5 Secret Claude Codes (for smarter thinking)
Most people use AI to go faster. That is not the same as getting smarter.
If you are prompting Claude hoping it will fix something you do not understand, you are training yourself to depend on it, not learn from it. These five phrases flip that. They get Claude to show its reasoning so you actually understand what is happening and come out sharper than when you started.
They are not magic words. They come from real disciplines: reasoning research, cognitive psychology, lean manufacturing, engineering practice, and inversion thinking. Each one matches a different failure mode: tangled logic, hidden leaps in reasoning, symptoms mistaken for causes, murky problem statements, or blind spots when you are too close to the work. I am Mika, a time-rich founder building toward $1M with two people. I use Claude as a thought partner. These are the phrases I use when I want clarity, not just output.
STEP BY STEP
This comes from chain-of-thought style work in language models (Wei and colleagues, 2022): asking for explicit intermediate steps improves reasoning on messy tasks. Use it when everything feels knotted or the same call keeps getting kicked down the road. It forces Claude to slow down and lay out the chain. The real snag almost always shows up earlier than the line you are staring at.
Step by step: [paste your situation or question]THINK OUT LOUD
From cognitive psychology on verbal reporting (Ericsson and Simon): externalizing reasoning makes gaps visible. Use it when you need to check that a plan, argument, or explanation actually holds together. You get the reasoning on the page, not just a polished answer, so you can see where the thinking jumped a rail.
Think out loud before you conclude: [what you are trying to decide or defend]FIVE WHYS
Borrowed from Toyota lean practice: ask "why" repeatedly (often five times) to get past the surface failure to what is actually driving it. Use it when something is broken, flaky, or slower than it should be. By the end you are usually looking upstream at a constraint or handoff, not the symptom you started with.
Five whys on this: [describe the bug, delay, or failure]RUBBER DUCK
From software culture: explain the problem simply, as if to a rubber duck. Often articulating it fixes your own understanding; with Claude, you want it to reflect and poke holes until the story is coherent. Use it when you genuinely do not know what is wrong. Clear beats clever.
Rubber duck this with me. What I'm trying to do: [...] What I expected: [...] What happened: [...]INVERSION
Associated with Charlie Munger and older Stoic-style practice: flip the question and ask what would guarantee failure. Use it when you have been grinding forward and need distance. Instead of only asking how to make it work, ask what would make it fail or what you are not allowed to ignore. That tends to surface risks you have been routing around.
Inversion: what would guarantee this fails? [describe the plan, launch, or bet]Key insight: Speed without understanding compounds. These phrases buy you the opposite: slower output, faster clarity.
Save this for the next time you catch yourself asking Claude to think for you instead of with you.
How to use these codes
On Claude or any other LLM, type the code plus whatever you want to run it on: the thought, topic, or messy situation you are working through. A line like STEP BY STEP: [paste your situation] is enough.
These are not secret codes for Claude. Any capable LLM can follow them because the names come from math, psychology, business, and engineering culture that already show up everywhere in training data.
Here are some related guides to check out: