TASK ORIGIN
Plan Dynamically. Keep Complex Engineering Work Moving.
MOZI understands the engineering goal, plans dynamically, invokes capabilities, advances execution, and interprets results so engineers can command more complex work

Keep the Entire Task Thread Moving around One Engineering Goal
MOZI connects plans, capabilities, states, and results so complex engineering work keeps moving from goal to delivery
ENGINEERING TASK AGENT
MOZI
TASK OUTCOME
Engineering Results and Action
Generate Comparable Task Plans from the Engineering Goal
MOZI brings goals, constraints, resources, and validation requirements together, generates alternative paths, and lets engineers confirm the critical plan

Alternative planning
Generate paths that balance speed, coverage, and completeness
Comparable tradeoffs
Surface task scope, compute commitment, and critical risk together
Engineer confirmation
Select, combine, or adjust the plan before execution
Connect Every Task Step to the Right Engineering Capability
MOZI matches Engineering Apps to the current task state and organizes models, parameters, and engineering objects for execution

Capability matching
Connect the right Engineering App to the goal and current state
Direct object connection
Keep models, geometry regions, and parameters in one task context
Input-state confirmation
Track critical inputs as the task moves into execution
Advance the Execution Path as Task State Changes
MOZI tracks tasks, dependencies, and runtime results, locates anomalies, and updates the plan for what comes next

Continuous state tracking
Keep tasks, steps, ownership, and runtime progress synchronized
Fast anomaly localization
Identify the failed step, impact, and viable continuation path
Dynamic path updates
Use new results to revise the plan and coordinate the next calls
Turn Computational Results into Judgment and Action
MOZI combines goals, operating conditions, boundaries, history, and acceptance rules to form conclusions, risk judgments, evidence, and next actions
ENGINEERING RESULT
Wheel Impact Condition | RESULT V12
Above target threshold
Acceptance baseline
Localized concentration
MOZI | ENGINEERING INTERPRETATION
Form judgment with complete engineering context
ENGINEERING FEEDBACK
Conclusion, risk, evidence, and action formed together
CONCLUSION
Move the design into targeted optimizationConnect critical metrics to the target threshold
RISK
Stress concentration at the spoke rootLocate the risk region and its impact
EVIDENCE
Conditions, versions, and thresholds connectedTie judgment to the complete task record
NEXT ACTION
Revise the structure and rerunLet results directly drive the next engineering action
From Single Actions to Intelligent Advancement of Complex Tasks
Extend from one operation to a multi-stage task thread
Adapt the plan to the goal, state, and new results
Coordinate Engineering AI, Apps, and professional workspaces
Move results into judgment, improvement, and the next step
Engineers Lead the Critical Judgments. Evidence Runs through the Task.
Goal alignment
Keep planning and execution aligned with the goal and acceptance criteria
Critical checkpoints
Put engineers in command of plan selection, boundary judgment, and acceptance
Visible plan and state
Synchronize task versions, execution paths, and current state
Traceable evidence
Connect capability calls, runtime results, and engineering judgment
UNIFIED ENGINEERING AI PLATFORM
Tasks, data, models, knowledge, workflows, compute, and evidence operate on one technical foundation
Three Products Work Together to Keep Engineering Capability Evolving
GEWU elevates professional capability, LUBAN scales proven capability, and MOZI advances complex tasks intelligently
One shared Engineering AI platform, engineering context, and trusted evidence
Enter by task · Collaborate across the capability lifecycle
Elevate professional capability
Combine integrated modeling, design-space exploration, and Engineering Intelligence to extend the boundaries of problem expression, solution exploration, and task advancement, then capture validated outcomes as Engineering Apps.
KEY OUTCOME
Trusted Conclusion · Validated Method · Engineering App · Professional Engineering AI
Scale proven capability
Use AppStore to discover Engineering Apps and Workbench to compose them into Runtime Units that serve more tasks, teams, systems, and AI agents.
KEY OUTCOME
Engineering App · Runtime Unit · Standard Result · Runtime Record
Advance complex tasks intelligently
Understand the goal, plan tasks dynamically, invoke engineering capabilities, track execution, and interpret results so engineers can command more complex work.
KEY OUTCOME
Task Plan · Engineering Judgment · Next Action · Execution Record
CAPABILITY FEEDBACK
Runtime results, engineering feedback, and new questions return to GEWU to upgrade methods, Engineering Apps, and professional Engineering AI; new versions run at scale in LUBAN and are invoked by MOZI
Connect capability elevation, reuse at scale, and intelligent task advancement so engineering capability keeps evolving
Task results, engineering feedback, and new questions return to GEWU and LUBAN to improve methods, Engineering Apps, and Runtime Units
