From: Telling AI to 'write in my voice' and hoping for the best
To: Giving AI 10 curated gold samples so it actually knows what your voice sounds like

Theme for the Week: Brand Voice Integrity

Yesterday, we covered why your voice is an asset - and why handing it off to 'generic smart' is the most expensive mistake an operator can make.

✨ In Today's Episode:

10 "Gold" Samples Your AI Can Mimic

The afternoon project that ends the press-release problem forever.

Your AI doesn't sound like you.

Because you never showed it what "you" sounds like.

Ten samples. Curated. Tagged. Versioned.

That's a Voice Vault.

That's the gap between "AI slop" and "wait, did you write this or did your model?"

Here's a story that should make every operator sit up straight.

OpenAI just acquired Weights.gg - a six-person startup that had raised roughly $4 million on the back of one capability: voice cloning so good it was scary.

Then OpenAI did something unusual. They shelved the consumer product. The official reason? "An abundance of caution." Translation: the technology was too good at replicating a human voice to release into the wild.

Pause on that for a second.

The most well-funded AI lab on the planet paid millions for a six-person team to acquire the ability to mimic a voice at high fidelity, and then locked it in a vault because the output was indistinguishable from the real person.

Now look at your own AI workflow.

You're feeding ChatGPT a prompt that says "write in my voice" with zero examples of your actual voice attached. And then you're confused when the output reads like a LinkedIn motivational poster wrote a press release.

You're trying to solve the same problem OpenAI spent eight figures on - without the inputs.

The good news? At the text level, you don't need eight figures. You need ten samples and an afternoon.

That's the Voice Vault.

Here's the build. Block 90 minutes. Coffee on.

Step 1: Pull your 10 "gold" samples.

Not 50. Not 200. Ten.

Quality of examples beats quantity every time. You're training pattern recognition, not running a statistics seminar.

Pick samples that meet all three criteria:

Hunt across your archive: emails to clients, your best newsletter issues, the LinkedIn post that actually went off, a voice memo transcript, a Slack rant that crystallized your POV.

Step 2: Tag each sample by context.

For each one, write a single line at the top:

This is the part most operators skip. Without tags, your AI doesn't know when to deploy which flavor of you.

Step 3: Extract your voice rules.

Read all 10 samples back-to-back. Write down what you notice:

You're looking for 8 to 15 rules. Concrete ones. "I never use the word 'leverage' as a verb" beats "be professional."

Step 4: Build the Voice Vault prompt.

Structure it like this:

```
You are writing as [your name].
Voice rules: [paste your 8-15 rules]
Reference samples: [paste all 10, with their tags]
Today's task: [the actual job]
Match the sample tagged closest to today's task.
```

Step 5: Version it.

Save it as `voice-vault-v1`. Date it. Because in 90 days you'll write better, your voice will sharpen, and v2 will be 30% better than v1.

That's the system. Ten samples. Tags. Rules. Prompt. Versioned.

Is your growth in-line with your peers in B2B SaaS & AI? 

Benchmark yourself against actual billings data for Maxio’s 2000+ global customers.

Key takeaways from the report: 

Download the Report

Here's the paradigm shift hiding inside this tactic.

For a decade, brand voice was a cost center. ElevenLabs notes that traditional audiobook production runs $5,000 to $10,000 per title - which is exactly why roughly 90% of printed books have never been recorded as audio. The cost of sounding like yourself at scale was prohibitive.

That economics is now broken. Permanently.

The cost of replicating your voice - text, audio, eventually video - has collapsed to near-zero. Which means voice is no longer a budget problem. It's a systems problem.

And here's the asymmetry: while everyone else races to publish more AI content faster, the operators who win the next five years will be the ones who treat their voice as a durable, owned, versioned asset. The way you'd treat a customer list. Or a codebase.

A Voice Vault isn't a productivity hack. It's the founding document of an AI-native brand. The seed your future agents, automations, and content systems will all train on.

Build it once. Compound it forever.

OpenAI just paid millions to lock voice cloning behind a vault.

You can build your own - at the text level, where 90% of your business actually happens - in one focused afternoon.

Ten samples. Tagged. Rule-extracted. Prompt-loaded. Versioned.

That's the difference between AI that sounds like AI, and AI that sounds like you.

Build the vault this week. Reply with one sample you'd put in it. 🧠

Before you go: Here are 2 ways I can help you scale smarter with AI

AiScaleTips is your founder clarity compass.
Most scale with chaos. You scale by design.

- Justin Glover