Building a Deep Seek AI SMS Agent in Under 10 Minutes
In the rapidly evolving landscape of AI technology, Deep Seek emerges as a formidable alternative to traditional models like ChatGPT. This tutorial aims to take you step-by-step through the process of creating a Deep Seek powered SMS agent. The objective of this AI agent is to efficiently respond to inquiries, particularly for various niches such as restaurant staff members.
What You Will Learn
While this video doesn't delve deeply into the fundamentals or advantages of Deep Seek, it does provide practical solutions on leveraging the latest AI tools for potential monetization. At the core, the focus lies in utilizing Deep Seek's capabilities to automate responses via SMS.
The tutorial will primarily utilize three platforms:
Deep Seek - The AI model which powers the engine behind our agent.
Make.com - This platform integrates our various components.
Hexa Systems - A white-labeled version of Go High Level aimed at providing user-friendly automation solutions.
Although alternative options such as Twilio could be utilized instead of Hexa Systems, the latter is favored for its all-in-one functionality.
Understanding the Automation Process
At the heart of this AI-driven SMS agent lies a simple automation structure. Incoming SMS messages will trigger responses to be processed either through Deep Seek or allow for direct replies.
Receiving SMS: When an SMS is received, it initiates an automated workflow.
Triggering the AI: The incoming message can either warrant a reply from customer queries or a generative response from Deep Seek itself.
Web Hook Integration: Utilizing Make.com, the captured SMS is sent to a designated web hook URL, facilitating interaction with Deep Seek.
Setting Up Your Environment
To get started, you’ll need to set up an account on Gro Cloud, which is integral for accessing Deep Seek's API keys amidst current restrictions. The Gro Cloud platform provides a free gateway to interact directly with Deep Seek, making it an optimal choice during these times.
Building the SMS Agent Workflow
Once your environment is set, the following steps illustrate the process of establishing your SMS agent:
During the setup process, it's noted that Deep Seek may include unnecessary thought processes within its output. This can clutter the responses unless handled appropriately. A nuanced coding solution is required to parse out only the essential output generated by Deep Seek.
Demonstration
In a live demonstration, sending a sample query through SMS showcases the entire workflow in action. The system promptly receives the message, processes it via Deep Seek, and returns a structured response within moments.
Expanding Capabilities
This foundational setup not only establishes a working Deep Seek SMS agent but can be easily adapted for varying niches. Whether for customer service, information dissemination, or lead generation, the possibilities are endless.
To dive deeper and fine-tune your skills in building such agents, joining the Automation Incubator community could provide beneficial resource access and engagements. With over 22,000 members, the community serves as a platform for collaboration where users can share wins and obstacles encountered during the automation journey.
Conclusion
Deep Seek offers a notable upgrade to traditional AI methodologies with its efficiency and cost-effectiveness. As businesses look to leverage AI for enhanced engagement and operational efficiency, setting up an SMS agent using Deep Seek stands to be a game-changer in the automation space. Equip yourself with the right knowledge, hone your skills, and capitalize on the opportunities that lie ahead in AI automation.
Part 1/7:
Building a Deep Seek AI SMS Agent in Under 10 Minutes
In the rapidly evolving landscape of AI technology, Deep Seek emerges as a formidable alternative to traditional models like ChatGPT. This tutorial aims to take you step-by-step through the process of creating a Deep Seek powered SMS agent. The objective of this AI agent is to efficiently respond to inquiries, particularly for various niches such as restaurant staff members.
What You Will Learn
While this video doesn't delve deeply into the fundamentals or advantages of Deep Seek, it does provide practical solutions on leveraging the latest AI tools for potential monetization. At the core, the focus lies in utilizing Deep Seek's capabilities to automate responses via SMS.
Tools and Platforms Needed
Part 2/7:
The tutorial will primarily utilize three platforms:
Deep Seek - The AI model which powers the engine behind our agent.
Make.com - This platform integrates our various components.
Hexa Systems - A white-labeled version of Go High Level aimed at providing user-friendly automation solutions.
Although alternative options such as Twilio could be utilized instead of Hexa Systems, the latter is favored for its all-in-one functionality.
Understanding the Automation Process
At the heart of this AI-driven SMS agent lies a simple automation structure. Incoming SMS messages will trigger responses to be processed either through Deep Seek or allow for direct replies.
Part 3/7:
Triggering the AI: The incoming message can either warrant a reply from customer queries or a generative response from Deep Seek itself.
Web Hook Integration: Utilizing Make.com, the captured SMS is sent to a designated web hook URL, facilitating interaction with Deep Seek.
Setting Up Your Environment
To get started, you’ll need to set up an account on Gro Cloud, which is integral for accessing Deep Seek's API keys amidst current restrictions. The Gro Cloud platform provides a free gateway to interact directly with Deep Seek, making it an optimal choice during these times.
Building the SMS Agent Workflow
Once your environment is set, the following steps illustrate the process of establishing your SMS agent:
Part 4/7:
Setting the Trigger: Configure your Hexa System to listen for incoming messages.
Webhook Configuration: Create a webhook in Make.com to serve as an intermediary between your SMS and Deep Seek.
Message Handling:
If an SMS is received, the system will pass the content to Deep Seek for processing.
Deep Seek produces a response based on the input it receives.
Addressing Output Concerns
Part 5/7:
During the setup process, it's noted that Deep Seek may include unnecessary thought processes within its output. This can clutter the responses unless handled appropriately. A nuanced coding solution is required to parse out only the essential output generated by Deep Seek.
Demonstration
In a live demonstration, sending a sample query through SMS showcases the entire workflow in action. The system promptly receives the message, processes it via Deep Seek, and returns a structured response within moments.
Expanding Capabilities
This foundational setup not only establishes a working Deep Seek SMS agent but can be easily adapted for varying niches. Whether for customer service, information dissemination, or lead generation, the possibilities are endless.
Join the Community
Part 6/7:
To dive deeper and fine-tune your skills in building such agents, joining the Automation Incubator community could provide beneficial resource access and engagements. With over 22,000 members, the community serves as a platform for collaboration where users can share wins and obstacles encountered during the automation journey.
Conclusion
Deep Seek offers a notable upgrade to traditional AI methodologies with its efficiency and cost-effectiveness. As businesses look to leverage AI for enhanced engagement and operational efficiency, setting up an SMS agent using Deep Seek stands to be a game-changer in the automation space. Equip yourself with the right knowledge, hone your skills, and capitalize on the opportunities that lie ahead in AI automation.
Part 7/7:
Stay tuned for more tutorials as the landscape continues to evolve, bringing new opportunities and challenges within the AI realm.