OpenAI researchers moved beyond it to something called 'Reasoning Scaffolds.'
It forces structured thinking instead of shallow chains.
Works across every major LLM.
Here’s the format you can copy now:
First, why "think step by step" fails.
It tells the model to think.
It doesn't tell the model how to think.
You get surface-level reasoning dressed up as depth.
Confident-sounding outputs with zero structural logic underneath.
Reasoning Scaffolds fix this by forcing the model through a locked sequence before it answers.
Not "think step by step."
But:
→ Decompose the problem
→ Identify what's known vs. unknown
→ Map dependencies between sub-problems
→ Solve bottom-up
→ Verify against the original question
Every step is required. None are skipped.
Here's the actual scaffold format you can copy right now:
"Before answering, work through this sequence:
[DECOMPOSE]: Break the problem into its smallest parts
[KNOWN/UNKNOWN]: What information do I have? What's missing?
[DEPENDENCIES]: Which parts must be solved before others?
[SOLVE]: Work through each part bottom-up
[VERIFY]: Does my answer actually address the original question?
Only then give your final answer."
The difference in output quality is not small.
Standard chain-of-thought on complex reasoning tasks: surface pattern matching that sounds logical.
Reasoning Scaffold on the same task: actual dependency mapping, explicit uncertainty, and self-verification.
The model stops pretending to reason and starts actually reasoning.
Works on GPT, Claude, Gemini, Grok.
Any model with strong instruction following.
The scaffold doesn't rely on model-specific tricks.
It exploits the one thing every frontier LLM has: the ability to follow structured procedures when forced to.
Where this matters most:
→ Complex multi-step math
→ Legal or contract analysis
→ Technical debugging
→ Business strategy with competing tradeoffs
→ Anything where "sounds right" isn't good enough
If the task has real consequences, use a scaffold.
Most people are still writing prompts like it's 2023.
"Be concise." "Think step by step." "You are an expert."
The researchers who actually study this moved on.
Structured scaffolds are what's in the internal docs now.
Copy the format. Use it today. The gap between you and everyone else widens every day you don't.
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Asking AI to "be creative" is the laziest prompt you can write.
And it produces the laziest output.
After 3 years of daily ChatGPT use, I cracked the structure that actually unlocks original, unexpected, usable creative work.
Here's the exact framework 👇
First, understand WHY "be creative" fails.
AI creativity is probabilistic. It defaults to the most statistically common answer.
"Be creative" has no constraints.
No constraints = no creative pressure.
No pressure = average output.
The fix isn't less structure. It's MORE of the right kind.
The 4-part Creative Unlock Structure:
→ FORM: Specify the exact format with one unusual constraint
→ LENS: Give it a specific perspective or voice it wouldn't default to
→ TENSION: Define two opposing forces it must resolve
→ ANTI-PATTERN: Tell it explicitly what it must NOT do
OpenRouter is the most underrated AI tool on the planet.
You just need one OpenRouter account and this specific "Multi-Chat" setup. I give a single prompt to Claude 4.6, Gemini 3.1, and Grok 4.20, then simply pick the best response. It’s the closest thing to a "God-Mode" for AI productivity.
Steal my setup here:
Here’s the hack:
1. Go to OpenRouter 2. Open a new chat 3. Select multiple models (GPT-5.2, Claude, Gemini, DeepSeek, whatever you want) 4. Paste ONE single prompt 5. Hit run
Now you get parallel responses from all of them.
Side by side.
Here’s how I personally use it:
→ For research
I compare reasoning depth.
→ For coding
I steal the cleanest implementation.
→ For writing
I merge the most persuasive parts.
→ For strategy
I look for the model that challenges my assumptions.
After 2 years of using Gemini, I can say that it is the technology that has revolutionized my life the most, along with the Internet.
So here are 10 prompts that have transformed my day-to-day life and that could do the same for you:
1. Research
Mega prompt:
You are an expert research analyst. I need comprehensive research on [TOPIC].
Please provide: 1. Key findings from the last 12 months 2. Data and statistics with sources 3. Expert opinions and quotes 4. Emerging trends and predictions 5. Controversial viewpoints or debates 6. Practical implications for [INDUSTRY/AUDIENCE]
Format as an executive brief with clear sections. Include source links for all claims.
Additional context: [YOUR SPECIFIC NEEDS]
2. Writing white papers
Mega prompt:
You are a technical writer specializing in authoritative white papers.
Write a white paper on [TOPIC] for [TARGET AUDIENCE].
Structure:
- Executive Summary (150 words)
- Problem Statement with market data
- Current Solutions and their limitations
- Our Approach/Solution with technical details
- Case Studies or proof points
- Implementation framework
- ROI Analysis
- Conclusion and Call to Action
I built a personal MBA using 12 prompts across Claude and Gemini.
It teaches business strategy, growth tactics, and pricing psychology better than any $200K degree.
Here's every prompt you can copy & paste:
1. Business Strategy (Claude)
Prompt:
"Act as a strategy consultant. Analyze my business idea using
Porter's Five Forces. Be brutal. Tell me where I'll die,
not where I'll win. Business idea: [YOURS]"
2. Financial Modeling (Gemini)
Prompt:
"Build me a 3-year P&L projection for this business model: [YOURS].
Assume conservative, base, and aggressive scenarios.
Show me which assumptions matter most."
Perplexity is terrifyingly good at competitive intelligence.
If you use these 10 prompts, you’ll see why:
(Bookmark this thread for later)
1/ Map your entire competitive landscape in 60 seconds.
Prompt:
"Act as a competitive intelligence analyst. Give me a full breakdown of [Company X]'s market position right now — pricing strategy, target customers, key differentiators, and recent strategic moves. Cite sources."
Most people Google this for hours.
Perplexity does it in one shot with live data.
2/ Find exactly where your competitor is losing customers.
Prompt:
"Search recent reviews, Reddit threads, and forums from the last 6 months where users complain about [Competitor]. Summarize the top 5 recurring pain points and frustrations."
This is like reading your competitor's support tickets.