This Is The EASIEST Way to Automate Any Task with DeepSeek

🚀 Gumroad Link to Assets in the Video: https://bit.ly/3Euy18F 👉🏼Join the Early AI-dopters Community: https://bit.ly/3ZMWJIb 📅 Book a Meeting with Our Team: https://bit.ly/3Ml5AKW 🌐 Visit Our Website: https://bit.ly/4cD9jhG In this video, I show you how to use a brand-new Make.com module designed for DeepSeek – featuring both the DeepSeek Chat model and the DeepSeek R1 model – to build an AI-powered email drafting automation that runs for free. I will guide you through where to find the module, how to set it up, and how to create an automation that integrates Gmail with DeepSeek. This workflow monitors your incoming emails, checks your token balance, classifies email content, drafts responses with multiple chat completion steps, and even proofreads and formats the reply before saving it as a Gmail draft. ⏳ TIMESTAMPS 0:00 – Intro: Overview of automating workflows using Deep Seek on Make.com. 0:08 – Module Intro: Introducing the native Deep Seek module (not Open Router). 0:16 – Workflow Setup: Overview of API key setup, model selection, and prompt configuration. 0:25 – Make.com Scenario: Creating a new scenario and accessing Deep Seek AI. 0:45 – Module Options: Choosing between chat completions, model listings, balance checks, or API calls. 1:00 – API Key: How to obtain and enter your API key from Deep Seek. 2:00 – Model Settings: Selecting parameters for Deep Seek Chat vs. Reasoner. 2:25 – Prompt Configuration: Adding system or user prompts for generating responses. 3:06 – Module Testing: Running the module and checking the JSON output. 3:54 – Email Automation Intro: Overview of automating email classification and response drafting. 4:37 – Gmail/Outlook Integration: Authenticating email accounts and setting up filters. 6:17 – Automation Start: Selecting the first email and monitoring the balance. 7:09 – Email Classification: Determining if a response is needed based on email content. 8:43 – Drafting Response: Generating a reply (including handling meeting requests) and converting it to HTML. 11:27 – Final Adjustments: Checking the balance and verifying output consistency. 12:48 – Gmail Draft: Creating a final email draft with proper sender, subject, and formatted content. 15:02 – Email Watch Setup: Configuring the module to monitor incoming emails. 16:15 – Additional Modules: Running extra completions and filters to refine responses. 20:29 – Final Output: Completing the HTML conversion and final draft creation. 21:38 – Scenario Settings: Setting the automation frequency and summarizing the workflow. 22:27 – Conclusion: Recap, cost-saving benefits, and additional resource links. #DeepSeek #DeepSeekR1 #MakeModule #EmailAutomation #DeepSeekAutomation #AIAutomation #ChatGPTDeepResearch #MakeDotCom #AIWorkflow #PromptEngineering