Here's a more organized and formatted list of countries where YouTube doesn't display advertising.
Benin Botswana Burkina Faso Burundi
> i need some really cool tricks you can do with Daniel Miessler's FabricAI (not Microsoft's product called 'Fabric' — fabricAI. the CLI AI toolchain that enables endless options for learning and exploring. where are some git repositories of additional patterns or tricks and tips for using sessions and contexts? | |
Absolutely. Daniel Miessler’s **Fabric** (aka *FabricAI*, not to be confused with Microsoft Fabric or Python’s `fabric`) is a command-line interface (CLI) tool wrapping large language models (LLMs) into an ergonomic structured workflow that enables learning, creativity, and productivity through reusable **patterns**, **contexts**, and **sessions**. It emphasizes *interfaces over infrastructure*, so the magic is in how you structure your interactions. | |
Let’s cover: | |
*** | |
## 🧵 Cool Tricks You Can Do With FabricAI |
You are an expert software architect and project analysis assistant. Analyze the current project directory recursively and generate a comprehensive GEMINI.md file. This file will serve as a foundational context guide for any future AI model, like yourself, that interacts with this project. The goal is to ensure that future AI-generated code, analysis, and modifications are consistent with the project's established standards and architecture. | |
+ Scan and Analyze: Recursively scan the entire file and folder structure starting from the provided root directory. | |
+ Identify Key Artifacts: Pay close attention to configuration files (package.json, requirements.txt, pom.xml, Dockerfile, .eslintrc, prettierrc, etc.), READMEs, folder hierarchy, documentation files, and source code files. | |
+ Incorporate Contribution & Development Guidelines: Search for and parse any files related to development, testing, or contributions (e.g., CONTRIBUTING.md, DEVELOPMENT.md, TESTING.md). The instructions within these guides are critical |
❯ analyze_bill https://www.congress.gov/bill/119th-congress/house-bill/1/text | |
# BILL ANALYSIS: H.R. 1 - Lower Energy Costs Act | |
## METADATA | |
- **Bill Number**: H.R. 1 (119th Congress) | |
- **Title**: Lower Energy Costs Act | |
- **Sponsor**: Rep. Cathy McMorris Rodgers (R-WA) | |
- **Introduction Date**: January 9, 2023 | |
- **Committee**: House Committee on Energy and Commerce |
# Replicating Friday: A Guide to Building an Agentic Home Assistant AI Voice Assistant | |
> condensed and arranged from NathanCu's thread on the HomeAssistant forums: https://community.home-assistant.io/t/fridays-party-creating-a-private-agentic-ai-using-voice-assistant-tools/855862 | |
> i used fabric to grab it and carve it up for me to run it through Gemini for the resulting documentation below for review, as it wasn't obviously documented anywhere and this information is too good to get lost in a forum post. | |
> --@emory | |
## Introduction: Embracing the Agentic AI Philosophy | |
Nathan Curtis's "Friday" project is a deep dive into creating a truly "agentic" AI within Home Assistant, moving beyond simple command-and-control to enable proactive, reasoning, and conversational interactions. This guide distills Nathan's insights, code, and architectural decisions, aiming to provide a playbook for those looking to build a similar sophisticated AI assistant. |
import { customsearch } from '@googleapis/customsearch'; | |
const API_KEY = process.env.CSE_API_KEY ?? ''; | |
const ENGINE_ID = process.env.CSE_ENGINE_ID ?? ''; | |
export async function webSearch({ query }: { query: string }) { | |
console.log('Web Search:', query); | |
const api = customsearch({ | |
auth: API_KEY, | |
version: 'v1' |
UPDATE: This is tested and working on both Linux and Windows 11 used for LlaMa & DeepSeek
Here's a sample README.md
file written by Llama3.2 using this docker-compose.yaml file that explains the purpose and usage of the Docker Compose configuration:
ollama-portal
A multi-container Docker application for serving OLLAMA API.
After creating Aikido, Morihei Ueshiba (often referred to as O-Sensei, or 'Great Teacher') was known for his stringent and disciplined daily routine, which heavily emphasized both physical and spiritual practices. His morning routine, although not detailed to the minute, typically included: | |
1. **Misogi** - A Shinto purification ritual that sometimes involved standing under a cold waterfall or engaging in deep breathing exercises. This was meant to purify the body and spirit. | |
2. **Prayer and Meditation** - Ueshiba dedicated time every morning to prayer and meditation, focusing on harmonizing his spirit with the universe, which was a core philosophy in Aikido. | |
3. **Aikido Training** - He practiced Aikido rigorously every morning. His training was not just a physical exercise but also a form of moving meditation and a way to further understand and develop the principles of Aikido. | |
4. **Farming and Gardening** - Ueshiba also spent time working on his farm. He believed in the value of hard, physical work and s |