AI projects too abstract? CAILA has arranged everything that can be implemented.
While most AI projects are still talking about 'how AI will change the world in the future', CAILA has already put it into practice:
✅ Real weather stations on-chain (DePIN).
✅ AI Agent open semantic Q&A (Telegram, Discord).
✅ Has been launched on multiple CEX.
✅ Can grab airdrops, can do LP, can trade incentives, and can bind on-chain identity to obtain future rights.
The most important thing is: low threshold, complete gameplay, and real measurable returns.
🛠️ 1. Beginner's first step: bind Marco ID, access the future CA Agent network.
🔍 What is Marco?
Marco is an on-chain smart identity system supported by the MCP protocol. Future uses of agents in CAILA, weather data authorization, reward distribution, etc., will all be based on Marco identity recognition.
In simple terms: if you don't bind, it's like playing a game without creating a character; your data cannot be associated with you, and you won't receive rewards.
✅ Binding steps (super simple):
1. Open: https://marco.bnbchain.org.
2. Connect wallet to BNB Chain.
3. Enter the ID you want, e.g., weatherking.bnb.
4. Pay about 0.002BNB (≈5 yuan) to register successfully.
5. After binding is completed, you can log in to MCP series projects with one click.
🎯 Binding advantages:
• Obtain identity identification within the CA ecosystem.
• Subsequent agent usage/data permission control relies on it.
• Bound users will have priority to obtain testing permissions and incentives (higher probability of airdrop allocation).
💰 2. Want to grab airdrops/rewards? Three mainstream methods, fully sorted gameplay.
✅ 1) Trading is mining (the simplest).
• Buy $CA in alpha.
• Based on your trading volume within 24 hours, the platform will airdrop tokens from the reward pool according to the proportion.
• Total prize pool: $200,000 equivalent CA.
• Can participate repeatedly (in phases).
**Recommended gameplay:** Set limit orders + cancel orders combination to increase trading frequency and enhance activity.
✅ 2) Provide LP mining (most stable).
Platforms: ORA Swap, PancakeSwap.
Pool: CA/BNB, CA/USDT.
• Add an equivalent amount of CA + BNB (or USDT) to the liquidity pool.
• You can obtain LP Token and participate in liquidity mining.
• Mining rewards are distributed in a combination of $CA + $ORA.
• No lock-in for the pool, enter and exit at any time, annualized returns fluctuate (can reach over 50% annualized during peak periods).
Recommended strategy:
• It is recommended to buy CA in advance and enter at the bottom of the pool, adding positions in batches.
• Can be paired with LP position monitoring tools to control impermanent loss.
✅ 3) Participate in target market cap tasks (advanced airdrop).
• The official sets multiple 'market cap target points':
• Triggered when the market cap reaches 3 million, 5 million, 8 million, 10 million.
• Each stage will release corresponding airdrop tasks + lottery activities.
• Usually includes likes, retweets, tweet creation, interactive tasks, etc.
Recommended strategy:
• Follow CAILA's official Twitter + Four.meme account in advance to track market cap progress in real time.
• Use Notion/Telegram groups to monitor project market cap changes and grab tasks.
🧠 3. So what’s the use of playing these? These actions = future on-chain behavioral assets!
CAILA is different from ordinary AI projects:
• It uploads real-world weather data through DePIN.
• Interpret and respond to user requests through AI Agent.
• Every time you bind your ID, call an agent, interact with on-chain data, or provide LP, you are actually contributing to the future AI network data assets and certificates.
These actions may constitute 'Agent network rights' in the future; you are an early user and also the original owner of the data assets.
Even without technical knowledge, you can play, grab airdrops, seize incentives, and layout closed-loop narratives.
Have you bound Marco yet?
Are you just a pure airdrop player, or are you betting that CAILA will become the next entry project for agents?
Let's discuss in the comment section and see who the earliest 'on-chain weather prophet' is!
