𝗦𝗞𝗜𝗟𝗟𝗦 𝗔𝗥𝗘 𝗪𝗛𝗔𝗧 𝗧𝗨𝗥𝗡 𝗔𝗚𝗘𝗡𝗧𝗦 𝗜𝗡𝗧𝗢 𝗪𝗢𝗥𝗞𝗘𝗥𝗦
An AI model can reason about a task.
But reasoning isn't execution.
To perform useful work, an agent needs structured capabilities.
This is where the idea of reusable AI “Skills” becomes powerful.
Instead of manually teaching an agent every workflow from scratch, developers can expose capabilities in a structured way.
The BANK OF AI documentation already describes Skills for tasks such as blockchain data operations, financial workflows and x402 payments.
𝗧𝗵𝗶𝘀 𝗰𝗿𝗲𝗮𝘁𝗲𝘀 𝗮 𝗰𝗹𝗲𝗮𝗿𝗲𝗿 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝘆 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻.
The model decides what should happen.
The skill defines how a particular capability can be used.
The infrastructure handles the interaction.
That architecture could become increasingly important as agents become more autonomous.
AINFT's work around AI and Web3 infrastructure is interesting precisely because it explores these layers together.
𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝗺𝗮𝘆 𝗯𝗲 𝗹𝗲𝘀𝘀 𝗮𝗯𝗼𝘂𝘁 𝗼𝗻𝗲 𝗴𝗶𝗮𝗻𝘁 𝗺𝗼𝗱𝗲𝗹 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗺𝗼𝗱𝘂𝗹𝗮𝗿 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀.
@AINFTcom
@Justin Sun孙宇晨
#TRONEcoStar
An AI model can reason about a task.
But reasoning isn't execution.
To perform useful work, an agent needs structured capabilities.
This is where the idea of reusable AI “Skills” becomes powerful.
Instead of manually teaching an agent every workflow from scratch, developers can expose capabilities in a structured way.
The BANK OF AI documentation already describes Skills for tasks such as blockchain data operations, financial workflows and x402 payments.
𝗧𝗵𝗶𝘀 𝗰𝗿𝗲𝗮𝘁𝗲𝘀 𝗮 𝗰𝗹𝗲𝗮𝗿𝗲𝗿 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝘆 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻.
The model decides what should happen.
The skill defines how a particular capability can be used.
The infrastructure handles the interaction.
That architecture could become increasingly important as agents become more autonomous.
AINFT's work around AI and Web3 infrastructure is interesting precisely because it explores these layers together.
𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝗺𝗮𝘆 𝗯𝗲 𝗹𝗲𝘀𝘀 𝗮𝗯𝗼𝘂𝘁 𝗼𝗻𝗲 𝗴𝗶𝗮𝗻𝘁 𝗺𝗼𝗱𝗲𝗹 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗺𝗼𝗱𝘂𝗹𝗮𝗿 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀.
@AINFTcom
@Justin Sun孙宇晨
#TRONEcoStar
