Introduction: The End of Strict Rules
Claude Opus 5 is a new AI model from the company Anthropic. Many people think you need to give it many rules. New research shows something different.
Anthropic removed over 80% of system instructions for Claude Code. Test results did not go down at all. This is a big signal for all users.
The company AI w Biznesie has watched these changes for a long time. We help businesses adjust their prompts to new models. Old methods often do not work anymore.
Why Old Prompting Methods Fail
In the past, people wrote long lists of rules for AI models. They thought more rules would give better results. Claude Opus 5 shows this is a mistake.
When you give a model conflicting instructions, it gets lost. For example: „write full documentation” and „do not add comments” is a conflict. The model does not know what to do.
Too many rules take up space in the model’s memory. Instead of thinking about the task, the model watches the rules. This wastes its abilities.
A Real-World Example
Imagine you tell someone: „clean the room, but do not touch the books.” Then you add: „arrange the books alphabetically.” That person will be confused.
Claude Opus 5 works the same way. Too many rules cause the model to stop working. Or it starts to argue with the user.
What the Data Says
Anthropic tested removing 80% of system instructions. Benchmarks, which are performance tests, did not drop. The model worked just as well.
This is proof that many old rules were not needed. They were a workaround for weaker models. Opus 5 handles tasks without them.
What Changed in Claude Opus 5
The new model has better reasoning. It can think about tasks on its own. It does not need as many hints.
Opus 5 works longer on one task. It handles multi-step processes better. It can change tools while working.
The company AI w Biznesie tests these abilities for clients. We see that the model plans better. It chooses the best path to the goal by itself.
New Control Features
Instead of rules, you can use „effort.” This setting tells the model how much to think. Lower effort means less self-checking.
The model also has built-in „thinking.” This means it thinks out loud before answering. You can see how it reaches conclusions.
Better Work with Tools
Opus 5 uses external tools better. It can decide when to turn them on. It does not lose context memory while doing this.
This is important for programmers. The model can write code, check it, and fix it. All without long instructions.
How to Adjust Your Prompts for the New Model
The most important rule: less is more. Instead of writing long lists of rules, describe the goal. The model will find the path.
Keep your Claude.md file short. Maximum 50 lines. Put only important project information in it.
Avoid repeating the same rules. Instead, write one clear description. For example: „write code that is short and easy to read.”
Modular Skills
Move long instructions to separate files. Claude Opus 5 can read them when needed. This saves space in the main context.
The company AI w Biznesie recommends creating „skills.” These are small modules with specific abilities. The model uses them only when needed.
Automatic Rule Adjustment
Use the /doctor command in Claude Code. This tool checks your rules by itself. It tells you which ones are too long or not needed.
You can also remove all lines that say „do not.” See if the model works better. Often these are the lines that cause problems.
Practical Steps for Tonight
Start by shortening your Claude.md file. Leave only hard limits. For example: „do not use libraries X and Y.”
Lower the effort level by one step. If the model was at 5, set it to 4. See if it makes fewer mistakes.
Run /doctor in your project. This tool will show which rules are too long. You can fix them right away.
Test Small Changes
Do not remove everything at once. Make a backup of old prompts. Test each change separately.
Check if the model answers faster. Check if it stops working for no reason. Check if it argues about every decision.
Collect Feedback
Ask your team to test the new prompts. Ask if the model is less annoying. If yes, that means old rules were the problem.
The company AI w Biznesie runs such tests for businesses. We help find the best balance. Short prompts often work better.
The Future of Working with AI: Fewer Rules, More Trust
New AI models are smarter. They can make decisions on their own. You do not need to tell them every step.
This is a change in work philosophy. Instead of controlling every move, you design the environment. You give the model freedom to act.
AI w Biznesie teaches clients this new method. We see it brings better results. Fewer rules mean more efficiency.
What This Means for Programmers
Programmers can focus on goals, not on rules. The model chooses the best tools by itself. It writes and fixes code on its own.
In long projects, this saves a lot of time. The model does not waste energy watching rules. It puts all its power into the task.
Final Advice
Check your Claude.md file today. Count the lines and remove extra rules. See if the model works better.
If the model is less annoying after shortening prompts, then noise was the problem. Not the model, but your instructions.
Remember: it is not Claude Opus 5 that needs fewer rules. It is your old prompts that need less clutter. Give the model a chance to show what it can do.
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