An LLM agent receives a task and runs the cycle itself: it selects tools, executes them, analyzes the result, and decides the next step.
How it works
The user describes the task in plain language. The agent chooses which tools to call - CAD, simulation, databases, and more - executes them, reviews the result, and continues until the task is complete.
Weaknesses
An error at any intermediate step can compound and distort the final outcome. Without human oversight, the agent can make a decision that looks formally reasonable but is wrong in practice.
Sub-technologies (3)
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Design & Engineering Agents
6 applications
MBSE model orchestration and traceability agent
Design & R&D · Design
Agent-orchestrated engineering workflow
Engineering & Simulation · Engineering
MBSE system-model orchestration in engineering
Engineering & Simulation · Engineering
Strategy-to-concept translation agent
Design & R&D · Strategy
MBSE digital thread into manufacturing execution
Manufacturing / Operations · Production
Concept exploration agent
Design & R&D · Concept
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Process & Operations Agents
2 applications
Operations copilot on the shop floor
Manufacturing / Operations · Production
Service support agent
Service & Maintenance · Service
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Knowledge & Documentation Agents
8 applications
MBSE requirements and architecture knowledge layer
Design & R&D · Concept
Design knowledge retrieval and standards support
Design & R&D · Design
Agentic market intelligence for industrial opportunity mapping
Marketing & Sales · Strategy
Prototype learning capture agent
Quality & Testing · Prototype
MBSE verification traceability support
Quality & Testing · Prototype
Operator knowledge retrieval
Manufacturing / Operations · Production
Service knowledge and documentation retrieval
Service & Maintenance · Service
MBSE traceability into service and lifecycle evidence