Practical AI guides: how to use it, what to pick and how to build. No fluff, real examples.
On 30 July 2026 we ran nine types of request through Google Vertex AI and logged the token counts the API returned. A text question: $0.0003. Reading a photo: $0.001. A generated image: $0.04. A ten-minute YouTube video: $0.02. Eight seconds of Veo video: $3.20. The gap between reading and creating reaches a thousandfold — and that gap decides what AI actually costs you.
A token is a chunk of text a neural network works with — neither a letter nor a word. One Russian sentence becomes 7 tokens; the same sentence in English becomes 8, yet has half again as many characters. We break down why non-English text costs roughly twice as much, how input and output tokens are counted separately, and why a long conversation gets pricier with every message.
The bat and ball, the lily pond, the five machines, the double discount — classic puzzles that neural networks failed in 2023. On 30 July 2026 we ran them again, explicitly forbidding the model to reason. All four came back correct. But something more interesting turned up: on a genuinely tangled problem the model simply ignores the ban on thinking — and gets it wrong where it obeys.
We pulled data from Udemy's internal API and Coursera's review pages: 14 courses, 6.2 million enrolments, 557,000 reviews. Udemy's leaders carry 9.61–10.36% negative reviews against Coursera's 1.5–3.5% — and that gap does not mean what it looks like. The verbatim complaints, the numbers, and what to do with them if you're choosing a course.
Everyone teaches role — task — context — format. Nobody teaches what to change first when the answer comes back as mush. We read the reviews of courses with “prompt engineering” in the title and found students asking for exactly this. Inside: a debugging method — symptom, diagnosis, one edit, comparison — plus working prompts you can run right here in the article.
We pulled prices straight from Udemy's internal API and Coursera's pages on 17 July 2026. There is no Udemy discount — the raw JSON says so. A course is €19.99, Coursera Plus is €50/month, and Vanderbilt's specialization needs a paid ChatGPT+ on top: about €70/month to watch video. Plus regional pricing, the cost of the tools themselves, and an honest look at our own price tag.
A randomised controlled trial with 2,263 students: the same online course delivered in English instead of the students' own language pushed dropout from 57% to 71% — while comprehension barely moved. People didn't stop understanding. They left. And believing your English is fine didn't protect you. The study, the country data around it, the honest size of the effect, and what to do about it.
Forty working templates across six categories, plus the thing missing from every course we studied: prompt debugging. We pulled the numbers and the one-star reviews from the biggest prompt engineering courses — they all share the same hole.
An agent is an AI that doesn't just answer but acts: plans steps, uses tools, checks the result. What separates it from a chatbot, where it works, where it breaks — and why one property, checkability, decides everything. With four prompts you can run right here.
An honest look at the free tiers of ChatGPT, Claude and Gemini: where the limits bite, when a paid plan pays off — plus our own price research on AI courses, where €70 a month buys what a free tier already does.
We collected the reviews where paying students accuse course authors of shipping machine-made material, and looked at what actually gave it away. Not one of them used a detector. Plus an honest look at why a detector's percentage proves nothing.
How to use AI at every stage of the job hunt: a CV tailored to the role, a cover letter, interview rehearsal. Four prompts you can run right here in the article, a prompt-debugging ladder, and our own research into the courses that promise to teach this.
An honest look at the prompt engineer role: what the job actually is, where the high-paying ads went, and why courses with “prompt engineering” in the title don't teach prompting. With numbers from our own audit of the course market and working prompts you can run inside the article.
A calm, evidence-based look: what AI actually can and cannot do, which tasks go first, why the loud forecasts don't survive scrutiny — and what we found when we measured the course market that sells you "reskilling" as the answer to this anxiety.
Step by step: a Telegram bot with a model inside, no code — BotFather, a no-code builder, an API key. Plus our own July 2026 pull of the top ChatGPT courses on Udemy and Coursera: why video never teaches the part that decides whether your bot works. Four prompts you can run right here.
Deep research builds a sourced report in minutes. How to brief it, where it fails, and how to verify it — worked through our own study of the AI-course market: 14 courses, 24 reviews, and one number that turned out not to exist.
AI detectors are unreliable and accuse the innocent. Using our own audit of the world's largest AI courses, we show why automated assessment fails — and how to redesign assignments so AI can't do them for the student.
A prompt is your request to an AI in plain words. We break down the Role-Task-Context-Format formula, show before/after examples and give ready templates that improve any answer.
What happens to the text you send an AI, which data you must never paste, and how to work safely with sensitive information. A practical, no-paranoia checklist.
A practical start with AI at work: 8 tasks where it saves time today, the 'draft in a minute' principle, common mistakes and how not to slip up with data.
AI image generation in plain words: how it works, which tools to pick, how to write a prompt for a picture, and what to know about copyright and watermarks.
A step-by-step ChatGPT guide from zero: sign-up, first prompts, 10 practical tasks and the main beginner mistakes.
An honest comparison of the big three AI models: strengths, pricing tiers and which to pick for your tasks — writing, code, search or documents.
Vibe coding means building sites and apps through a dialogue with AI. How it works, which tools to pick (Lovable, Replit, Cursor) and where to start.
AI models confidently invent facts, links and quotes. Why that's inherent to how LLMs work, where the risk peaks, and 4 defence techniques.