"You need to train your AI", someone may have told you. The phrase sounds impressive and brings to mind a technical construction site. In reality, there are two ways to adapt an AI to your business, and for most of you, the heavy one is unnecessary.
Two ways to adapt an AI
Imagine you're welcoming a new team member. You have two options for getting them to know your company.
The first: send them on a long training program, months of classes, so they absorb everything into their head. That's fine-tuning: you retrain the model (the AI's "engine") on your data, to change what it has learned.
The second: give them a good brief and access to the files. They keep their general know-how, and you hand them your company's information at the moment they need it. That's context: you don't change the model, you slip it the right information exactly when it acts.
Fine-tuning re-educates the AI. Context informs it. The second approach is almost always enough.
Why fine-tuning is rarely the right choice
Fine-tuning has its place in large, highly specialized projects. But for a small business, the downsides stack up:
- Heavy. You need to gather large amounts of clean, well-organized data.
- Expensive. The operation costs money, and often has to be redone.
- Slow. It's not immediate: count on several technical steps before the slightest result.
- Rigid. Your pricing changes tomorrow? The model trained yesterday doesn't know it. You start all over again.
It's like training someone for six months only to retrain them every time your prices move. Out of proportion for most everyday needs.
Context: immediate and flexible
The context approach ticks the opposite boxes: immediate, flexible, no technical work.
You describe your business, your clients, your tone, your documents. The AI uses it right away. You change a price? The next answer reflects it instantly, no retraining.
| Fine-tuning | Context | |
|---|---|---|
| Setup | Heavy, technical | Immediate |
| Cost | High | Included |
| Updates | Redo everything | Instant |
| For a small business | Oversized | A good fit |
For 99% of small businesses, context is more than enough. You keep the full power of a large model, plus the knowledge of YOUR company.
That's exactly the chyll approach
With chyll, you don't "train" any AI. You describe your business context once, and chyll, your business brain, remembers it for all your requests: prospecting, quotes, follow-ups, content, support. It acts knowing your business inside out, without you having to repeat yourself.
Update one piece of information, and everything is up to date within the second. No construction site, no surprise bill, no waiting.
Adapting your AI is therefore nothing like an engineering project. A good brief, your documents, and chyll works in your image, starting now and for the long run.