Practical lessons and step-by-step guides: how to write, translate, use tools, and build skills. Content oriented toward practical learning and continuous improvement.
A clear, jargon-free guide explaining how search engines work in three steps — crawling, indexing, and ranking — and what that means practically for every blogger and content writer building a real presence online.
Part 2 of the Perplexity series: how to use Deep Research for cited reports, Spaces for organized research projects, Pages for sharing results, file uploads, and Model Council — with a complete workflow for translators and writers.
An honest assessment of Perplexity AI — how it works, how it compares to Google and ChatGPT, a full pricing table, when it’s worth using, and a necessary warning about its 37% citation error rate.
The final part of the Canva series: text-to-video with Magic Media, cross-format conversion with Magic Switch, Canva Code and Sheets, free Affinity tools, and a full comparison table against Adobe Express, Figma, and Midjourney.
A detailed guide to Canva’s AI photo editing tools — Magic Eraser, Magic Edit, Magic Grab, Magic Expand, and Background Remover — with comparison tables and practical examples for each.
Discover what Canva is and how Magic Studio changed the platform — a full comparison of Free vs Pro plans, a table of every AI tool available, and ready-to-use prompts to try immediately.
Two techniques that transform a prompt from a request into a conversation: Role Prompting gives the model a defined professional identity, and Chain-of-Thought makes it think before it answers. With ready prompts combining both techniques, and a complete summary of the series.
Eight post-editing prompts organized by problem type — from naturalness and terminology consistency to cultural localization and register. With a diagnosis table to help you choose the right prompt and a suggested workflow from machine output to final delivery.
Marketing texts need emotional impact transferred, not words translated. Legal texts need literal precision above all else. Each requires a completely different prompt — a practical guide with ready prompts, examples, and a comparison table, with a dedicated section on Transcreation.
Ten prompt engineering mistakes that consistently degrade translation output — not theoretical but drawn from real usage patterns. Each includes a description, a cause, and a ready replacement prompt, with a quick-reference table at the end.
