Yaqui Ramos AI

Get the Agent and the configuration manual for free here 👇  https://g.co/gemini/share/2cebc9decb09 AI-powered video generation has reached a level of technical maturity where quality is no longer the only determining factor; coherence and precision are now the fundamental pillars. As an AI Agents & Process Automation engineer, I have been exploring the potential of Google Veo and how its integration into automated workflows can transform the creation of visual assets. ​The Importance of a Clear Prompt Architecture ​To obtain professional-grade results from video models, a superficial description is not enough. I have implemented the 3-Layer Architecture to standardize data input: ​ Role Layer: Here we define the technical aesthetics. Specifying lenses, lighting, and camera types allows the model to understand the desired "look" before processing the motion. ​ Action Layer: This is the essence of the narrative. Describing precise camera movements, such as tracki...

As an AI Agents & Process Automation engineer, I know that the biggest challenge in the workspace isn't just having the tools—it's managing the information flow without the "visual noise." ​To truly leverage AI, you need to bridge the gap between your data and the intelligence of models like Gemini. ​Step 1: Connect Gemini to Your Google Workspace ​Before you can automate your tasks, you must enable the connection between your Google account and Gemini. Follow these steps to get started: ​ Ensure History is Active : You must have "Gemini Apps Activity" enabled for extensions to function. ​ Enable Smart Features : Confirm that "Smart features and personalization in other Google products" is turned on in your Gmail account settings. ​ Trigger via Prompt : The easiest way to activate the connection is by typing @ followed by the service name (e.g., @Gmail, @Drive) in your chat. Gemini will guide you through the permission process the first ...

Integrating Gmail with Gemini is one of the most effective ways to optimize email management and automate daily tasks. By connecting your inbox to artificial intelligence, you can process information much faster. ​Here is how to set up this integration and get the most out of it. ​1. Gmail Side Panel Integration ​This option is ideal for working with specific emails you have open in your browser. ​ Access: Open Gmail on your computer and look for the "Ask Gemini" icon in the top right corner. ​ Thread Summaries: You can request an automatic summary of an open email to understand key points without reading the entire history. ​ Drafting Responses: Gemini can draft or suggest coherent responses based on the message context. ​ Task Management: You can directly ask it to extract pending tasks or specific data from an email thread. ​2. Integration via Gemini Chat Platform ​This option allows for complex, cross-inbox searches directly from gemini.google.com . ​ Ac...

Do you feel like you spend too much time managing emails?  Inbox management is often the biggest bottleneck in professional productivity. Today, I am launching my new project on GitHub: Gmail Prompts Library .  I have designed a series of agents and Agent Skills using my proprietary 3-Layer Architecture to turn your inbox into an automated workflow system. ​What is included in this library ​I have selected six critical areas where AI provides the highest immediate value: ​ Email Triage: Automatic classification of conversation threads. ​ Executive Summary: Synthesis of agreements and pending tasks without visual noise. ​ Sales Follow-up: Follow-up automation optimized for conversions. ​ Crisis Resolution: Professional management of business conflicts and relationships. ​ Networking Organizer: Management of contacts and professional relationship tracking. ​ Info Request: Methodical and structured request for resources. ​Benefits of implementing this automatio...

Standing out on freelance platforms like Fiverr doesn't depend solely on the quality of your systems, but on the precision with which you communicate their value. Recently, I applied a series of strategic adjustments to my development gigs that resulted in an increase in the Click-Through Rate (CTR) from 3% to 9%. ​Below, I break down the technical methodology I used to triple this visibility metric. ​1. Title Optimization: Technical Specificity ​A gig's title is the first filter. An ambiguous title generates empty impressions or attracts prospects misaligned with your offer. ​ Eliminate generality: Avoid phrases like "I will create an Artificial Intelligence." The market is saturated with superficial offers. ​ Project technical authority: Position your role accurately. Using precise terms like "AI Agents and Process Automation" attracts corporate clients with serious requirements. ​ Declare the tech stack: If your solution uses n8n, the Gemini API...

Intelligent automation is no longer a luxury; it has become a competitive advantage. Combining the reasoning capabilities of Gemini with the orchestration versatility of n8n allows you to build workflows capable of making real-time decisions. ​In this guide, we will configure a simple yet powerful agent: an automated email classifier that analyzes the sentiment and priority of incoming messages. ​Prerequisites ​An active n8n account (either cloud-hosted or self-hosted). ​A Google Gemini API Key (obtained via Google AI Studio ). ​Workflow Architecture ​The workflow follows this sequential logic: ​ Trigger: Reception of a new email (via Gmail/Outlook). ​ Processing: Sending the email content to the Gemini API. ​ Action: Tagging or automated response based on the model's classification. ​Step 1: Configure the Gemini Credential ​In n8n, go to Credentials > Add Credential . ​Search for Google Gemini API . ​Paste your API Key. This enables n8n to communicate...

Building Gems allows you to transform your user experience in Gemini, turning the AI into a dedicated specialist. This guide details how to structure your instructions to maximize a Gem’s effectiveness using the 3-Layer Architecture. ​1. Role Definition (System Persona) ​The role defines the identity and operational scope of the Gem. It must be precise and limit the field of action to avoid hallucinations or technical deviations. ​ Identity assignment: Clearly define who the Gem is (e.g., "You are a Senior Automation Architect"). ​ Scope limitation: Establish what topics are out of bounds to ensure coherence. ​ Communication style: Specify the tone (e.g., professional, technical, concise) and the required level of complexity. ​2. Chain of Thought (Reasoning Logic) ​This is the internal logic the Gem must follow before generating a response. It ensures the model analyzes the problem in a structured manner. ​ Analysis steps: List the logical steps the Gem must fo...

The rise of Generative AI has transformed how we work, create, and solve problems. However, there is a hidden challenge that many users face: Prompt Engineering . Creating the perfect input to get a high-quality result from tools like ChatGPT, Midjourney, or DALL-E isn’t always easy. ​This is where  PromptBase  comes in. If you are looking to save time and get professional-grade results, it is the undisputed leader in the marketplace for AI prompts. ​What is PromptBase? ​PromptBase is the world’s first marketplace dedicated to buying and selling high-quality, tested AI prompts. Think of it as an "App Store" for AI instructions. Instead of spending hours experimenting with parameters and phrasing, you can browse a massive library of ready-to-use prompts designed to perform specific tasks perfectly. ​Why PromptBase is a Game-Changer ​Whether you are a developer, a digital artist, or a business owner, PromptBase offers several key benefits: ​ Quality Control: Every promp...

Introduction ​The ability to process and act on constantly changing information is what separates a basic agent from an advanced automation tool. In this post, we will look at how to configure a workflow that allows your agents to consume, interpret, and report data in real-time. ​Architecture Components ​Data Source: The origin of the information (third-party APIs, web scraping via tools like Apify, or a data stream in Google Sheets). ​Orchestration Layer: The brain that connects the source to the model (we will use n8n or Make). ​AI Model: The intelligence responsible for processing raw JSON or text (Gemini or Claude). ​Output Layer: Where the agent delivers the analysis (Slack, email, a Google Sheets dashboard, or automatic social media updates). ​Implementation Steps ​Connecting the source: ​Configure an "HTTP Request" node in your automation platform to consume the API endpoint. ​Define the polling frequency based on data criticality. ​Preparing the con...

  In the AI marketplace ecosystem, the difference between a generic prompt and a successful "Agent Skill" lies in the structure. After analyzing my trajectory on PromptBase and optimizing my own assets, I have consolidated a methodology that guarantees precise, professional results for the end-user. ​Core Design Principles ​ Exclude variables in the body: A professional Agent Skill must be self-contained. The user should not waste time editing the prompt; the AI must be configured to extract the necessary information on its own. ​ Prioritize readability: Visual structure is key. Information must always be presented using clear lists, avoiding tables that can fragment the response on mobile interfaces or fast-paced chat sessions. ​ Focus on utility: Every line of the prompt must have a direct purpose that solves a specific problem (SOPs, document analysis, code generation, etc.). ​The 3-Layer Architecture for Agents ​To build agents that truly work, I always apply t...