Puppeteer is Google’s Node.js library for controlling a headless Chrome browser. Paired with Ollama, it gives you a powerful combination for automating web tasks that require intelligence: scraping content that needs JavaScript execution, extracting structured data from dynamic pages, automating form submissions with AI-generated content, and building screenshot-based visual analysis pipelines. This guide covers the … Read more
WhatsApp is one of the world’s most widely used messaging platforms, and building a bot that connects it to a local LLM opens up practical use cases: a personal AI assistant you can query from your phone, a customer support bot for a small business, a family knowledge base you can ask questions to, or … Read more
Excel spreadsheets are the universal format for business data, and adding local LLM analysis to your Excel workflows means you can summarise reports, classify data, generate insights, and answer questions about spreadsheet content — all without sending your data to a cloud API. This guide covers using Python with pandas, openpyxl, and Ollama to analyse … Read more
Playwright is Microsoft’s modern browser automation library — fast, reliable, and capable of controlling Chromium, Firefox, and WebKit from Python, JavaScript, or TypeScript. Paired with Ollama, it gives you a powerful combination: Playwright handles the browser automation and data collection, while Ollama handles the intelligent analysis, summarisation, and classification of the collected content. This guide … Read more
Jupyter Notebook is the standard environment for data science, machine learning research, and exploratory Python work. Connecting it to Ollama gives you an interactive local AI assistant that understands your code and data — you can ask questions about dataframes, generate visualisation code, explain statistical results, and iterate on analysis with a local LLM, all … Read more
Django is the most popular Python web framework, and adding local LLM capabilities to a Django application is straightforward with Ollama. Whether you want an AI-powered chat endpoint, automatic content summarisation, intelligent search, or document analysis, Ollama provides a local HTTP API you can call from anywhere in a Django project — views, models, management … Read more
Scala is a powerful language that sits at the intersection of object-oriented and functional programming, widely used for data engineering, distributed systems, and backend services. Ollama exposes a simple HTTP API that any Scala HTTP client can call, and Scala’s strong type system lets you model the request and response shapes precisely with case classes. … Read more
Emacs is one of the oldest and most extensible editors in existence, and its Lisp-based extension system makes it a surprisingly capable platform for local AI integration. Connecting Emacs to Ollama gives you AI assistance that runs entirely on your own hardware — inline completions, multi-turn chat, code explanation, and documentation generation — all without … Read more
Neovim has become the editor of choice for a significant portion of the developer community, and its Lua-based plugin ecosystem makes it surprisingly capable as a local AI coding assistant. By connecting Neovim to Ollama, you get code completions, inline chat, and documentation generation that run entirely on your own hardware — no GitHub Copilot … Read more
Haskell is an unusual choice for AI integration work — but that is part of what makes it interesting. Its strong type system, purely functional model, and lazy evaluation make it excellent for building reliable data pipelines, and Ollama’s simple HTTP API is easy to call from any language with an HTTP client. This guide … Read more
