đ—–đ—Œđ—șđ—œđ—čđ—Č𝘁đ—Č đ—šđ˜‚đ—¶đ—±đ—Č: 𝗔𝗜𝗡𝗙𝗧 𝗔𝗜 đ— đ—Œđ—±đ—Čđ—č𝘀, 𝗹𝘀𝗼𝗮đ—Č, đ—źđ—»đ—± đ—Łđ—żđ—¶đ—°đ—¶đ—»đ—Ž

If you plan to use AI on @OfficialAINFT, there are two fundamentals you must understand:

the AI models and how credits are consumed.

Here’s a clear breakdown.

Understanding AINFT AI Models;

AINFT provides access to multiple AI models, each optimized for different tasks and complexity levels. Choosing the right model helps balance performance, speed, and cost.

‱ Lightweight models – Best for quick interactions, basic content generation, and lower credit usage

‱ Advanced models – Designed for complex reasoning, long-form outputs, and higher accuracy

‱ Specialized models – Optimized for creative tasks, agents, and NFT-related AI use cases

Each model has a different credit cost depending on processing requirements.

How Credits Work on AINFT;

Credits are the unit of consumption for all AI interactions on AINFT.

Credits are used when:

‱ Generating AI responses or content

‱ Running AI agents or workflows

‱ Executing advanced or long-form prompts

The more computational power a model requires, the more credits it consumes per interaction.

📊 Pricing Logic (Simple & Transparent)

AINFT pricing is based on:

‱ Model complexity

‱ Response length

‱ Compute intensity

This ensures:

‱ Fair pricing for casual users

‱ Predictable costs for power users

‱ Scalable usage for creators and builders

You only pay for what you use.

🧠 How to Use Credits Efficiently

‱ Match the model to the task

‱ Use lightweight models for simple prompts

‱ Reserve advanced models for high-value outputs

‱ Monitor credit usage to optimize cost

Efficiency is the key to scaling AI usage on-chain.

@Justin Sunć­™ćź‡æ™š #OfficialAINFT #TRINEcostar