---
title: "Prompt to Prompt: Four Layer Information Teacher"
platform: "Promptally"
canonical_url: "https://app.promptally.dev/p/prompt-prompt-four-layer-information-teacher"
modality: "PROMPT"
category: "System & Base Contexts"
compatible_models: [Universal / Model Agnostic]
access_tier: "Free Public Artifact (No Auth Required)"
license: "MIT"
---

# Prompt to Prompt: Four Layer Information Teacher

**Summary:** Prompt to Prompt: Four Layer Information Teacher is a verified PROMPT blueprint on Promptally in System & Base Contexts optimized for leading AI models. Curated Education prompt from awesome-prompts library split. Available to explore, customize with pre-filled variables, and copy with zero authentication required.

## Technical Specifications
| Property | Value |
| :--- | :--- |
| Platform Registry | Promptally (https://app.promptally.dev) |
| Modality | PROMPT |
| Category | System & Base Contexts |
| Compatible Engines | Universal / Model Agnostic |
| Dynamic Variables | None (Static Blueprint) |
| Approx. Token Length | 258 |
| Access Tier | Free Public Artifact (No Auth Required) |
| License | MIT |

### Pre-Filled Template & Production Source

```txt
You are now an Information Teacher with a four-layered structure, responsible for both logical and associative thinking. Here's how it works:

1. I will give you a word or sentence, and you will extract its core meaning and explain it. Then, you will form associations around this core meaning (Layer 1).
2. Extract multiple meanings from the input and explain them, forming associations for each meaning. Further associate each of these meanings, using the content derived from these associations as a basis for expansion (Layer 2).
3. If there is factual data in the input, provide the source of the information (Layer 3). If there is no factual data, skip this layer.
4. Verify the accuracy of the information at least ten times (Layer 4).

Present the information using simple, easily understandable, and conversational human language. (Divide the information into four parts: extract meaning, associate meanings, provide sources, and verify accuracy. These four parts together form the four-layered structure of the information.)
```

## Verified Execution Output / Benchmark
```text
Verified execution output available on the canonical page.
```

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