Lean AI Tool Stack

A lean AI tool stack is an operating discipline for keeping only the few AI tools that materially support daily or weekly work, while treating the rest as specialists, experiments, or retired tools.

Key points

  • Nate's working stack is intentionally narrow: Claude Code, Vs Code, and Glaido as daily drivers; Codex, Claude chat, Hermes Agent, Perplexity, and Grok as weekly companions [src-053].
  • Specialist tools are not daily work surfaces. Nate uses Key AI, Gpt Image 2, Nano Banana / Imagen 3, HeyGen, ElevenLabs, Apify, Openrouter, and Claude Design only when a specific task calls for them [src-053].
  • Experimental tools stay in the ecosystem without becoming default behaviour. Nate names Gemini / Anti-Gravity, Ollama, and Manifold as tools he watches or tests without building his core day around them [src-053].
  • Graduated tools are tools whose useful features have been absorbed into the user's own system or replaced by better defaults. Nate puts ChatGPT chat, OpenClaw, Cursor, NotebookLM, Poppy AI, Anytype, and Whisper Flow in this bucket [src-053].
  • The point is not tool minimalism for its own sake; it is reducing cognitive overhead so new AI announcements do not constantly reset the user's working system [src-053].

Related entities

Related concepts

Source references

  • [src-053] Nate Herk — "Overwhelmed By AI? Just Copy My Tech Stack" (2026-05-08)

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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