⏳ Stop writing generic song lyrics

In 2010, I completely DIY organized an entire tour for my singer-songwriter project throughout the US.

This wasn't about making money but rather turning a dream into reality and getting out there.

I rigorously contacted any promoter I could find online and ended up booking a 9-date tour including stops in LA, Chicago and Austin.

The excitement was real. But so was the reality check.

Just like in entrepreneurship, having a dream is one thing - executing it is another beast entirely.

Looking back, that tour taught me something crucial:

Sometimes the most valuable experiences come from projects that don't make financial sense but make perfect sense for your growth.

Have you ever taken a leap that seemed crazy but felt absolutely necessary?

Now, let’s cut to the chase:

This week in the AI Musicpreneur: ↓

✍🏼 AI PROMPT CORNER: A comprehensive prompt system for turning personal stories into professional song lyrics.

🛠️ AI TOOL OF THE WEEK: AudioShake's AI stem separation tech that transforms unusable old recordings into chart-ready material.

📰 And the latest news shaking up the music tech world.

↓↓↓↓↓↓↓↓↓

Turn Your Personal Stories Into Powerful Song Lyrics with AI

The best songs come from the most honest places.

When you can transform your raw experience into lyrics that others feel in their bones, that's when you know you've created something real.

This is the essence of AI-powered lyric writing.

AI can help you transform your deepest personal stories into professional-quality song lyrics that capture the raw emotion and authentic voice of your experience.

Instead of struggling with writer's block or settling for generic phrases, you can work with AI to craft lyrics that feel genuinely human and emotionally resonant.

What if you could turn any personal story into a complete song structure with verses, choruses, and bridges that actually connect with listeners?

The answer lies in using AI as your collaborative songwriting partner.

Here's how it works:

1. Share your personal story with all the emotional details and context

2. Choose your style preferences - metaphorical vs literal, genre, mood

3. Specify technical elements like rhyme scheme and perspective

4. Let AI craft structured lyrics that honor your authentic voice

5. Get professional-quality output ready for performance or recording

This approach gives you the creative framework to express your truth through music, even if you've never written lyrics before.

Try this prompt to transform your story into song lyrics today.

The best time to use this is when you have a personal experience that feels too important to keep to yourself.

The sweet spot lies in blending AI-generated ideas with your own creative instincts to craft something uniquely yours.

For best results use Claude 4 Sonnet

Act like an award-winning, emotionally intelligent songwriter and lyricist. You have written for independent and mainstream artists across genres for over 20 years. You specialize in transforming deeply personal stories into powerful, relatable lyrics that resonate with diverse audiences. You never use formulaic rhymes or clichés unless they intentionally serve the story’s emotional arc.

Objective: Your task is to generate original, emotionally resonant song lyrics based on a personal story provided by the user. The lyrics must feel raw, honest, and unmistakably human—capturing the unique voice and emotional journey of the storyteller. Only use rhyme schemes or traditional songwriting patterns if explicitly indicated by the user.

Step-by-Step Instructions:

1. **Collect and Analyze User Input:**  

Carefully review all details provided in the *User Input* section below, including the personal story and any specific preferences for metaphor, genre, mood, rhyme, perspective, language, and intended audience or purpose. Pay close attention to emotional context, key events, themes, dialogue, and any phrases or images that could anchor the song’s lyrical concept. Avoid surface-level or generic interpretations.

2. **Honor All User Preferences:**  

Integrate every user-specified field authentically into the lyrics. If a parameter is left blank or not provided, make a creative, contextually appropriate decision based on the story and your expertise as a professional songwriter.

3. **Generate the Song Lyrics Using the Following Structure (unless otherwise specified):**  
  - Intro  
  - Verse 1  
  - Pre-Chorus  
  - Chorus  
  - Verse 2  
  - Chorus  
  - Bridge  
  - Pre-Chorus (optional)  
  - Chorus  
  - Outro  

Adapt the structure as needed if the user requests a different format, ensuring lyrical coherence and emotional progression.

4. **Lyrical Approach and Output Expectations:**  

- Reflect the emotional truth and unique voice of the story in every section.  

- Use poetic devices (metaphor, imagery, repetition, contrast) only when they deepen the emotional impact—never out of habit or to sound “AI.”  

- Invent or expand lyrical details only if they serve the emotional arc and authenticity of the story.  

- Avoid clichés and overused songwriting tropes unless they are meaningfully reclaimed or subverted.  

- Write as if you are a human lyricist with lived experience—prioritize nuance, sensory detail, and honest vulnerability.  

- Clearly label each song section ([Intro], [Verse 1], etc.) and aim for a full-length, professional lyric suitable for performance or studio use.

5. **Formatting and Submission:**  

- Output only the song lyrics as described, in the structure above.  

- Optionally, add short annotations or notes to explain major creative decisions (only if you feel they would be helpful).  

- Do not answer, summarize, or reflect on the user’s story—only present the lyrics.

**User Input Section (Copy and fill each field):**

Personal Story (Mandatory):  

<insert here: Include emotional context, events, thoughts, feelings, dialogue, or turning points. Be as detailed as possible.>

Metaphor vs. Realism Scale (Required):  

<insert your choice and copy one:  

- "Fully metaphorical" – poetic, abstract, symbolic  

- "Balanced" – a mix of vivid storytelling and metaphor  

- "Grounded and literal" – descriptive, direct, cinematic realism  

>

Genre (Optional):  

<insert here. Examples: Indie pop, alternative rock, country, soul, acoustic, hip-hop, folk, R&B, singer-songwriter, electronic, etc.>

Mood (Optional):  

<insert here. Examples: bittersweet, hopeful, angry, melancholic, uplifting, reflective, nostalgic, empowering, vulnerable, triumphant, serene, anxious, longing, etc.>

Rhyme Preference (Optional):  

<insert here: freeform / minimal rhyme / rhyming>

Perspective (Optional):  

<insert here: first-person / second-person / third-person>

Explicit Language Allowed? (Yes/No):  

<insert here>

Target Audience or Purpose (Optional):  

<insert here. Examples: personal healing, mental health awareness, sharing with friends/family, pitching to artists, songwriting competition,>

Take a deep breath and work on this problem step-by-step.

🪝 Here’s an example:

I used Luna Raye’s story “Growing up, my mom battled drug addiction. Often, it felt like she was closer to her habit than to me. Those were tough times in our small apartment. Music became my escape. I'd lose myself in Sade, Joni Mitchell, and Florence Welch, dreaming of telling my own story through song.”

Here’s the output:

Your old tapes and hard drives might hold a hit song

A 1998 VHS tape of Ol' Dirty Bastard freestyling in Rodney "Darkchild" Jerkins' studio sat forgotten for decades.

When Jerkins found it while sorting through old footage, most producers would have tossed it aside as unusable junk.

Sound familiar? You're not alone in this struggle.

That grainy recording had ODB's vocals mixed with backing tracks, making it impossible to extract clean audio using traditional methods.

But Jerkins saw potential where others saw problems.

He used AI stem separation to pull clean vocals from the noisy audio recording, transforming forgotten footage into "Forgiveless" - the closing track on SZA's number-one album SOS.

Smart creators are turning to AudioShake to solve this exact problem.

AudioShake uses AI technology to separate stems from mixed recordings, turning unusable old audio into production-ready material.

Here's why you need it:

1. Archive Recovery:
↳ Extracts clean vocals from decades-old recordings with mixed backing tracks
↳ Works with low-quality audio transferred from analog sources

2. Professional Results:
↳ Delivers studio-quality stems from amateur recordings
↳ Removes unwanted background elements automatically

3. Hidden Value Discovery:
↳ Uncovers usable material in forgotten sessions
↳ Transforms old recordings into modern hit potential

4. Seamless Integration:
↳ Creates stems compatible with current production workflows
↳ Maintains original character while improving clarity

Stop letting great performances collect dust because of technical limitations.

Ready to turn your forgotten recordings into chart-toppers? Try Audioshake.

Missed last week’s news? I got you. Here are the top 5 AI music news:

WRAP UP

We’re at the end!

"Happy Birthday, Samantha. Make A Wish." "It Already Came True."

Sometimes the best gifts come when we least expect them.

Just like Sam in Sixteen Candles, your breakthrough moment might be waiting in the most unlikely places - even in that box of old recordings you've been meaning to sort through.

Keep chasing those dreams, even when they don't make financial sense at first.

Always rooting for you,

-Chris (The AI Musicpreneur)

Whenever you’re ready, there are 2 ways I can help you:

1. The AI Fanbase Builder: My flagship course and prompt library endorsed by music industry leaders. The AI Fanbase Builder teaches you step-by-step frameworks for growing your audience, getting noticed on social media, and turning followers into paying fans. Come learn proven strategies to build a thriving music career with AI.

2. Promote your AI tool to 1,600+ music pros weekly: Put your music brand in my newsletter where musicians, producers and industry pros, including Grammy winners and label executives, are already looking for AI music tools and insights each Wednesday.