Lifestack vs Alice

Lifestack is a productivity planner that builds your daily schedule around sleep, recovery, and focus instead of empty calendar blocks. It reads wearable and health signals, maps energy peaks and calm periods across your day, and drafts a schedule that places demanding work when you can actually focus.

Most calendar apps treat you like a task executor with unlimited stamina. Lifestack treats energy, meals, and rest as first-class inputs, overlaying focus and calm zones on your calendar so you see when deep work fits and when lighter tasks make sense. That body-first layer is the trade-off: it is narrower than a general project manager, but it connects health data to scheduling decisions most planners ignore.

The product suits professionals juggling meetings and deep work, ADHD users who need external structure around energy swings, and anyone syncing tasks from tools like Trello while trying to protect sleep and meal timing. Apps run on iPhone, Mac, Android, and Chrome, with a desktop Mac download and browser extension for calendar access.

Summon a desktop productivity assistant from any app with a hotkey, without opening ChatGPT in a browser tab. Alice runs natively on macOS, Windows, and Linux, wrapping chat, custom assistants, document memory, and workflow triggers into one OS-level panel.

Where browser chat tools stop at answers, Alice is built around reusable assistants and one-click skills. The Assistant Store ships 50+ personas with 200+ installable skills, and version 5.0 added inline and threaded multi-agent modes plus ACP linking to Claude Code. MCP servers and MCP Apps let an assistant query your CRM or calendar in plain language, while Zapier, Make, n8n, and webhooks handle the follow-up actions.

You can bring your own API keys from OpenAI, Anthropic, Groq, xAI, and other providers, or subscribe to Alice plans that bundle tokens for GPT-5, Sonnet 4.5, Gemini 2.5 Pro, and Grok 4. Saved prompts become keyboard shortcuts, and the app supports voice input, text-to-speech, web search, vision, and local Ollama models.

Greg Rog and Adam Gospodarczyk at Techsistence in Warsaw built Alice after years of running their own automations. The product targets founders, creators, and small teams who want desktop-speed AI that can act on their software stack, not just draft text.