Tools & Resources
Open-source starter repos, example projects, and practical guides to help you get started with AI-assisted workflows. Everything is free and built in the open.
Prompt Engineering for Academics
guideA practical guide to crafting effective prompts and providing rich context for research tasks, literature review, data analysis, grant writing, and course material.
Local LLM Setup Guide
guideStep-by-step guide to running local language models with Ollama and LM Studio: installation, model selection, VS Code integration, Python usage, and when to use local vs. cloud.
Building Lecture Slides in HTML with AI
guideA practical guide to building lecture and conference slides as HTML with reveal.js and an AI assistant: setup, your first slide, reusable layouts, updating decks, verifying content, and exporting to PDF.
VS Code for Academics & Students
guideA practical guide to setting up VS Code as your one environment for writing, data analysis, slides, and AI assistance: installation, free Copilot for academics, the extensions worth installing, and how to start with zero coding experience.
GitHub for Academics & Students
A practical guide to GitHub for researchers and students: account setup, Student Developer Pack, cloning repos, pulling updates, and using GitHub with VS Code. No command-line experience required.
HTML Slides Starter
repoA reveal.js starter template for academics — clean CSS theme, example slides, and a guide for building lecture presentations in HTML with AI assistants.
Practical AI for Behavioural Science
repoA complete 13-week university course — lecture slides, lab challenges, datasets, setup guides, and AI tool walkthroughs. Built entirely in HTML and Markdown with AI assistants. Content released week by week, full set available by June.
VS Code Project Templates
A collection of ready-to-go project templates for academics and students — data analysis, literature review, course materials, and more. Open in VS Code and start working with AI assistants immediately.
Urika
repoA multi-agent scientific analysis platform — give it a dataset and a research question, and a team of specialised AI agents design experiments, run analyses, evaluate results, and document everything automatically. CLI, TUI, and dashboard interfaces.