Training is the highest-impact thing you can do to improve Beat’s output quality. Voice descriptors and tone guidelines tell Beat how you sound in the abstract. Training samples show Beat exactly how you sound in practice — and that difference is significant.Documentation Index
Fetch the complete documentation index at: https://docs.useupbeat.com/llms.txt
Use this file to discover all available pages before exploring further.
Why training matters
AI models are pattern matchers. When Beat has real examples of your writing, it can match your rhythm, sentence length, transition style, how you open paragraphs, how aggressive your CTAs are, and dozens of other micro-patterns that make your voice recognizable. Without training samples, Beat defaults to polished-but-generic. With 2–3 strong samples, the difference in output quality is immediate.The three weights
When you add a training sample, you assign one of three weights:| Option | Badge shown in list | What it means |
|---|---|---|
| This is exactly how I want to sound | On voice | Your voice at its best. Beat actively learns from and emulates this style. |
| This is okay but not ideal | Okay | Acceptable but not representative. Beat understands you write this way but won’t lean into it. |
| This is what I DON’T want to sound like | Anti | What you want Beat to actively avoid. |
How to add a training sample
Paste your content
Paste a piece of your writing. A full blog post, a LinkedIn article, an email newsletter, or a long-form social post all work well. The sample should be long enough (200+ words minimum) to show Beat your natural patterns.
Tag the content type and pick a weight
Choose the content type (Blog post, Email, Bio, About page, Social post, Sales copy, Other) and the weight (This is exactly how I want to sound, This is okay but not ideal, or This is what I DON’T want to sound like).
What types of content to use
The best training samples are real pieces you’ve already published. Good options:- A blog post or article you’re proud of
- A LinkedIn article that got strong engagement
- An email newsletter that felt authentically you
- A long-form social post with your signature voice
How many samples you need
You only need 2–3 “exactly how I want to sound” samples to start seeing a meaningful improvement. You don’t need to upload your entire content archive.- 2–3 samples — Beat gets a baseline understanding of your voice
- 5–10 samples — Beat’s voice accuracy becomes noticeably more consistent
- 10+ samples — Best results, especially if your content spans multiple formats
When to add more
Add new training samples when:- Beat’s output starts drifting from your style (common after a few weeks of heavy use)
- You’ve evolved your voice or brand positioning significantly
- Beat keeps producing a pattern you don’t like, even after tweaking your voice descriptors
Anti-reference examples
Anti-reference samples are just as useful as positive examples. Use them for:- Generic AI output — paste a piece of AI-generated content that sounds robotic or over-polished. This trains Beat on what to avoid.
- Competitor style you dislike — if there’s a writing style in your industry that feels off-brand for you, add it as an anti-reference.
- Your own weak content — a piece you wrote when you were trying too hard, being too formal, or using jargon you’ve since dropped.
- Passive voice or hedged language — if you want Beat to be more direct, paste examples of overly cautious writing as anti-references.
What’s next?
Brand Beat Overview
Learn how to maintain and update your full brand profile over time.
Beat AI Overview
Understand how Beat uses your brand profile across every page.