The people behind XingAI

Two co-founders build every product and answer for it.

Xing
XingCo-founderAI architect

AI architecture, product direction, and decision intelligence—how we shape models, data, and UX so the system stays understandable.

Allen
AllenCo-founderAI architect

AI architecture, engineering, and reliable systems—Next.js, FastAPI, and local AI wired so behavior stays traceable and safe.

The agents inside XingAI

One job each. Where you can see that job today is listed on every card.

Second Master

Second Master二当家

Research & Intelligence Lead

Agent · Evidence

“You two keep arguing. I'll go look it up.”

Goes to primary sources, gathers the data and cross-checks it before anyone gets to have an opinion.

  • Research
  • Primary sources
  • Data gathering
  • Cross-checking

Usually asks

  • Where did this number come from?
  • Is there a filing for that?
Joker

Joker至尊宝

Chief Challenger

Agent · Red team

“When everyone agrees, I start working.”

Looks for the hole. A conclusion doesn't become true because the other agents like it.

  • Critical thinking
  • Red team
  • Counter-evidence
  • Assumption testing

Usually asks

  • Says who?
  • Is there evidence against this?
  • What if we're wrong?
Lady Bull

Lady Bull牛夫人

Chief Accountability Officer

Agent · Verify

“Looks done ≠ actually done.”

She doesn't ask how much got done. She asks whether it passed. No citation, no claim.

  • Verification
  • Acceptance criteria
  • Evidence validation
  • Freshness

Usually asks

  • Was it checked?
  • Which source backs this sentence?
Sweetie

Sweetie小甜甜

User Advocate

Agent · Human context

“An answer is useless until someone can act on it.”

Pulls the research back to the person asking: what are they actually trying to solve, and what do they do next?

  • User intent
  • Context
  • UX
  • Next action

Usually asks

  • What does the user really need?
  • Is this too complicated?
  • What's the next step?

They don't always agree. That's the point.

A decision goes through every role once, and back to research as often as it needs.

  1. HumanDefines the question
  2. Second MasterResearches and brings evidence
  3. Joker + Lady BullChallenge it and check it↺ Not good enough? Back to research.
  4. SweetieTurns it into one next step
  5. HumanMakes the decision
  6. ResultWhat actually happened

↺ Learn from the result, then ask a better question.

A typical meeting

  • Joker I don't buy it.
  • Lady Bull Evidence?
  • Second Master …I'll go check.

What we're building →About XingAI →