🔥 10 Tips for Better Prompting

How to Speak LLM with Clarity, Power, and Precision

Prompting isn’t just typing a question — it’s strategic design.
Whether you’re a startup founder, a content creator, a developer, or just a curious genius, these 10 layered tips will transform your AI chats into precision tools.

1. 🧠 Identity

Define the speaker and audience

LLMs adapt based on who they’re impersonating and who they’re talking to. Define both.

Example:

“You are a visionary product designer speaking to frustrated indie developers.”

Why it works:

Clarity on voice and audience instantly tailors tone, knowledge level, and emotional range.

2. 🎯 Intent

Clarify the purpose

What do you want? Education, persuasion, entertainment, speed, empathy?

Example:

“Summarize this research paper so I can pitch it to a non-technical investor.”

Why it works:

The AI can’t hit the target if you don’t tell it what the bullseye is.

3. 🧱 Format

Specify the structure

You wouldn’t send a haiku to a legal team. Choose your vehicle: list, memo, tweet, script, poem.

Example:

“Give this as a 3-step how-to guide, no intro fluff.”

Why it works:

Formatting reduces ambiguity and speeds up your editing process.

4. 🔍 Context

Give background info

Don’t assume the AI remembers your last input or knows your situation.

Example:

“This is the second landing page after our relaunch failed. Target users are skeptical.”

Why it works:

Context is clarity. It prevents generic, surface-level responses.

5. 🛑 Constraints

Set limits or rules

Word count, tone filters, specific must-haves, or exclusions — keep it tight.

Example:

“Keep under 150 words. No buzzwords. Include the term ‘encrypted sync.’”

Why it works:

Constraints force creativity and sharpen output relevance.

6. 📎 Support

Cite sources or examples

Good prompts offer the model a factual spine. Support makes your prompt powerful.

Example:

“Use examples from real companies like Basecamp, Figma, or Buffer.”

Why it works:

Anchored prompts prevent hallucination and improve believability.

7. 🧩 Perspective

Include viewpoints or values

Layer nuance, emotion, or worldview into the prompt. Give it dimensionality.

Example:

“Include the perspective of an anxious first-time founder and a skeptical investor.”

Why it works:

This invites deeper, more human responses — not robotic generalities.

8. 🎤 Style

Set tone or voice

Match your vibe: bold, humble, edgy, corporate, poetic, cinematic, etc.

Example:

“Write this like a calm, confident therapist guiding someone through panic.”

Why it works:

Voice matters more than words. Great tone = great UX.

9. 🔁 Flow

Guide the progression

Specify how it should unfold: step-by-step, problem-solution, sandwich method, etc.

Example:

“Start with the pain, then offer solution, close with a bold question.”

Why it works:

Strong flow = magnetic clarity. The message sticks harder and lands deeper.

10. 🧠 Meta

Prompt self-reflection

Yes, the AI can critique itself. Ask it to revise or improve its own thinking.

Example:

“Before answering, think about what a better version of this response would include.”

Why it works:

You unlock an LLM’s recursive potential — the “thinking twice” mode.

💡 Final Takeaway

These 10 tips aren’t optional — they’re modular tools. Combine them to create surgical, high-performance prompts for everything from:

• 🚀 Startup ideas
• 🧪 Research summaries
• 🎨 Creative content
• 🧠 Knowledge modeling
• 📈 Strategic planning
• 🤖 Full-scale AI orchestration

This isn’t about gaming the AI.
It’s about communicating like a systems architect.

So next time you prompt?
Don’t just type.
Engineer.