🤖 AI Summary
A writer describes ditching ChatGPT and most productivity apps in favor of a file-first workflow powered by Claude Code — an AI that reads and writes local files and orchestrates work from a project folder. Instead of policing multiple apps (Notion, Todoist, CRM, Google Keep), they dump notes, todos, specs and emails into .md files and run Claude from the terminal. Custom slash commands (e.g., /network) let Claude search personal files and a network graph to recommend contacts; /weekly synthesizes every file-change into a weekly review and plan; an “overnight assistant” sifts email, PRs, metrics and tickets to produce prioritized next steps and even pull requests. Setup is described simply: local folder + Cursor/Obsidian editor, initialize “claude” in terminal, optional MCP connectors for Slack/Gmail/CRM; Claude Code starts at about $20/month.
For the AI/ML community the piece signals a shift from app-centric UIs to agent-driven workflows where models actively manage personal and company data. Technical implications include richer context (local corpora + web search), new integration patterns (terminal-driven slash commands, Git/Obsidian sync, MCP connectors) and emergent autonomy—agents that can start tasks unsupervised. The author warns of failure modes: immature infra, the “indifferent amplifier” that accelerates bad work, and the risk of endless AI-enabled iteration without honest human critique. Overall, it’s a practical, early blueprint for turning LLMs into persistent, file-backed assistants and corporate agents.
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