Forget basic prompts. These 20 frameworks make AI reason in layers.

Twenty advanced prompts surfaced on Brazilian Reddit. They don’t ask AI to respond. They force it to reason across cognitive, strategic, systemic, and philosophical layers at once.

What makes these different

Most prompts are one-dimensional. Summarize this. Explain that. Rewrite this cleaner.

These 20 are built around a different assumption: AI reasons better when you give it a cognitive architecture, not just an instruction. You’re not asking for an answer. You’re defining how it should think.

The difference shows up immediately in the output. A standard prompt gets you a competent response. These frameworks produce a response with internal tension, competing angles, and a conclusion that required actual reasoning to reach. That’s a different output category, not just a better version of the same thing.

Think of it this way: a basic prompt is like asking someone to write a report. A cognitive architecture prompt is like assigning them a research team, a devil’s advocate, and a deadline with real stakes. The constraints force rigor. And rigor shows.

The four worth using right now

Cognitive Architecture: Analyze a problem across five layers simultaneously: structural logic, implicit emotion, hidden incentives, systemic dynamics, and second-order risks. End with one integrated synthesis and one operational recommendation. Most people skip this entire layer.

The reason it works is that human decisions usually collapse on one dimension. A founder thinks structurally but misses the emotional dynamics of their team. A manager sees the incentives but misses the second-order consequences. Forcing all five layers into one analysis doesn’t just add information. It reveals where your blind spots actually live.

The Executive Council: Assemble a panel: CEO, military general, philosopher, behavioral scientist, venture capitalist. Each must critique the others before any conclusion appears. Produces perspectives you wouldn’t have thought to ask for.

The key mechanic is the critique requirement. You’re not just getting five perspectives sitting side by side. You’re getting five perspectives that have been forced to disagree with each other. The military general doesn’t just add tactical thinking. They push back on the CEO’s optimism with operational reality. That friction is the point, not a side effect.

Intellectual Compression: Take any complex topic and compress it into five formats: 1 sentence, 1 paragraph, 1 mental model, 1 powerful analogy, 1 operational rule you can actually use. Good for turning research into something usable in a meeting.

Try it with something you’re already working on. Paste in a 2,000-word strategy doc and run this prompt. What comes back is the portable version of your idea. The sentence you can say in an elevator. The analogy that makes the concept land for someone who’s never heard of it. The operational rule that tells your team what to do Monday morning.

Evolutionary Meta-Prompt: Ask AI to optimize your own prompt across five successive generations. Each iteration reduces ambiguity, deepens reasoning, cuts redundancy. The prompt engineers itself.

Generation one identifies what’s vague. Generation two sharpens the structure. By generation four, you’re working with something that would have taken an experienced prompt engineer 45 minutes to build from scratch. Run this before any high-stakes prompt you plan to reuse repeatedly. The compounding effect over time is real.

Use cases

  • 🧠 Big decisions: Run the Multi-Scenario Simulation to model five possible futures for any call, each scored by probability, impact, and reversibility. Especially useful when you’re stuck in analysis paralysis. The scoring forces a preference you didn’t know you had.
  • 📝 Content creation: Use Narrative Engineering to rewrite one idea simultaneously as a manifesto, startup pitch, cinematic story, strategic doctrine, and scientific paper. Same core concept across all five versions. The manifesto version usually contains the best hook. The scientific paper version usually contains the clearest structure. Pull from both.
  • Self-analysis: The Personality Meta-Analysis prompt gets AI to identify your decision style, recurring biases, and behavioral vulnerabilities under pressure, based purely on your writing patterns. Feed it a mix of your emails, strategy docs, and messages. The pattern it finds will be uncomfortable and accurate.

Prompt of the Day

The Executive Council. Here’s the clean English version:

Act as a strategic council made up of: a CEO, a military general, a philosopher, a behavioral scientist, and a venture capitalist. Have each perspective critique the others before generating a final conclusion. Apply this to: [your decision or problem].

Run it before any major business decision. The general will say what the CEO won’t. The philosopher will break what the VC built. Worth the discomfort.

One practical tip after you get the output: ask the council to vote. Which perspective survived the most criticism? Which recommendation held up under pressure from the others? That final vote cuts through the noise faster than reading the full synthesis, and it usually points to the answer you already sensed but couldn’t justify.

Try it today

The original post is in Portuguese but the frameworks translate cleanly. Prompts 11 through 20 go deeper into anti-fragile decision design, cognitive warfare analysis, and ontological deconstruction. Start with the Executive Council prompt and build from there.

If you want to work through the full set efficiently, paste all 20 prompts into a single session and ask AI to rank them by your specific use case. Let it sort them before you start experimenting. That alone saves an hour of trial and error and gives you a personal map of which frameworks actually match how you work. The list exists. The architecture is free. The only thing left is to use it.

Prompts Avançados
by u/Ornery-Dark-5844 in PromptEngineering

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