After making nearly thirty free Claude Code tutorial videos, I’ve developed some new perspectives.
Tools Change, Thinking Doesn’t
Tools rotate every few months. Last year’s best pick might be obsolete today. But the logic of orchestrating AI doesn’t change: task decomposition, validation planning, responsibility assignment, risk management.
Directing AI well is its own skill. What I really want to share isn’t which button is where, but the problem-solving approach behind it.
Don’t Dismiss Others’ Tools
Something you learn growing up: when you were young, you’d say a dish “tastes bad.” Now you say “it’s not to my taste.”
The same applies to AI tools. No need to dismiss someone else’s tool or workflow. Often it’s not a question of better or worse — it’s habit, personal philosophy. Some prefer Cursor, some prefer Claude Code, some mix both. If it solves the problem, it’s a good choice.
Stop Letting AI Be a Yes Man
By default, AI is a yes man. Same question, different framing, completely different response.
“What do you think of my business plan?” gets flattery — “This plan is outstanding! The market positioning is precise, the financial projections are reasonable…”
Add “If there are problems, say so directly, don’t flatter me” and you get three specific challenges: the TAM calculation includes non-paying users, the competitive analysis is missing the two biggest players, and the 5x revenue projection in year two lacks supporting evidence.
You need the prompt to turn AI into a critical advisor. This isn’t a tool problem — it’s a user mindset problem.
My Personal Flow for Bulk Data
Here’s a habit of mine: for bulk data processing, I start with Opus to discuss requirements, sample data, and plan the schema. Then I follow the schema using cheap models on SiliconFlow or OpenRouter, processing in parallel via API.
Not everything needs the most expensive model. Using a strong model for planning and a cheap model for execution — that layering itself is a form of thinking.
Pick a Mindset, Not a Side
The AI tool world doesn’t need factions. You don’t need to be a Claude fan or a GPT fan. What you need is a thinking framework that transfers across tools — so when the tool changes, your methodology still works.