PocketBot: iOS app uses Claude to generate deterministic JavaScript automations from natural language
PocketBot is an iOS mobile automation app that uses Claude (via AWS Bedrock) to turn natural language requests into deterministic JavaScript automations. Users describe what they want in plain language, and Claude writes a self-contained JS script that runs on a schedule in a sandboxed runtime.
Architecture and Claude Usage
The system uses a two-tier approach with Claude models:
- Tier 1 (Claude Haiku): Checks if there's already a matching automation template for the user's request. This is fast and cheap.
- Tier 2 (Claude Opus via Claude Code): When a new automation is needed, Opus runs an agentic loop that writes the JavaScript, tests it in a QuickJS sandbox, resolves the user's actual accounts (Slack channels, Gmail, etc.), and saves the final script. Claude Code essentially functions as the backend developer, writing, testing, and deploying automations autonomously.
Key Concepts
- Pocks: Personal automations that run with your data and are stored on your device
- Mocks: Community-contributed templates for general actions (like "send an email" with no sensitive data). As more people contribute mocks, Tier 2 gets called less frequently, making the system more deterministic over time.
Benefits
- Deterministic execution: No hallucinations, same input produces same output every time
- Cost-effective: JavaScript execution is cheaper than LLM inference on every trigger
- Extensive integrations: 20 integrations at launch including Google suite, Slack, WhatsApp, TikTok, Twitter, Notion, and Todoist
Privacy and Security
- No account system: identity is a random device UUID
- OAuth for all integrations: passwords are never seen by the service
- Mock data used for testing, real user data is PII-sanitized before any LLM sees it
- AWS Bedrock ensures inputs/outputs aren't used to train models
The app is currently available via iOS TestFlight with 800+ testers, open to anyone without an invite needed. An App Store launch is coming soon.
📖 Read the full source: r/ClaudeAI
👀 See Also
Free pharmacovigilance signal detection tool built with Claude Code
A developer used Claude Code to build a free pharmacovigilance platform that analyzes 2.9 million FDA adverse event reports, running statistical signal detection that commercial platforms charge $50K-500K/year for. The tool is hosted for free on HuggingFace.
Claudraband: Terminal Wrapper for Persistent Claude Code Sessions
Claudraband wraps the official Claude Code TUI in a controlled terminal to enable resumable workflows, remote session control via HTTP daemon, and ACP server integration for alternative frontends like Zed or Toad. It requires Node.js/Bun, authenticated Claude Code, and tmux for first-class local workflows.
Persistent Side Panel for Claude Code with Autonomous Content Management
A developer built a TUI panel that sits in an iTerm2 split pane next to the terminal, featuring three fixed panels that Claude autonomously manages to show relevant content like code, diagrams, and status updates.
Visual Prompting Framework Replaces Text Prompts with Single Image for Claude AI
The Carrying Capacity Principle v9 is a bidirectional structural framework that uses a single flowchart image instead of text prompts for Claude AI. It provides structural diagnosis or generative construction plans based on system parameters or goals.