions) and review-worthy (has conversions) Report Generation: Creates structured reports with recommendations and cost analysis Multi-Platform Distribution: Sends formatted reports to all configured communication channels Support & Help WhatsApp**: Chat on WhatsApp Discord**: SpaGreen Community Facebook Group**: SpaGreen Support Website**: https://spagreen.net Developer Portfolio**: Codecanyon SpaGreen
+3

Turn Ideas into Movies with DeepSeek, RunwayML, ElevenLabs & Creatomate

How It Works Story Generation – Your idea is transformed into a narrative split into scenes using DeepSeek LLM. Visuals – Each scene is illustrated with AI images via Replicate, then animated into cinematic video clips with RunwayML. Voice & Music – Narration is created using ElevenLabs (text-to-speech), while Replicate audio models generate background music. Final Assembly – All assets are merged into a professional video using Creatomate. Delivery – Everything is orchestrated by n8n, triggered from Slack with /render, and the final video link is delivered back instantly. Workflow in Action Trigger from Slack Type your idea with /render in Slack - the workflow starts automatically. Final Video Output Receive a polished cinematic video link in Slack. Creatomate Template ⚠️ Important: You must create your own template in Creatomate. This is a one-time setup - the template defines where the voiceover, music, and video clips will be placed. The more detailed and refined your template is, the better the final cinematic result. Required APIs To run this workflow, you need accounts and API keys from the following services: DeepSeek – Story generation (LLM) Replicate – Images & AI music generation RunwayML – Image-to-video animations ElevenLabs – Text-to-speech voiceovers Creatomate – Video rendering and templates Dropbox – File storage and asset syncing Slack – Workflow trigger and video delivery Setup Steps Import the JSON workflow into your n8n instance. Add your API credentials for each service above. Create a Creatomate template (only once) – define layers for visuals, voice, and music. Trigger the workflow from Slack with /render Your Story Idea. Receive your final cinematic video link directly in Slack. Use Cases Automated YouTube Shorts / TikToks for faceless content creators. Scalable ad creatives and marketing videos for agencies. Educational explainers** and onboarding videos generated from text. Rapid prototyping** of cinematic ideas for developers & storytellers. With this workflow, you’re not just using AI tools – you’re running a full AI-powered studio in n8n.

Smart RSS News Alert System with DeepSeek AI and Slack Notifications

How it works This workflow fetches articles from any RSS feed, processes them with an AI model (DeepSeek), and sends only the most relevant alerts directly to Slack. Normalizes and deduplicates RSS items Extracts article text and cleans HTML Summarizes and classifies with AI (sentiment + flags) Filters out irrelevant news Sends real-time alerts to your Slack channel Setup steps Add your Slack Bot Token (via Slack API) Add your DeepSeek API Key Import this workflow into n8n Deploy and start receiving smart news alerts in Slack Use case Perfect for tracking AI, startups, finance, and tech industry news without the noise.

Build your own DeepSeek Chat Model and Slack integration

Create custom DeepSeek Chat Model and Slack workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Slack supported actions

Archive
Archives a conversation
Close
Closes a direct message or multi-person direct message
Create
Initiates a public or private channel-based conversation
Get
Get information about a channel
Get Many
Get many channels in a Slack team
History
Get a conversation's history of messages and events
Invite
Invite a user to a channel
Join
Joins an existing conversation
Kick
Removes a user from a channel
Leave
Leaves a conversation
Member
List members of a conversation
Open
Opens or resumes a direct message or multi-person direct message
Rename
Renames a conversation
Replies
Get a thread of messages posted to a channel
Set Purpose
Sets the purpose for a conversation
Set Topic
Sets the topic for a conversation
Unarchive
Unarchives a conversation
Get
Get Many
Get & filters team files
Upload
Create or upload an existing file
Delete
Get Permalink
Search
Send
Send and Wait for Response
Update
Add
Adds a reaction to a message
Get
Get the reactions of a message
Remove
Remove a reaction of a message
Add
Add a star to an item
Delete
Delete a star from an item
Get Many
Get many stars of autenticated user
Get
Get information about a user
Get Many
Get a list of many users
Get User's Profile
Get a user's profile
Get User's Status
Get online status of a user
Update User's Profile
Update a user's profile
Add Users
Create
Disable
Enable
Get Many
Get Users
Update

FAQs

  • Can DeepSeek Chat Model connect with Slack?

  • Can I use DeepSeek Chat Model’s API with n8n?

  • Can I use Slack’s API with n8n?

  • Is n8n secure for integrating DeepSeek Chat Model and Slack?

  • How to get started with DeepSeek Chat Model and Slack integration in n8n.io?

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