You open Claude, type a quick request, and the answer comes back flat and generic. So you write more. And more. By message 40 the thing feels dumber than when you started. Sound familiar?
I came across a sharp LinkedIn post where the author broke down 26 Claude rules they learned the hard way, and the core of it lands on six ideas that completely change how the tool behaves for you. What I love is that none of this is magic. It’s just understanding how Claude actually works under the hood. The original poster framed it as lessons earned through trial and error, so you don’t have to repeat the mistakes.
I went through every point this creator shared and pulled out the practical stuff. Here’s the breakdown.
1. Long chats make Claude dumber
This was the one that hit me first. The author explains that every single message reloads the entire conversation. So a 50-message thread means Claude is re-reading all 50 messages before it answers you again.
That bloat is why long sessions feel sluggish and vague.
- The fix: Start fresh sessions often. Don’t drag a giant thread around just because it’s already open.
2. A 500-word prompt isn’t thorough, it’s lazy
This flipped my assumption. Most of us think longer prompts equal better instructions. The expert argues the opposite. If you can’t explain what you want in about 30 words, Claude can’t build it cleanly either.
The creator called “make it better” the worst prompt ever written, and honestly, they’re right. It gives the model nothing to aim at.
Short and specific beats long and vague every time.
3. Dumping 50 files backfires
Here’s a counterintuitive one from the post. You’d think feeding Claude more files makes it smarter. But the author points out that Claude re-reads everything before every answer. That re-reading is the expensive, slow part, not the response itself.
- The fix: Give it 3 sharp, relevant files instead of 50 messy ones. Curate what you feed it.
4. Claude doesn’t remember last week
This contributor made a point that trips up a lot of people. There’s no carryover between sessions. No “as we discussed last time.” Claude doesn’t hold memory of your past chats the way a coworker would.
So where does your context actually live? In your files, not in Claude’s head. Once that clicked for me, I stopped expecting it to pick up where we left off and started building proper reference docs instead.
5. The model selector matters more than your prompt
This might be the most overlooked tip the original poster shared. They note that adaptive thinking is often off by default, and that’s a big reason answers feel generic and shallow.
Before you obsess over wording, the savvy professional suggests you sort out the setup first:
- Switch adaptive thinking on
- Pick the model that fits the task
- Then write your prompt
Same prompt, different setup, completely different quality. That’s the lesson here.
6. Stop typing into a chat, start building a system
The final point is the mindset shift, and it’s the one the author seems most passionate about. Most people quit before they ever move past the basic chat box. But the moment you start uploading your own materials and setting up reusable skills, the whole experience changes.
According to this industry pro, those reusable setups can replace roughly 80% of the stuff you keep retyping over and over. Instead of starting from zero every morning, you’re working inside a system you built once.
Why it matters: the gap between people who find Claude “meh” and people who swear by it usually isn’t talent. It’s whether they treat it like a chat toy or a system they configure.
How to put this to work today
If you want to test these ideas without overthinking it, here’s a simple order to try, based on what the creator laid out:
- Open a fresh session instead of reusing an old thread
- Turn on adaptive thinking and pick the right model
- Trim your inputs down to a few sharp files
- Write a tight prompt under 30 words
- Save the context you reuse into reference files so you’re not retyping it
None of these cost you anything. They just ask you to work with how the tool is built instead of fighting it.
What strikes me about this whole list is how much of it applies to any AI tool, not just Claude. Shorter prompts, cleaner inputs, less reliance on “memory,” and treating the model as part of a repeatable workflow. That’s where the AI world is clearly heading, and the people who get it early look like wizards to everyone else at work.
I pulled out the highlights here, but the original post has the full set of rules and the little details behind each one. Go check out the complete LinkedIn post from the creator to see all of it for yourself.