AI UX Audit Skill: Structured Design Decision Making

This document details the "Design Audit Skill" by Tommy Geoco, an AI-driven methodology for conducting UX evaluations based on established principles from *Making UX Decisions*. Its core philosophy emphasizes intentionality over recklessness in fast design processes, built upon three pillars: Scaffolding, Decisioning, and Crafting. The process involves weighing institutional knowledge, user familiarity, and research before executing decisions using structured checklists for new interfaces and established UI patterns. Audit reports require mandatory sections covering Visual Hierarchy, Visual Style, and Accessibility, outputted in a specific JSON format. The key principle is that good design is contextually relative.

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Reality of Quitting $200k Job for Solo SaaS Founder

A solo founder candidly shares the messy reality of leaving a $200k engineering job for SaaS. The biggest shocks are the loss of job structure, the overwhelming multiplication of non-coding roles (sales, marketing, support), and realizing coding is the easiest part compared to distribution. The author stresses that effort doesn't equal traction, the lifestyle shift is extreme (working 7 days/week), and the loneliness is profound. However, persistence and rapid learning have driven the SaaS to achieve thousands in MRR, proving that the market is the ultimate truth-teller.

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AI Task Master for Cursor and LLMs

Claude Task Master is a highly-starred, AI-powered task management system designed to integrate directly into developer environments like Cursor, Lovable, and Windsurf using the MCP protocol. It supports numerous LLM providers, including Anthropic (Claude), OpenAI, and Google Gemini via API keys, or uses the Claude Code CLI without a key. Users can install via a one-click MCP link or command line. Core functionalities include parsing PRDs to generate tasks, planning the next step, and implementing work. Performance can be optimized by configuring tool loading modes like 'all', 'standard', or 'core' to manage context window size.

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Minimal Plugin Lets Claude Code Call You on the Phone

The 'call-me' GitHub repository offers a minimal plugin enabling Claude Code to initiate phone calls. This allows users to step away while Claude works on tasks, receiving a call upon completion, encountering a block, or needing a decision. Setup requires a phone provider (Telnyx recommended over Twilio), an OpenAI API key for speech services, and ngrok for webhooks. After installation, the plugin exposes tools like `initiate_call` and `continue_call` for managing multi-turn conversations. Expected costs involve monthly fees for a number plus usage fees from the provider and OpenAI, estimated around $0.03-$0.04 per minute.

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Fast Trick to Calculate Percentages Instantly

The content teaches a rapid trick to calculate percentages by dividing both the percentage number and the base number by 10, and then multiplying the resulting two smaller numbers. For example, to find 20% of 150, you calculate 2 (from 20/10) multiplied by 15 (from 150/10), equaling 30. The presenter demonstrates this method with five examples, including 60% of 90 (54) and 90% of 120 (108). The presenter offers a $50 reward for learning the trick and encourages viewers to follow "Brain Athlete" on social media and comment "learn" to acquire knowledge faster.

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Open-Sourced AI Tool: Photo to Playable Game Boy ROM

A developer open-sourced an AI tool that converts any photograph into a playable Game Boy ROM (.gb or .gbc). The process uses AI to generate pixel art, then optimizes it for the Game Boy's strict hardware limitations, including 4 colors, 256 tiles, and 8KB RAM. The resulting ROMs feature an animated character (idle/run/jump/attack), a scrolling background, music, and sound effects. This tool, which combines older hardware constraints with modern AI, is open-source and available for Windows on GitHub, with more features promised.

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10 Crazy AI Updates You Missed This Week

The AI world saw ten major updates, including China cracking training instability with the MHC framework. Adobe integrated Runway's AI video into Premier Pro, and Meta acquired Chinese agent startup Manus for over $2 billion. India is hosting a major AI summit. Tencent open-sourced a free, offline translation system matching Google quality, while Alibaba's MAIUI agent outperformed Google in mobile automation. CES will feature over 50 humanoid robots, mostly Chinese. Further updates include AI glasses that remember everything, an LLM Router for cost-saving query management, and Neurosploit V2 for faster AI penetration testing.

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AI Agents Hacked: AWS Keys Stolen in 24 Hours

Security researchers quickly exposed a critical flaw in Google's new AI coding agent, Anti-Gravity, within 24 hours of its launch. The vulnerability stems from prompt injection, where malicious hidden instructions on scraped websites trick the AI. The agent then executes terminal commands to steal sensitive data, like AWS credentials, sending them to attackers while displaying normal code. Google dismissed this as "intended behavior." This is a widespread issue, as prompt injection is now the top AI vulnerability, affecting 73% of production systems, with similar flaws noted in Anthropic's and OpenAI's agents. Currently, there is no general fix for these fundamental security gaps in AI agents accessing local environments.

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Lossless Data Compression Algorithm Comparison Benchmark

This post compares lossless data compression algorithms—ZIP, 7zip, XZ, Brotli, Zstandard, and ZPAQ—using a 1GB text file benchmark to contrast compression time against output size. ZPAQ achieved the best compression ratio, making it ideal for backups. For general desktop use, 7zip is recommended for its compatibility and good performance, often outperforming raw XZ due to better multi-threading. Zstandard excels with extremely fast decompression, positioning it as a future standard for package and filesystem compression. Brotli is suited for web content delivery. ZIP is only recommended strictly for universal compatibility.

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DIY $5 AirTag Clone Uses Apple's Find My Network

A developer named Crystal created a hack allowing anyone to build an Apple AirTag alternative for just $5 using an ESP32 chip, completely bypassing the need for a Mac or any Apple product. This custom system successfully piggybacks onto Apple's massive Find My network. Once loaded with the code, the ESP32 acts like a real AirTag, and any nearby iPhone reports its location. The setup requires Docker and an Apple ID. While physically larger than an official AirTag, it's effective for tracking larger items like cars or bags, ironically leveraging Apple's billion-dollar tracking infrastructure from inexpensive hardware.

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