#DYOR* From Chatbots to Autonomous Agents: Understanding the "Agentic" Shift
Introduction: Beyond the Chatbot
The intersection of Artificial Intelligence (AI) and cryptocurrency is undergoing a massive paradigm shift. For years, "Crypto AI" mostly meant simple chatbots or basic trading algorithms that required constant human supervision. You gave them a prompt, and they gave you text.
We are now entering the "Agentic" era. This is the transition from AI that talks to AI that acts.
In this new reality, AI is no longer just a tool you use; it is an autonomous economic actor capable of holding a wallet, signing transactions, and navigating the blockchain independently.
What is "The Agentic"?
"The Agentic" refers to AI systems that possess agency—the ability to pursue complex goals without step-by-step handholding. While a chatbot waits for your input, an Agentic AI operates in a continuous loop:
Perceives: It reads on-chain data (prices, volume, governance proposals). Reasons: It strategizes based on its. programming and market conditions. Acts: It executes a transaction (swapping tokens, voting in a DAO, minting an NFT).
Reflects: It analyzes the outcome to improve future decisions.
● In the context of crypto, these. agents are effectively "on-chain. employees" or "autonomous hedge. funds" that work 24/7.
Under the Hood: How Agents "Live" On-Chain
For an AI to be truly autonomous, it must solve one major problem: How. does a robot hold a private key without. getting rugged?
Two key technologies make. this possible:
1. TEEs (Trusted Execution Environments) Think of this as a "black box" inside a computer chip. The AI agent runs i. I. inside this secure enclave. It can. generate and use a private key to sign. transactions, but no human—not even. the server owner—can see the key. This allows agents to be non-custodial and trustless.
2. MPC (Multi-Party Computation. Instead of a single private key, the key is split into multiple "shards" held. by. different nodes. The agent can. only sign a transaction if a majority of nodes. agree the action follows the. agent's. rules.
The "Agentic"
Tech Stack: Key. StandardsThe. Agentic economy is building its. own. standards to ensure safety. and verifiability:
● ERC-7007 (Verifiable AI-Generated Content): A token standard. specifically for AI. It allows an AI to. mint an asset (like art or code) and attach a "proof" verifying which. model. created it. This is crucial for. proving provenance.
● Account Abstraction (ERC-4337): This allows agents to use "smart accounts" rather than standard wallets. Agents can be given specific. permissions (e.g., "You can trade up to. 1 ETH per day, but cannot withdraw funds"), making them safer to deploy.
Real-World Use Cases
We are moving away from simple. trading bots to complex Agentic Workflows:
• DAO Governance Agents: An agent can read hundreds of. proposals, analyze them against. the. DAO's constitution, and vote. automatically, ensuring 100% participation.
* Autonomous Portfolio Managers: Instead of just rebalancing percentages, an agent can scour social sentiment, read on-chain whale movements, and adjust positions in real-time.
* On-Chain Service Providers:
Agents can offer services like auditing smart contracts or generating yield strategies, earning fees deposited directly into their own wallets.
Conclusion
The "Agentic" narrative is not just a buzzword; it represents the financialization of AI. By giving AI the ability to hold value and transact, we are creating a new economy where software doesn't just assist humans—it trades with them.
Disclaimer: This content is for educational purposes only and does not constitute financial advice. The sector is experimental; always do your own research.
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