Unified Results Hall · BossAgents Industrial AI

🤖

Result 1: Plan for AI

AI Task Scheduling · Seconds-scale Strike Gantt Chart

Live demo

While people sleep, AI works autonomously around the clock. Macro plans auto-decompose into agent ticket queues, running lights-out 24/7 — —— click “Start Night Shift” and watch bars hit 100% green in seconds.

🕐 Night Shift · Ticket Queue Gantt (staff array × minute-scale)

Waiting for scheduling…

✅ Delivered: all 4 night-shift tickets done —— process param repair ×2、cost report ×1、inventory checklist ×1,auto-archived & pushed to the daily business report.

📋 Scheduling mechanism

Macro plan → MTClaw 3-tier routing(L1 ~11ms,98% routing accuracy)
→ agent ticket queue (Process Repairer / Cost Optimizer / Inventory Inspector / Quality Inspector)
→ 90% onzero-cost rule engine,10% LLM fallback
→ results auto-archived; daily business report pushed 7×24h

📐

Result 2: 3D Clone & Mutate Diff

Clone & Mutate Diff Engine · Hard-Nums Reconciliation View

Demo sample

Demo sample:Impeller Ø100→120 is a demo parameter; the real mechanism (deep-copy of the business object tree + 2KB Mini-Skill Patch + 2,306-rule validation) is production-verified

No black-box gacha, no geometry hallucination. Deep-copy the legal business object tree; the LLM only emits a param-diff patch; the external gateway compiles in seconds and reshapes the 3D process skin.

① CLONE parent

Old impeller · Ø100

Machine Skill Machine Skill parent (lightweight 3D)

② MUTATE diff

Mini-Skill Patch(2KB JSON)

"op": "replace" "path": "/params/torque_nm" "value": 85 150 "op": "replace" "path": "/geometry/outer_dia" "value": 100 120 "op": "add" "path": "/params/feet_per_rev" "value": 0.42

③ GENERATE compare

New impeller · Ø120

params after 2,306 rules optimized, surface params highlighted

🔄

Result 3: Govern While You Operate

Continuous Data Governance · Invisible Bleed-Point Cleaning Board

Demo sample

Demo sample:Log lines are demo script; the mechanism (millisecond-gap rule intercept / clean / fix) is production-verified

No shutdown for data cleaning. In the millisecond gaps of business flow, the rule engine auto-intercepts, cleans and fixes dirty data — enterprise data assets get healthier with use.

📜 Governance log (streams in execution gaps)

— — waiting for business flow — —

📊 Governance results

0

dirty data cleaned today

0

material codes normalized

0

dormant assets revived

Governance never interrupts business: a probe runs before/after each ticket, intercepting and fixing in millisecond gaps.

🧬

Result 4: Self-Healing & Evolution

Self-Healing & Evolution Flywheel · Evolution Flywheel

Demo sample

Demo sample:Template count is a demo counter; the mechanism (success → template fixation / failure ×3 rigid circuit-break isolation / human-in-the-loop decision) is designed & implemented

Successes auto-fix into new templates; 3 consecutive failures trip a rigid circuit-break with safe isolation. The system speciates itself while unattended — smarter with every use.

🌀 Evolution Flywheel(digital assets keep accumulating)

5,082

Standard gene templates accumulated
(auto +1 per successful generation +1)

🛡️ Human-in-the-Loop · Rigid Circuit-Break Isolation Zone

Success path: solver OK → auto-fix to new template → flywheel +1

Failure path: 3 consecutive failures → rigid circuit-break → task isolated safely, no side effects

Escalation path: isolated task raises 🔴 alert → boss (Mr. Fang) makes the final call

🔴 Circuit-break alert: solver failed ×3, task isolated safely

Isolation zone locked the ticket, no side-effect spread. Final call by the boss (Mr. Fang): rollback / manual takeover / mark as known issue.

→ Human-in-the-Loop(Human-in-the-Loop)rigid backstop — automation always has a brake.

🏆 Legacy industrial software, dimensionally crushed (all traceable)