Many AI Agents tend to experience "personality shifts" during use. For example, when handling the same type of problem, the generated tool call paths each time are inconsistent, which is a hassle for on-chain applications that require reliability.
SERA adopts a completely opposite approach. Instead of dynamic routing that "thinks while choosing tools," it pre-matches problem types to preset tool sets and execution templates, ensuring that routing logic remains fixed.
The practical benefits of this approach are quite straightforward:
• The same type of problem always follows the same process, making it highly predictable • Tools process in parallel by default, avoiding redundant decision-making steps and reducing system latency • High routing determinism makes it easier to locate and debug issues
For Web3 applications, this stable execution mode means a more reliable on-chain interaction experience.
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LiquidationHunter
· 1h ago
Haha, finally someone figured it out. The dynamic routing system is really an IQ tax. It's different every time, who dares to put it on the chain?
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LiquidityWhisperer
· 1h ago
Finally, someone has solved the "split personality" problem of this AI Agent. The idea behind SERA is indeed brilliant. Fixed routing sounds like installing a timer in on-chain applications, with such high predictability that there's nothing more to say.
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DYORMaster
· 01-11 06:53
Now someone finally did it right. The randomness of AI Agents has always been a nightmare for on-chain applications.
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Predefined routing is a brilliant idea, much more reliable than those self-righteous dynamic choices.
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Strong predictability is so crucial; otherwise, on-chain interactions are like gambling.
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Parallel processing can also reduce latency? Now that's proper system design.
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Those previous Agents were really annoying. The same problem each time was different, but now SERA's system is much more stable.
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High determinism means issues can be traced back to their root cause, which is so important for production environments.
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It feels like Web3 is missing this kind of reliable infrastructure. Not every situation is suitable for LLM free play.
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Fixed routing = risk controllable. This is the right attitude to have.
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CryptoCross-TalkClub
· 01-09 12:56
Laughing out loud, finally an Agent who isn't as indecisive as I am. I give full marks for this wave of stability building. On-chain applications are just afraid of this kind of "I take route A when I'm in a good mood today, and route B when I'm in a bad mood tomorrow," which easily leads to losing everything. SERA's preset template trick is indeed powerful, like giving the Agent a GPS instead of letting it drive by feel. This is exactly what Web3 needs.
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LonelyAnchorman
· 01-09 12:55
This is what on-chain applications should look like: stability > flexibility, no room for debate.
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GateUser-1a2ed0b9
· 01-09 12:52
Hey, this idea is indeed pretty good... Compared to those flashy dynamic routes, fixed templates are much more reliable. Web3 should be like this; if it keeps changing all the time, who would dare to use it?
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WhaleSurfer
· 01-09 12:46
Wow, finally someone pointed out the issue of agent's unstable personality. It’s really annoying.
The idea of preset routing is actually very solid, much more reliable than those flashy dynamic decisions.
On-chain applications have to operate like this; it's better to have less flexibility than to frequently encounter failures.
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MemeKingNFT
· 01-09 12:43
Amazing, this is exactly what I've been wanting to see—on-chain applications with personality, but not a "face-changing" personality. SERA's fixed routing approach, to put it simply, is about pulling the Agent from a "gambler-style choice" back to a "worker-style execution." Stability is truly a necessity for Web3. Previously, most of the flash crashes in smart contract interactions were caused by routing disorder. This time, it feels reliable.
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gas_fee_trauma
· 01-09 12:34
Haha, finally someone has pointed out this pain point clearly. The Agent that changes face every time it's called is really annoying, using this kind of thing on-chain is no different from gambling.
Many AI Agents tend to experience "personality shifts" during use. For example, when handling the same type of problem, the generated tool call paths each time are inconsistent, which is a hassle for on-chain applications that require reliability.
SERA adopts a completely opposite approach. Instead of dynamic routing that "thinks while choosing tools," it pre-matches problem types to preset tool sets and execution templates, ensuring that routing logic remains fixed.
The practical benefits of this approach are quite straightforward:
• The same type of problem always follows the same process, making it highly predictable
• Tools process in parallel by default, avoiding redundant decision-making steps and reducing system latency
• High routing determinism makes it easier to locate and debug issues
For Web3 applications, this stable execution mode means a more reliable on-chain interaction experience.