AI Tools: How to Use AI Like The Top 1% (2027)

Watch on YouTube: https://www.youtube.com/watch?v=He-NyJjzWM0

Channel: Nick Saraev

Introduction

The video positions the advantage of top AI users not in possessing superior models but in the way they interact with those models. It argues that habits such as speaking instead of typing, maintaining an always‑on voice assistant, visualizing outputs, and probing AI for weaknesses create a measurable edge in productivity and income generation.

What the video covers

The presenter outlines a set of practical behaviors that separate the top 1 % of AI adopters from the average user. These include using voice dictation for faster input, setting up continuous voice streams that turn meeting speech into actionable tasks, leveraging AI to generate 3‑D visualizations, letting AI interview the user to surface hidden requirements, deliberately asking AI for flaws rather than approval, personally testing model capabilities, and remaining receptive to emerging AI hardware and avatar interfaces.

Step‑by‑step walkthrough

• Talk, don’t type: Replace keyboard entry with voice dictation. The video notes that speaking is 3‑5 × faster than typing and recommends starting with a free dictation tool or a paid option like Hex, training it on your personal vocabulary.
• Always‑on voice assistant: During meetings, keep a microphone open that feeds audio to a frontier LLM (e.g., GPT Real‑Time 2.1). The model transcribes speech and converts it into tasks that can be pushed directly into project‑management platforms such as Notion, Asana, or Monday.
• Visualize with AI: Prompt the model to produce code or assets for 3‑D visualizations using libraries like 3.js, plain HTML, or engines such as Unreal Engine and Blender. Outputs can range from floor plans to animated explainers that make complex data instantly understandable.
• Let AI interview you: Frame a prompt that asks the model to question you about a project’s goals, constraints, and unknowns. This technique surfaces requirements you might have overlooked and helps you verbalize needs more clearly.
• Ask for flaws, not opinions: When reviewing AI‑generated advice, explicitly request potential problems or weaknesses. This counters the model’s natural tendency to agree with the user and yields more balanced, critical feedback.
• Test capabilities yourself: Spend a few minutes giving the frontier model a concrete task you are curious about—e.g., drafting a contract clause, generating a script, or solving a calculation—and evaluate the output directly rather than relying on second‑hand reviews.
• Stay open to new AI forms: Keep an eye on emerging interfaces such as wearable AI pendants, avatar‑based assistants, or novel hardware. The video suggests exploring programs like Maker School for hands‑on training with these evolving tools.

Tools and numbers mentioned

• Free voice dictation tool (unspecified)
• Hex (paid dictation/training tool)
• GPT Real‑Time 2.1 (frontier LLM used for transcription)
• 3.js, HTML, Unreal Engine, Blender (options for AI‑driven 3‑D visualization)
• Notion, Asana, Monday (task‑management destinations for voice‑generated actions)
• Maker School (referenced as a training program for AI business skills)
• Cost estimate for a voice‑assistant system: $1‑2 per day
• Potential earnings reference: $300‑400 per day (cited as an example of what top users might achieve)
• Speaker’s claim: over $10 million earned with AI (presented as an unverified assertion)

Caveats and hype check

While the video presents a compelling framework, several points warrant caution. The claim that the speaker has earned over $10 million using AI is not independently verified and may be exaggerated. Additionally, the recommendation to enroll in Maker School is disclosed as a paid affiliate partnership, which could represent a hype‑driven upsell rather than an unbiased endorsement. The productivity figures ($1‑2 per day for a voice‑assistant setup versus $300‑400 per day potential earnings) are presented as illustrative examples; actual results will depend on individual implementation, industry, and the specific models used.

“The speaker claims to have made over $10 million with AI, a figure that is unverified and may be exaggerated; the video also promotes Maker School as a paid affiliate program, which could represent a hype‑driven upsell.”

Concrete next actions

• Install a free voice‑dictation application or trial Hex; spend time training the software on your jargon and frequently used phrases.
• Configure a continuous audio feed from your meeting environment to a frontier LLM (e.g., GPT Real‑Time 2.1) and set up an automation that posts transcribed action items to Notion, Asana, or Monday.
• Experiment with prompting the model to generate a simple 3‑D scene using 3.js or an HTML‑based WebGL canvas; iterate on the output to refine a visual explanation of a current project.
• Create a prompt that asks the AI to interview you about a upcoming initiative; record the questions and answers to identify any gaps in your planning.
• When you receive AI‑generated advice, explicitly request a list of potential flaws or failure modes before deciding to act on it.
• Select a frontier model you have access to and assign it a small, well‑defined task (e.g., summarizing a contract clause, drafting a tweet, calculating a budget variance); assess the quality and speed of the result.
• Research emerging AI hardware such as voice‑activated pendants or avatar assistants; consider enrolling in a hands‑on program like Maker School if you seek structured exposure to these technologies.