Yanis Touhami

Ever stared at a blank page, willing words to appear like magic only to end up more frustrated than inspired? You are not alone. Whether you are an aspiring writer, a content creator juggling a million ideas, or someone who just wants to banish the dreaded blank page for good, this post is your secret weapon. Today, we are diving into advanced prompting techniques that will transform your writing from stale to stellar, one clever prompt at a time. No, you do not need to be a tech genius to do this. Think of prompts like a roadmap for your creativity. The better the directions, the smoother the journey. How to use AI for creative writing By the end of this post, you will have five actionable techniques to try immediately, plus a toolkit of resources to keep your creative juices flowing. Let us get started. Why Advanced Prompting Matters for Creative Writing AI is not here to replace writers. It is here to collaborate. The difference between a basic prompt and an advanced one is like th...

For marketing professionals, martech users, CDP users, and business leaders The customer experience is no longer a straight line it is a rollercoaster. Ups and downs, twists and turns, and moments of pure exhilaration define the journey. To navigate this ride, businesses are turning to Customer Data Platforms (CDPs) powered by Artificial Intelligence. But how do we ensure this thrill ride is safe, ethical, and compliant with regulations like the EU AI Act? A rollercoaster of AI-driven customer experiences, thrilling and ethical. The EU AI Act is not just a set of rules it is a framework for trust. It ensures that AI systems are transparent, fair, and respectful of user privacy. Integrating AI with CDPs under this framework means we can innovate without compromising ethics. The goal is to enhance customer insights and personalization while staying within the guardrails of compliance. The Foundation: 3 Industry Techniques for AI in CDPs Predictive Analytics Predictive analytics is the ba...

Audience: Beginner developers, AI practitioners, students, and professionals looking to upskill Python is more than a programming language. It is a gateway to innovation, a tool that powers the artificial intelligence revolution, and a companion for anyone willing to dive into the world of coding. From the earliest days of its creation in 1991 by Guido van Rossum, Python has grown to become the go-to language for AI and machine learning. Its simplicity, readability, and vast ecosystem of libraries make it the preferred choice for developers and researchers alike. Today, Python is the backbone of many large language models, including those developed by Mistral AI. Its versatility allows it to handle everything from data analysis to web development, making it an indispensable skill for anyone looking to thrive in the tech world. A retro explorer’s journey to Python’s holy grail Join me on a 14-day quest to uncover the fundamentals of Python. This is not just about learning a new language...

For AI practitioners and experts guiding their teams The early days of the telegram were defined by brevity. Every word cost money and every character counted. Operators developed shorthand techniques to convey complex messages in as few words as possible.  WM, RRR, GA, DEL, these were not just abbreviations they were a system a way to encode entire messages into tiny packets of information.  Today as we build and interact with AI we face a similar challenge. Every token counts and every prompt can either save resources or waste them. I recently revisited those old telegram techniques and asked myself what if we applied the same principles to AI workflows The result was a simple yet powerful system for managing tasks and updates with minimal input. Token Labs: Token-Saving Telegram AI Hacks Here is an example of how it works: CODB stands for connect to Notion tasks. This command tells the AI to link up with your task management system and prepare for updates. No need for long ...

For young freelance professionals, students, or working professionals willing to learn AI on the cheap The AI revolution is here, but it does not have to cost you a fortune. In fact, you can build a professional grade workflow for free if you are intentional about the tools you use and how you use them. The secret lies in moving from being a casual user to a precise, intentional operator. This article is your guide to maximizing AI impact without spending a cent, complete with workflow examples and a curated list of links to get you started. The Free AI Toolkit: Your Foundation for Success Building a stack allows you to automate repetitive tasks and streamline your workflow. Focus on these core categories where free tiers are generous and effective. But first, let’s address the elephant in the room: not all free AI tools are created equal. While ChatGPT and Claude are popular choices, Vibe by Mistral stands out for its efficiency and token optimization, making it a strong contender for...

Ever asked an AI a question and gotten an answer so vague it left you scratching your head? You’re not alone. AI can sometimes feel like a magic black box—you put in a question, and poof , out comes an answer. But how did it get there? And more importantly, how can you make it better? Enter Chain-of-Thought (CoT) prompting , the game-changer in AI interactions. Think of it like teaching a friend how to solve a math problem. Instead of just giving them the answer, you ask them to show their work . Suddenly, the process becomes clearer, mistakes are easier to spot, and the final answer makes a whole lot more sense. In this post, we’ll dive into what CoT prompting is, why it’s a big deal, and how you can use it to get smarter, more reliable answers from AI, whether you’re a blogger, a student, or just someone who loves tinkering with tech. And yes, no, you don’t need to be a rocket scientist to make it work! What Is Chain-of-Thought Prompting? Chain-of-Thought prompting is a technique t...