Yaqui Ramos AI

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 era of artificial intelligence, the concept of "hiring services" has evolved. We no longer just look for human experts to execute a task; we also look for tools and commands (prompts) that allow us to perform that work ourselves more efficiently. ​If you are just starting to integrate AI into your workflow, freelance marketplaces are your best allies. Today, I’ll explain how to navigate two fundamental pillars: Fiverr , for hiring specialized talent, and PromptBase , to acquire the "master key" to your AI results. ​How to Hire AI Services on Fiverr ​Fiverr is not just for graphic design or copywriting; it has become a massive hub for AI specialists. You can delegate everything from creating a custom chatbot to video editing using advanced AI tools. ​To ensure a successful hire, the first step is to use the search filters. Type in specific terms like "AI Automation," "AI Art," or "ChatGPT expert" and filter by verified selle...

  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...