An author describes the process of replacing various daily browser extensions—such as Grammarly and video summarizers—with a single local Large Language Model (LLM). By setting up Ollama to run models like Qwen or Llama on a local machine, they use extensions like PageAssist to bridge the gap between the model and the web interface. This setup enables advanced document analysis and agentic tasks through automation tools rather than simple one-to-one extension replacements.
- Using Ollama as a backend for browser communication via CORS configuration.
- Running models directly in browsers using WebGPU or WebAssembly.
- Integrating LLMs with Python scripts and workflow automation for custom tasks like price tracking.
- Using Ollama as a backend for browser communication via CORS configuration.
- Running models directly in browsers using WebGPU or WebAssembly.
- Integrating LLMs with Python scripts and workflow automation for custom tasks like price tracking.
The author explores how Gemini Scheduled Actions represents a significant shift in Android automation by moving from rigid, trigger-based logic like Tasker to an intent-first architecture powered by Large Language Models. Unlike traditional tools that require programming knowledge and are prone to breaking when UI changes occur, Gemini understands natural language requests and manages complex workflows across devices via the cloud.
Key points:
* Comparison between brittle IFTTT engines and flexible LLM-based automation.
* The benefit of cross-device synchronization through Google accounts.
* Using the desktop web interface for easier setup and access to an Inspiration Gallery.
* Practical use cases including automated SEO idea generation, sports updates, grocery list creation in Google Keep, and email summaries.
* Current limitation of up to 10 active scheduled actions at a time.
Key points:
* Comparison between brittle IFTTT engines and flexible LLM-based automation.
* The benefit of cross-device synchronization through Google accounts.
* Using the desktop web interface for easier setup and access to an Inspiration Gallery.
* Practical use cases including automated SEO idea generation, sports updates, grocery list creation in Google Keep, and email summaries.
* Current limitation of up to 10 active scheduled actions at a time.
The future of work is rapidly evolving, and a new skill set is emerging as highly valuable: building and managing "agent workflows." These workflows involve leveraging AI agents – autonomous software entities – to automate tasks and processes. This isn't simply about AI replacing jobs, but rather about augmenting human capabilities and creating new efficiencies.
The article highlights how professionals who can orchestrate these agents, defining their goals, providing necessary data, and monitoring their performance, will be in high demand. This requires a shift in thinking from traditional task execution to workflow design and management. The ability to do so is becoming a key differentiator in the job market, essentially becoming a "career currency."
The article highlights how professionals who can orchestrate these agents, defining their goals, providing necessary data, and monitoring their performance, will be in high demand. This requires a shift in thinking from traditional task execution to workflow design and management. The ability to do so is becoming a key differentiator in the job market, essentially becoming a "career currency."
This page provides an overview of the 'Missing Semester' course, focusing on the importance of the shell as a powerful tool for computer scientists. It covers motivation, class structure, the basics of navigating and using the shell, and exercises to reinforce learning. The course aims to equip students with practical skills beyond rote memorization of commands, enabling them to automate tasks and solve complex problems efficiently.
OpenClaw is an open-source project that allows users to build and control AI agents. It provides a gateway for building agents and can be integrated with messaging apps such as Telegram. The article details the setup process, capabilities, and potential risks of using OpenClaw.
OpenClaw utilizes "skills" (packages of tools and instructions) and a "SOUL.md" file to define the agent's behavior and personality. The agent stores conversation history to improve its responses over time.
OpenClaw utilizes "skills" (packages of tools and instructions) and a "SOUL.md" file to define the agent's behavior and personality. The agent stores conversation history to improve its responses over time.
Prompts to recreate each piece of the OpenClaw system. Use these with any AI coding assistant. Includes prompts for building a personal CRM, meeting action item tracker, urgent email detection, knowledge base, business advisory council, security council, social media tracker, video idea pipeline, earnings reports, food journal/health tracking, daily briefing, messaging setup, and more.
Eigent is the open source cowork desktop application, empowering you to build, manage, and deploy a custom AI workforce that can turn your most complex workflows into automated tasks. Built on CAMEL-AI's acclaimed open-source project, our system introduces a Multi-Agent Workforce that boosts productivity through parallel execution, customization, and privacy protection.
Anurag Singh details seven small Python scripts designed to automate common tasks and improve productivity on both Mac and Windows machines:
**Script Name** | **Purpose** | **Key Features/Notes** |
|---|---|---|
| **Inbox Cleaner** | Cleans email inbox | Archives or deletes emails older than a specified number of days. Works with IMAP, compatible with most email providers. |
| **S3 Backup** | Backs up files to cloud storage | Uploads files to an S3-compatible storage provider. Minimalist, suitable for daily/weekly backups. |
| **Screenshot Sorter** | Organizes screenshots | Finds screenshots, sorts them by date into a tidy folder structure. Includes a dry-run mode. |
| **Bulk Rename** | Renames multiple files | Renames files using patterns or sequentially. Uses regular expressions for advanced renaming. |
| **Arrange It** | Organizes files into folders | Moves files into categorized folders based on their extension (Images, Docs, Spreadsheets, etc.). |
| **Clipboard Save** | Saves clipboard history | Saves every new clipboard item to a daily text file. Creates a personal history of copied text. |
**Script Name** | **Purpose** | **Key Features/Notes** |
|---|---|---|
| **Inbox Cleaner** | Cleans email inbox | Archives or deletes emails older than a specified number of days. Works with IMAP, compatible with most email providers. |
| **S3 Backup** | Backs up files to cloud storage | Uploads files to an S3-compatible storage provider. Minimalist, suitable for daily/weekly backups. |
| **Screenshot Sorter** | Organizes screenshots | Finds screenshots, sorts them by date into a tidy folder structure. Includes a dry-run mode. |
| **Bulk Rename** | Renames multiple files | Renames files using patterns or sequentially. Uses regular expressions for advanced renaming. |
| **Arrange It** | Organizes files into folders | Moves files into categorized folders based on their extension (Images, Docs, Spreadsheets, etc.). |
| **Clipboard Save** | Saves clipboard history | Saves every new clipboard item to a daily text file. Creates a personal history of copied text. |
A roundup of four lightweight Python utilities that automate common annoyances—sorting your Downloads folder, quickly logging timestamped notes, cleaning tracking parameters from copied URLs, and logging intermittent internet outages—each presented with source code and usage tips.
This blog post details a personal code review tool built around `llm` and `git diff`. It describes installation, how it works, how the author uses it, and its advantages over GitHub's Copilot review tool.
