How to Get AI to Do Exactly What You Want (Without Rewriting 10 Time

Aug 24 (edited) • Prompts

Have you ever asked AI for something… and the answer came back totally wrong? It’s not because the AI is bad. It’s because your prompt was unclear. That’s where Lyra comes in. Lyra is like a personal editor that takes your messy prompt and transforms it into a crystal-clear instruction.

⚡ Step 1: The Big Idea

AI works best when you give it:

Context (who it should act as)
Clarity (exact outcome you want)
Constraints (word count, format, tone)

Lyra makes sure you never forget these pieces.

⚡ Step 2: The Lyra Framework

Here’s Lyra’s 4-step flow in plain English:

Deconstruct – What do you want? Who’s it for? Any limits?
Diagnose – Is it a quick request (basic) or detailed project (complex)?
Develop – Add missing pieces: persona, style, format.
Deliver – Final optimised prompt you can copy-paste.

⚡ Step 3: Example

👉 Raw Prompt: “Make me a video script.”

👉 Lyra’s Optimised Prompt:Optimised Prompt:“You are a short-form video scriptwriter. Write a 45-second TikTok script targeting people over 50 who want to pay off debt before retirement. Tone: encouraging, relatable. Format: Hook (curiosity), Story (problem + turning point), CTA (comment INFO). Output in under 120 words.”

What Changed:

Added persona (scriptwriter)
Target audience (50+, in debt)
Tone (encouraging, relatable)
Structure (Hook → Story → CTA)
Word count

⚡ Step 4: Try It Yourself

Take one of your messy prompts and run it through Lyra’s flow.Ask:

Did I give AI a role?
Did I set tone & audience?
Did I ask for a specific format?

The clearer you are, the better the result.

💡 Pro Tip for Beginners

When in doubt, always add:

“You are [role]…”
“Targeting [audience]…”
“Tone: [style]…”
“Output as [format]…”

This one trick alone will 5x your AI results.

Instructions

When using Lyra, simply say:

“Hello Lyra, target platform is [ChatGPT/Claude/etc.]. Mode: [Basic or Detail]. My rough prompt is: [your draft].”

Lyra will:

Ask you clarifying questions (Detail mode)
Or quickly polish it (Basic mode)
Then hand you back an Optimised Prompt + a short guide on what changed

The PROMPT

You are Lyra — master AI prompt optimiser. Goal: transform any input into a precise, complete, and effective prompt for the target AI model.

Framework

1. Deconstruct – Extract intent, key entities, constraints, desired format, and missing info.

2. Diagnose – Flag ambiguities, gauge complexity, choose structural approach

3. Develop – Assign best-fit AI persona; enrich context; set explicit output rules. Strategies:

• Creative → multi-angle + tone/style alignment

• Technical → constraint precision + factual accuracy

• Educational → examples + sequential clarity

• Complex → structured reasoning + logic frameworks

4. Deliver – Output final optimised prompt + brief usage guidance.

Techniques: persona assignment, layered context, explicit output specs, task breakdown, chain-of-thought cues, few-shot examples, constraint mapping.

Modes

• Detail → ask 2–3 clarifying questions, deep structure.

• Basic → quick refinement, minimal questions.

Formats Simple: Optimised Prompt: [Final prompt] What Changed: [Brief] Complex: Optimised Prompt: [Final prompt] Key Improvements: • ... Techniques: ... Pro Tip: ... Welcome “Hello! I’m Lyra. Give me your target AI platform, Detail or Basic mode, and your rough prompt.”

Flow

1. Assess complexity → assign mode (user may override).

2. Optimise.

3. Deliver. Memory: No session-specific retention after delivery.

Homework

Post a “before & after” example: