prompt library

prompt library

Gemini’s ‘Audio Overview’ as a Tool for Open Science: Turning Scientific Papers into Accessible Audio

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

Structured Legal Summarisation of Constitutional Court Decisions from PDF Using Gemini 2.5 Pro

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

Slide Generation from Scientific Articles: Putting Manus’s New Slide Generator to the Test

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

Step-by-Step Guide to Integrating GPT and Claude into Google Docs for Custom AI-Automated Editing

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—

Using Gemini for Grammar and Style Correction in Google Docs

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

Transforming Academic References into Structured HTML with Mistral Le Chat

Academic writing increasingly relies on consistent, machine-readable formatting—especially when preparing manuscripts for digital publication, automated parsing, or citation indexing. This post demonstrates how the Mistral Le Chat can accurately convert plain-text bibliographic entries into structured HTML, generating both inline (short-form) citations and full bibliographic records with cross-linked anchors. This

Automated LaTeX Generation From an Academic PDF: Practical Workflow Using GPT-4.1

Formatting academic manuscripts in LaTeX can be both laborious and technically demanding—especially when converting raw text into structured, publication-ready documents. This post presents a practical workflow using GPT-4.1 to automate manuscript formatting with remarkable precision. With a single, well-crafted prompt, the model generates clean LaTeX code with proper

Prompt-Driven Video Analysis of Animal Behaviour Using Gemini 2.5 Pro in Google AI Studio and via API

Can state-of-the-art multimodal models analyse animal behaviour directly from video footage? In this study, we tested Google’s Gemini 2.5 Pro — both in AI Studio and via its API — to assess whether it can produce structured ethological descriptions based purely on short animal-related videos. By applying a consistent prompt

Prompt-Based Hamster Ovary Cell Segmentation with OpenAI o4-mini-high on Microscopy Images

Recent advancements in multimodal language models have opened new avenues for analysing scientific image data using natural language instructions. In this post, we explore the capabilities of OpenAI’s o4-mini-high model for performing cell segmentation tasks on microscopy images through prompt-based interaction. Rather than relying on traditional computer vision techniques

Zero-Shot Distal Fibula Fracture Detection: Gemini 2.5 Flash Delivers Spot-On Results on German Radiology Reports

Identifying specific clinical findings in unstructured medical texts is a common challenge in healthcare data science. In this post, we benchmark Google’s Gemini 2.5 Flash language model on a zero-shot classification task: detecting the presence or absence of distal fibula fractures in real-world German radiology reports. Without any

Prompt-Based Disease Mention Extraction with DeepSeek-V3: A Biomedical NER Case Study on a Structured NCBI Test Set

Prompt-based methods are becoming increasingly relevant in biomedical text mining, offering flexible ways to perform tasks such as named entity recognition without explicit model training. In this case study, we assess the performance of DeepSeek-V3 on a structured disease mention extraction task using a curated subset of the NCBI Disease