Standbyme
ROSE Holder
Frequent Trader
4.1 Years
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CZ
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AI Agents and Tokens: Build First, Tokenize Later
The Unpopular Opinion
Many believe every AI agent needs its own token, but I disagree. Crypto is the currency for AI, but not every agent requires its own token. AI agents can simply charge fees in existing cryptocurrencies, BNB for example. Tokens should only be introduced after achieving scale and proving utility.
Tokens Are a Distraction
Tokens often distract founders from building real products. Managing a token demands significant time and diverts focus from user experience. Web3 games made this mistake by prioritizing tokenomics over gameplay—and AI agents risk falling into the same trap.
Scale First, Then Consider Tokens
Before launching a token, an AI agent should achieve scale by demonstrating clear value. True utility means users genuinely need and use the service.
Consider an AI agent that launches meme tokens—it doesn't need its own token when users can pay in the native chain token. Adding another token just creates unnecessary complexity.
The Reality of Tokenization
While tokens enable fundraising, most AI agents don't need large capital for development. Too often, tokens become a vehicle for founders to cash out early—benefiting them at users' expense.
Conclusion
Build first, tokenize later—if at all. AI agents should focus on adoption, usability, and real value before considering tokenomics. A token isn't a path to success—the best AI agents will succeed because they provide genuine value, not because they have a token attached.
Many believe every AI agent needs its own token, but I disagree. Crypto is the currency for AI, but not every agent requires its own token. AI agents can simply charge fees in existing cryptocurrencies, BNB for example. Tokens should only be introduced after achieving scale and proving utility.
Tokens Are a Distraction
Tokens often distract founders from building real products. Managing a token demands significant time and diverts focus from user experience. Web3 games made this mistake by prioritizing tokenomics over gameplay—and AI agents risk falling into the same trap.
Scale First, Then Consider Tokens
Before launching a token, an AI agent should achieve scale by demonstrating clear value. True utility means users genuinely need and use the service.
Consider an AI agent that launches meme tokens—it doesn't need its own token when users can pay in the native chain token. Adding another token just creates unnecessary complexity.
The Reality of Tokenization
While tokens enable fundraising, most AI agents don't need large capital for development. Too often, tokens become a vehicle for founders to cash out early—benefiting them at users' expense.
Conclusion
Build first, tokenize later—if at all. AI agents should focus on adoption, usability, and real value before considering tokenomics. A token isn't a path to success—the best AI agents will succeed because they provide genuine value, not because they have a token attached.
dear Mr.whales
I hope you have the mercy to raise the price of $ROSE a little higher than the previous high cycle.
Thank you
I hope you have the mercy to raise the price of $ROSE a little higher than the previous high cycle.
Thank you
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I suggest you study it, because I think it's a bit complicated but interesting.
You can ask A.I if you have difficulty finding what you want to know.
You can ask A.I if you have difficulty finding what you want to know.
I just purchased some, can you tell me more about the eco system and chain technology please?
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L1 vs L2. Was chatting with a founder this morning.
Does it matter if a new AI project is an L1 or an L2?
The project's core is not to develop a better blockchain, but to use a blockchain to help with AI economics.
Having your own L1 feels like you have more sovereignty, more decentralization, etc. But it's also a lot more work. Nodes, validators, etc. You are also kinda on your own island.
L2 saves you all that work. And doesn't seem to have much value leakage to the L1 you are on (like ETH). You get to use the DEX, perps, existing tools, and the community.
Is L1 cooler than L2 or the reverse? Old topic, but wondering if sentiment has changed or not.
source : @CZ
Does it matter if a new AI project is an L1 or an L2?
The project's core is not to develop a better blockchain, but to use a blockchain to help with AI economics.
Having your own L1 feels like you have more sovereignty, more decentralization, etc. But it's also a lot more work. Nodes, validators, etc. You are also kinda on your own island.
L2 saves you all that work. And doesn't seem to have much value leakage to the L1 you are on (like ETH). You get to use the DEX, perps, existing tools, and the community.
Is L1 cooler than L2 or the reverse? Old topic, but wondering if sentiment has changed or not.
source : @CZ
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thank you $ROSE earlier I got a quite interesting price.
and I bought it. 🧳🛫
and I bought it. 🧳🛫
I want to buy $ROSE if someone offers a cheaper price, I will take it.
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