Optical character recognition (OCR) of handwritten text remains a demanding task, particularly once the focus shifts beyond English. In this experiment, we assessed a range of generative AI models on three handwritten text samples—one each in English, French, and Hungarian—to examine cross-linguistic performance. While accuracy was consistently high
We tested the new Sonnet 4.5 model on a demanding academic task: transforming a research paper into a structured 15-slide outline for a conference presentation. The prompt required not only conceptual rigour and narrative coherence but also attention to visual communication, with clear guidance on where charts, tables, and
When using generative AI for structured data collection, the language of the prompt can make a real difference. In our test with Hungarian population statistics, both Claude Opus 4.1 and Sonnet 4 produced accurate outputs when prompted in Hungarian – but with an English prompt, Sonnet 4 generated rounded figures
In this post we examine how Claude Opus 4.1 can be applied to data collection tasks through a prompt-based approach. The model accessed and structured monthly U.S. unemployment rate data from the Federal Reserve Economic Data (FRED) platform for the period January 2000 to December 2024. The results
In this post we explore how Manus AI can be used to collect official housing price index data from the U.S. Census Bureau. The task focused on the Single-Family Houses Sold series, requesting annual figures to be gathered and organised into a clean, structured dataset suitable for further research.
In this short post, we demonstrate how GPT-4o with Deep Research mode can be used to retrieve and structure real-world macroeconomic data directly from authoritative sources. Using a single natural language instruction, the model successfully extracted GDP per capita (current US$) data for Hungary, Poland, Slovakia, and Czechia from the
Ensuring a manuscript perfectly adheres to a journal's unique and often complex formatting guidelines is a familiar, laborious task for every researcher. It represents a final, time-consuming hurdle before submission, where minor errors can lead to delays or even desk rejection. But what if this critical checking process
Can artificial intelligence make academic research more accessible to non-specialist audiences—or even to busy researchers on the go? Gemini’s new ‘Audio Overview’ feature provides a novel way to experience scientific papers: through short, conversational audio summaries. Available even in the free version of Gemini 2.5 Flash, this
This post presents a structured application of the Gemini 2.5 Pro language model for the bilingual summarisation of selected Hungarian Constitutional Court decisions. Working exclusively from an official PDF file containing full-text rulings, the model was prompted to generate parallel summaries in Hungarian and UK English, along with a
In this post, we examine the performance of Manus’s newly updated slide generation tool when applied to a peer-reviewed scientific article. The developers claim recent improvements focused on enhancing the tool’s ability to support academic communication. To test these capabilities, we selected a published study in political science
This post shows you how to connect large language models—such as GPT or Claude—directly to Google Docs using Apps Script. With just a few setup steps, you can send selected text to your preferred AI model, receive improved versions, summaries, stylistic rewrites, or even answers to complex questions—
Integrating Google’s Gemini assistant into Google Docs offers a lightweight yet effective solution for academic and professional editing tasks. Rather than relying on traditional spelling and grammar checkers, users can now issue custom prompts to Gemini—transforming the assistant into a real-time editorial aid capable of producing high-quality revisions
