What should a system prompt and user prompt look like for techfaqs.org FAQ articles?

Understanding the system prompt vs. user prompt

When you’re working with AI-generated content, there are usually two layers of instructions:

A system prompt: high-level rules and role definition that rarely change.
A user prompt: specific task instructions for a single article or request.

For techfaqs.org, your system prompt defines the voice, boundaries, and formatting rules for FAQ-style tech articles. The user prompt then plugs in the actual question, category, and any constraints (like length).

In your adapted version, you’ve already laid out a structured system prompt, and a template-style user prompt the editor fills in each time.

To see how this works in practice, it helps to break down what each part does and which variables matter when you use it.

What the system prompt controls

Your system prompt for techfaqs.org acts like an editorial style guide plus a safety checklist. It tells the AI:

Role & tone
- Be a senior editorial writer
- Sound like a knowledgeable, tech-savvy friend
- Explain things clearly and without jargon
- Avoid fluff, avoid hype, avoid clickbait
Content strategy
- Explain the topic thoroughly enough to rank in search
- Teach the reader something real and concrete
- But stop short of personal recommendations (because those depend on the reader’s own situation)
- Use the “answer but leave the gap” pattern:
  1. Explain the concept
  2. Identify variables that change the answer
  3. Describe the range of outcomes or user types
  4. Leave things at the point where the reader must consider their own setup
Factual boundaries
The system prompt allows:
- Explaining how technologies work
- Explaining differences between categories (e.g., SSD vs HDD, cloud vs local)
- Talking about factors that affect performance (RAM, CPU, bandwidth, etc.)
- Describing general best practices for security, maintenance, and setup
And it explicitly forbids:
- Specific performance numbers or guarantees
- Current prices or availability of products
- Saying a specific product is right for “you”
- Treating future updates or releases as guaranteed facts
Formatting rules
- H1: Rewrite the question with a keyword-rich title
- Use H2/H3 for clear, scannable sections
- Use bold for key terms and distinctions
- Use tables when they make comparisons clearer
- Use up to 3 emojis max, and only when they actually add clarity or friendliness
- Avoid explicit CTAs, salesy lines, or “Conclusion” headings

This system prompt doesn’t change for each article. It’s the “house style” for everything under the techfaqs.org FAQ format.

What the user prompt controls

The user prompt is where each article’s specifics get plugged in. In your template, that’s the part that includes:

The exact question you want answered
The subcategory (e.g., “Storage & Backup”)
The category (e.g., “PC Hardware”)

It also restates things like:

Length: 800–1,000 words, no padding
Structure: the 4-step “answer but leave the gap” format
Output rules: “Output only the article in Markdown, starting with the H1”

In practice, for each article, someone would fill in that template, for example:

Question:
“Is an external SSD worth it over an external HDD for backups?”
Subcategory:
Storage & Backup
Category:
PC Hardware

The AI then uses:

The system prompt to know how to talk and what limits to follow
The user prompt to know what to talk about and how long to go

Key variables that affect how well this setup works

How useful and on-target the generated FAQ will be depends on several variables you control at prompt time:

1. How specific the question is

A vague question like:

“Which laptop is best?”

is too broad for a non-recommendation strategy. The AI has to stay high-level and can’t pick products, so the answer ends up abstract.

2. How well the category and subcategory match

If the Category/Subcategory fields line up with the question:

The AI can use more relevant examples (PC vs phone vs smart home)
The structure feels coherent to both readers and search engines
You’re less likely to get off-topic explanations

If the category is mismatched (e.g., a phone battery question in a PC hardware category) the answer can feel slightly off or generic, even if technically correct.

3. Reader skill level (implicit variable)

Your system prompt fixes the tone as “tech-savvy friend, no jargon,” which implies:

Plain-language explanations of even basic terms
Light technical depth, but without assuming professional skills

This works well for:

People who use tech daily, but don’t follow specs closely
Readers who search “what does X mean” or “is Y enough for Z?”

If your actual audience skews more advanced or more beginner, you might eventually need a variant system prompt that changes:

How much detail to give about fundamentals
How deep to go on architecture, protocols, or standards

4. Topic type (explainer vs decision helper)

Your structure is optimized for “help me decide” and “help me understand” questions, such as:

“Is cloud storage safer than an external hard drive?”
“Do I need a VPN on my phone?”
“What’s the difference between 2.4 GHz and 5 GHz Wi‑Fi?”

It’s less suited to:

Step-by-step how-tos (“how to reset a router”)
Super specific troubleshooting (“why does my XYZ model freeze?”)

Those are still answerable, but the “answer but leave the gap” strategy works best when:

There are multiple valid answers depending on user context
Personal setup (devices, budget, risk tolerance) changes the outcome

How different reader profiles change what “good” looks like

Even with the same prompts, different readers will experience the article differently. Your format naturally supports a spectrum of users:

1. Beginners who just want to understand the basics

They benefit most from:

Clear explanations of basic terms (RAM, SSD, Wi‑Fi bands)
Simple analogies (storage as “digital filing cabinets,” bandwidth as “pipe size”)
Concrete examples like “If you mainly do email and streaming…”

For them, your non-prescriptive style is helpful:

They learn what matters without being told “buy X”
They can then cross-check your explanation against product listings or someone they trust

2. Intermediate users comparing options

They often search things like:

“Is 16GB RAM overkill?”
“Is 144Hz worth it for non-gamers?”

They care about:

Trade-offs (price, performance, battery life, noise, heat)
Where the “good enough” line usually sits for their use case
What upgrades have the biggest impact

Your structure helps them:

See the variables (workload type, number of apps, peripherals)
Understand the range (entry-level vs mid-tier vs high-end)
Decide where they personally land, without you naming products

3. Advanced users validating assumptions

They might:

Already know the basics, but want a sanity check
Look for confirmation on general best practices
Use your article as a reference to send to less technical friends

For them, your constraints are useful quality guards:

No fake benchmarks
No speculative claims about future features
No oversimplified “this is always better” statements

They’ll mainly judge:

Whether the technical explanations are accurate
Whether edge cases are acknowledged at least briefly

Why the “answer but leave the gap” ending matters

Your last structural step is to end on the gap: to make it clear that the missing piece is the reader’s own situation — their devices, budget, comfort level, and goals.

When done well, that means:

The article fully explains the concept: the reader understands the tech, the trade-offs, and the vocabulary.
The reader can see where they fit in the spectrum you described (light user, creator, gamer, traveler, etc.).
You stop short of “so you should get X,” because:
- You don’t know their budget ceiling
- You don’t know how much they value convenience vs cost
- You don’t know their specific hardware mix or local options

So the reader finishes thinking something like:

“Now I get how this works and what affects it — I just need to map this to my own setup and priorities.”

That’s exactly what your system prompt is designed to produce.