Most AI tools are noise but these 7 are not
2026-10-06T20:39:08Z openrouter_free google/gemma-4-31b-it
The author recommends a curated stack of AI tools to increase productivity and reduce noise. Key recommendations include Claude for writing, Gemini for Google integration, Perplexity for factual research, Whisperflow for voice-to-text, Gamma for design, and NotebookLM for source-grounded research.
The article addresses the common struggle of 'AI tool fatigue,' where users frequently download numerous applications only to abandon them due to a lack of clear utility or overwhelming hype. The author argues that most AI tools are noise and that the key to productivity is not using more tools, but using a curated stack of specialized tools for specific tasks. After testing hundreds of options, the author identifies a core set of tools that handle approximately 90% of their workload and save hundreds of hours of busywork.
The author first breaks down the strategic use of chatbots, arguing that ChatGPT, Gemini, and Claude are not interchangeable. Claude is recommended as the primary 'writer' due to its human-like tone and ability to mimic a user's voice, making it ideal for emails and proposals. Gemini is positioned as the 'Google brain,' best for those integrated into Google Workspace who need to process massive context windows, such as long Gmail threads or large slide decks.
To ensure accuracy and combat hallucinations, the author utilizes Perplexity as a verification layer, specifically for source-based research and fact-checking. For productivity and content creation, Whisperflow is highlighted as a superior voice-to-text tool that cleans up verbal fillers and allows for writing speeds far exceeding typing. For visual communication, Gamma is praised for removing the 'design tax,' allowing non-designers to create professional, branded presentations quickly without manual formatting.
Finally, the author emphasizes NotebookLM for deep research and knowledge management. Unlike general chatbots, NotebookLM operates only on the sources uploaded by the user (PDFs, videos, notes), ensuring that answers are grounded in provided data and properly cited. It further assists in information retention by converting research into quizzes, summaries, or AI-generated podcasts. Collectively, these tools transition the user from random experimentation to a structured, high-efficiency workflow centered on writing, research, transcription, design, and data synthesis.