Old Zhou is a grassroots doctor at the community health station, 58 years old, having worked for most of his life.

On the afternoon of June 18, he was on duty as usual. The sky was very low, but no one issued any special warnings.

At 15:34, he received a call—

"The elderly lady fainted in the ×× community, had difficulty breathing, and the family said she has a history of asthma."

Old Zhou immediately set off with the first aid kit, the navigation showed: 12 minutes on foot.

But when he reached the bottom of the ×× bridge, he realized: that entire road had already been sealed off by water.

He was stunned for a few seconds, with water up to his knees ahead, and an electric bike was being pulled out of the water.

The broadcast was still playing: "The weather in the urban area is overcast turning to light rain, please citizens remember to carry rain gear."

🧩02｜It was his intern doctor's phone, which popped up a 'CAILA on-chain AI warning'.

Old Zhou was followed by an intern, Xiao Zhang.

Xiao Zhang saw the rain and said:

"Strange, I just subscribed to this section in CAILA, and it alerted 15 minutes ago—'Road may be closed, non-motor vehicles are not recommended to pass.'"

Old Zhou didn't understand; he only knew how to check nucleic acid results using a health app and had never used any 'on-chain AI'.

But Xiao Zhang handed over the phone, which read:

⚠️ City Node: ×× intersection - Flooded area

⏰ Time: 15:17

📍 Risk: Continuous rainfall + Groundwater level rising rapidly + Low drainage rate

🧠 Estimated: The section from 15:40 to 16:10 will be impassable, it is recommended that medical staff and emergency units detour to the southern section of ×× road.

Old Zhou looked up at the sky, then at the flowing water under his feet, and sighed:

"More accurate than your community platform app."

🤯03｜The patient was ultimately safe, but the process was fraught with danger.

Old Zhou and Xiao Zhang took a detour around the entire street,

When they arrived at the patient's home, the elderly lady was already pale, and her blood oxygen had dropped to 86%.

Fortunately, the rescue was timely, and breathing was relieved after inhaling the medication.

But he always had a knot in his heart:

"If I had known that road was closed, I would have taken another route. It's not that we're technically lacking, it's that the information was cut off."

Back at the station, he mumbled while taking off his raincoat:

"The broadcast didn't report, the app didn't make a sound, and no one in the street group was talking,

So who is supporting this city?

🧠04｜Xiao Zhang turned around to study CAILA, and he found that this AI was more like a system than the 'system'.

This is not a 'bragging AI',

It is a truly city system that relies on on-chain data to perceive 'human path risks' using neural structures.

Old Zhou said nothing.

It was just that night when he pulled the intern into the office and said:

"Teach me how to use that 'CAILA'."

The city is not lacking intelligence, but there are too many places held back.

And this time, it was an on-chain AI that said before everyone fell silent:

"You, hurry and change your route, otherwise it will be too late."

Have you ever had a moment where 'information was half a beat slower than action'?

Have you ever seen a scene where the system that should have spoken remained completely silent?

Would you be willing to try an AI that doesn't waste words and only reminds you of key risks?

👇 Feel free to leave a message and share that moment where 'if someone had spoken earlier, it would have been better', and I'll like it for you. #CAILA链上AI气象官捕捉下一场Web3风暴