AFK vs LLM Bench

Move your AI coding sessions from desktop to phone without SSH, VPNs, or exposing your computer to the internet. AFK streams your live terminal session to your iPhone over outbound WebSockets, so it works in most restricted networks where inbound SSH or remote desktop setups are blocked. Use Claude Code, OpenAI Codex, Gemini CLI, OpenCode, or any terminal command on your computer. When you step away, AFK keeps the same session in your pocket so you can monitor progress, approve prompts, type replies, and steer the work from anywhere. Try AFK instantly with the free live demo, or connect your own machine in minutes. WHY DEVELOPERS USE AFK AI coding agents can work for hours, but they still need you for tool approvals, error decisions, direction changes, and quick replies. AFK keeps your agent moving without keeping you at your desk. - Start work on desktop and continue from iPhone - Watch terminal sessions live with GPU-accelerated rendering - Approve prompts and tool calls remotely - Type commands or use precision voice input - Get mobile alerts when your agent needs attention - Works without SSH, VPNs, port forwarding, or remote desktop HOW IT WORKS 1. Install the AFK CLI on your machine 2. Run your agent or terminal command with AFK 3. Open the iPhone app 4. Monitor, approve, and respond from anywhere AFK uses outbound WebSocket streaming, so your computer does not need to accept inbound connections. No router changes. No public ports. No messy network setup. BUILT FOR AI CODING WORKFLOWS AFK works with any terminal command, and is designed for modern AI-assisted development: - Claude Code - OpenAI Codex - Gemini CLI - OpenCode - Custom scripts and long-running CLI tools REAL-TIME TERMINAL STREAMING - Low-latency WebSocket streaming - GPU-accelerated terminal rendering with Metal - Full bidirectional I/O - Automatic terminal resize - Push notifications for agent activity - Smooth terminal experience on mobile SECURE BY DESIGN Your terminal data is end-to-end encrypted. The backend acts as a relay and cannot read your session contents. - End-to-end encrypted terminal streams - X25519 key exchange - AES-256-GCM encryption - TLS 1.3 for transport security FREE TO START Free: - 2 concurrent sessions - End-to-end encryption - 20 voice commands per month Pro: - Unlimited sessions - Unlimited precision voice input - Push notifications when your AI agent needs input - Priority support Start with a 7-day free Pro trial. Refer 3 friends to earn a free month of Pro. AFK is built by Thaker Innovations. Website: https://getafk.dev Support: https://getafk.dev/support Privacy Policy: https://getafk.dev/legal/privacy Terms of Service: https://getafk.dev/legal/terms

LLM Bench is an iOS test bench for developers comparing on-device LLM behavior under real device constraints. Run the same prompt against selected local model targets and compare the evidence before choosing what belongs in your app. LLM Bench focuses on practical signals: load time, first output time, generation time, output speed, memory, thermal state, model readiness, raw output text, failures, and saved run history. Use LLM Bench to: - Compare GPU-capable local model runs on iPhone and iPad. - Run repeatable prompts against selected model targets. - Inspect model output, timing, memory, and thermal state in one place. - Save benchmark runs for later review. - Export benchmark evidence as CSV. - Add models from Hugging Face URLs, direct file URLs, or local imports when the artifact format is supported. LLM Bench is built for technical builders who want a compact measurement tool, not a leaderboard or generic AI chat app. It helps you answer the practical question: which local model behaves well enough on this device for this use case? The free tier includes one completed benchmark run. Subscribing unlocks ongoing benchmarking, saved comparison work, and export workflows. Premium is available as an auto-renewing subscription (monthly or yearly), or a one-time Lifetime purchase. Payment is charged to your Apple ID at purchase; subscriptions renew automatically unless canceled at least 24 hours before the period ends. Manage or cancel anytime in your App Store account settings. Privacy Policy: https://thedandano.github.io/michilotl-studios-docs/apps/llm-bench/privacy/ Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/