ResearchPrompt

*Research a topic...*

# InfoTechPrimer – ResearchPrompt

Below is a **single, reusable, high-precision research prompt** you can use to *systematically get a grip on any InfoTech topic* before writing an **InfoTechPrimer**.

> **Purpose:**
> Produce a *factually grounded, scope-aware, source-anchored research brief* suitable as the direct input for authoring an InfoTechPrimer.

It is designed to work well with:

* General-purpose LLMs
* Research-oriented agents
* Human-in-the-loop review

The prompt is **topic-agnostic**, but forces rigor, boundaries, and source grounding.

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## ResearchPrompt

```
You are conducting foundational research for an InfoTechPrimer.

Topic: <$topic>

The goal is NOT to teach or promote, but to establish a precise, shared understanding
of the topic for experienced IT professionals and AI systems.

Produce a structured research brief that answers the following sections.
Be concise, factual, and source-driven.
Avoid tutorials, opinions, and vendor marketing language.

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1. Canonical Definition
- Provide the most widely accepted definition(s) of the topic.
- If multiple definitions exist, explain why and in which contexts they differ.
- Prefer definitions from standards bodies, original designers, or official specifications.

---

2. Domain Context and Classification
- Which technical domain(s) does this topic belong to?
  (e.g. systems programming, distributed systems, security, AI, quantum computing)
- What *type* of thing is it?
  (e.g. protocol, framework, architectural style, API standard, SDK, language, library)
- At which abstraction level does it primarily operate?

---

3. Historical Origin and Motivation
- Who introduced it and when?
- What concrete problem(s) was it created to solve?
- What existing approaches did it replace, extend, or formalize?

(Only include history that explains intent or constraints.)

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4. Core Concepts and Invariants
- List the essential concepts without which the topic would not make sense.
- For each concept, explain its role in one or two sentences.
- Identify any invariants, guarantees, or formal assumptions.

---

5. Scope Boundaries
- Clearly state what the topic explicitly covers.
- Clearly state what it explicitly does NOT cover.
- Identify common misconceptions or misuses.

This section should prevent overextension by AI systems.

---

6. Practical Implications (Non-Tutorial)
- What design or architectural consequences follow from using this?
- What tradeoffs are inherent?
- What kinds of systems typically depend on it?

Do NOT include step-by-step usage.

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7. Relationship to Adjacent Concepts
- List closely related standards, technologies, or terms.
- For each, explain the relationship (complementary, layered on top, alternative, predecessor).

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8. Authoritative Sources
- List primary, authoritative references:
  - Standards (RFCs, ISO, W3C, IEEE, etc.)
  - Official specifications or documentation
  - Foundational papers
- Include direct links.
- Clearly distinguish primary sources from secondary explanations.

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9. Stability and Maturity Assessment
- Is this topic considered stable, evolving, or experimental?
- Are there competing standards or dominant implementations?
- Is backward compatibility a concern?

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10. Notes for Primer Authoring
- Highlight points that MUST be stated clearly in a primer.
- Highlight areas where ambiguity must be avoided.
- Identify terminology that must be used consistently.

---

Constraints:
- Use precise, declarative language.
- No metaphors or analogies.
- No marketing or opinionated statements.
- Assume a technically literate audience.
- Prefer explicit statements over implied assumptions.
```

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## Why This Prompt Works Well

This prompt is intentionally shaped to:

* **Force scope clarity** (critical for AI agents)
* **Surface invariants and constraints**
* **Separate definition from implementation**
* **Anchor everything in primary sources**
* **Produce output that maps 1:1 to your Primer Authoring Rules**

You can think of it as:

> *A pre-primer that de-risks the primer.*

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## How You’ll Likely Use It in Practice

Typical flow:

1. Run this prompt on a topic (e.g. CUDA, OAuth 2.0, OpenQASM)
2. Review and correct factual issues
3. Collapse the research brief into the Primer schema
4. Apply brand tone + structural rules
5. Publish as an InfoTechPrimer

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