Yanis Touhami

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...