Claudette Echo vs LLM Bench

Claudette is a mobile control plane: live context, agent tree, and a real shell on your phone, pointed at your machine over SSH. Free to download — the core product is included: real PTY, context gauge, agent tree, Take the Wheel, and system voice (Siri / device TTS). Not a chatbot wrapper: your machine, your tmux, your prompt. No subscription. No in-app purchase required. Take the Wheel When you need to intervene — interactive rebase, stuck service, one-off command only you should run — drop into the live shell (same session, same working tree), then hand control back. Works over direct SSH on your own network. Connect with SSH • Direct SSH to any server or Mac — free • Cloud sessions: optional provider login only if you want your own billing (SSH to your Mac needs none) Full terminal, in your pocket Extended keyboard, multi-tab tmux that survives backgrounding, SFTP, Bonjour, Wake-on-LAN. Built for developers on the move • Context gauge — tokens, cost, and warnings • Agent tree — live subagent hierarchy • Real PTY — not chat pretending to be a terminal • Voice input + spoken summaries (system / Siri TTS) • Full command surface of the CLI agent you already run Compatibility Claudette is a general-purpose SSH terminal. It works with the command-line AI coding agents you install yourself, including Anthropic's Claude Code CLI. Claudette is an independent product from Olorin. It is not affiliated with, endorsed by, sponsored by, or otherwise associated with Anthropic PBC. "Claude" and "Claude Code" are trademarks of Anthropic PBC and are used here only to describe compatibility. Whether you're at your desk or on a walk, your AI coding partner — and the control plane — is with you.

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/