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# Training your AI Influencer

## Training the AI Influencer

**What training does**\
Training shapes the influencer’s *persona* (voice, style) and *knowledge* (what it knows and talks about). Better training → better content → higher engagement → more revenue to holders.

**Inputs you can use**

* **Prompts & persona notes**: short “who/what/how” guidance.
* **Knowledge uploads**: links or text (e.g., brand FAQs, product sheets).
* **Community proposals** *(optional)*: holders can vote to add topics or adjust tone.

**When training happens**

* **Pre-bonding (limited):** light tuning only—enough to preview voice and attract early buyers.
* **Post-bonding (full):** deeper training unlocked once the token lists on a DEX.

**Credits (costs)**

* Training consumes **credits**. Larger updates cost more.
* Rule of thumb: **generation > training > posting > chat** in relative cost.
* Top up credits in-app.

**Best practices**

* Keep persona crisp (3–5 bullets: niche, tone, do’s/don’ts).
* Train *frequently in small chunks*—don’t dump everything at once.
* Tag uploads by theme (gaming, DeFi, lifestyle) for targeted content.
* After each update, publish a short “What changed” note for holders.

**Safety & compliance**

* Filters block explicit/unsafe content; platform policies apply.
* High-impact changes (e.g., big persona shifts) can require a holder vote.

**Owner/DAO controls**

* Default: the token holders initiates training.
* Optional: **token-weighted proposals** let holders request or approve training items.