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System Status
Online: 3K+ Agents Active
Digital Worker 7 AI Agents Active

SmartConfig AI - Intelligent Heating Solution Designer

SmartConfig AI orchestrates 7 specialized AI agents that work in parallel to automate the entire configuration workflow. From natural language requirements input to validated technical specifications, material selection, thermal analysis, pricing optimization, and CAD generation - all delivered in minutes with 96%+ confidence scores.

7 AI Agents
5 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: smartconfig-ai

Problem Statement

The challenge addressed

Traditional heating solution configuration requires extensive manual engineering effort, spanning weeks of back-and-forth communication between sales, engineering, and customers. Engineers must manually validate specifications, calculate thermal requ...

Solution Architecture

AI orchestration approach

SmartConfig AI orchestrates 7 specialized AI agents that work in parallel to automate the entire configuration workflow. From natural language requirements input to validated technical specifications, material selection, thermal analysis, pricing opt...
Interface Preview 4 screenshots

Requirements input form for heating solution configuration with AI analysis preview.

Analysis complete dashboard with LangGraph execution DAG and tool invocation timeline.

End-of-Scenario Results Summary showing completed workflow stages and metrics.

Technical validations panel with watt density and power configuration results.

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

7 Agents
Parallel Execution
AI Agent

Orchestrator Agent

Complex multi-step engineering workflows require coordination between multiple specialized systems and processes, with dependencies that must be managed to ensure proper execution order.

Core Logic

The Orchestrator Agent serves as the master coordinator, parsing incoming configuration requests, planning the optimal agent execution sequence based on dependencies, and dispatching tasks to specialized agents. It manages the workflow state, handles inter-agent communication, and ensures all agents complete their tasks before proceeding to the next phase.

ACTIVE #1
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AI Agent

Requirements Analyzer Agent

Customer requirements come in various formats and levels of detail, often containing implicit assumptions or missing critical specifications that lead to engineering rework.

Core Logic

This agent parses and normalizes user requirements against engineering constraints. It validates power specifications against voltage and phase configurations, checks temperature ranges for medium compatibility, identifies application category implications, and flags any conflicts or missing information. The agent uses specialized tools including validate_power_spec and check_temperature_range to ensure completeness.

ACTIVE #2
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AI Agent

Specification Validator Agent

Heating element specifications must comply with safety standards and physical limits. Incorrect watt density, improper material selection for operating conditions, or non-compliant configurations can lead to equipment failure or safety hazards.

Core Logic

The Specification Validator performs comprehensive technical validation against safety standards including IEC 60335-2-73 and ASME BPVC. It calculates watt density and optimizes element configurations when limits are exceeded, verifies certification requirements (CE, UL, ATEX, CSA), and checks safety standards compliance. When specifications exceed safe limits, it automatically optimizes the configuration.

ACTIVE #3
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AI Agent

Material Expert Agent

Selecting the right materials for heating elements requires deep knowledge of chemical compatibility, corrosion resistance, temperature ratings, and cost tradeoffs across thousands of alloy profiles.

Core Logic

The Material Expert queries a database of 2,847+ alloy profiles to analyze chemical properties of the heating medium and recommend optimal materials. It calculates corrosion rates for specific medium-material combinations, evaluates temperature ratings, and provides alternatives with compatibility scores. Recommendations include 1.4404 SS (AISI 316L), Incoloy 800, and cost-effective alternatives with detailed notes.

ACTIVE #4
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AI Agent

Thermal Engineer Agent

Thermal design requires complex CFD simulations and heat transfer calculations that traditionally take hours or days to complete, delaying the quotation process.

Core Logic

This agent runs ML-accelerated CFD simulations for power and flow rate configurations, calculates heat transfer coefficients, and optimizes element layouts for uniform heat distribution. It computes thermal metrics including heat flux, Nusselt number, Reynolds number, and surface temperatures. The agent validates efficiency targets (typically 98%+) and expected lifetime based on watt density optimization.

ACTIVE #5
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AI Agent

Pricing Engine Agent

Accurate pricing for custom heating solutions requires real-time data from ERP systems, knowledge of manufacturing capacity across multiple facilities, volume discount structures, and material surcharge calculations.

Core Logic

The Pricing Engine queries ERP pricing systems for product families and volumes, checks manufacturing facility capacity across 87+ global sites, applies volume discount tiers (8-22% based on quantity), and calculates urgency surcharges. It generates multi-tier pricing tables with lead time estimates based on facility utilization and material availability.

ACTIVE #6
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AI Agent

CAD Generator Agent

Creating technical documentation packages including 3D models, 2D drawings, and specification sheets traditionally requires significant CAD engineering time and is a bottleneck in the quotation process.

Core Logic

The CAD Generator loads parametric CAD model templates and generates customized 3D STEP models with thermal simulation data, 2D DWG drawings with GD&T annotations, technical datasheets, wiring diagrams, and CE declarations. All documents are generated automatically based on the validated configuration and ready for immediate download.

ACTIVE #7
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

SmartConfig AI is a multi-agent agentic system that transforms heating solution configuration from a weeks-long manual process into an automated AI-driven workflow. The system guides users through a 7-step process: Launch, Requirements Input, AI Processing, Analysis Review, Solution Recommendations, Quote Generation, and Final Summary with downloadable deliverables.

Tech Stack

5 technologies

Modern frontend with standalone components

RxJS-based state management with BehaviorSubject patterns

Integration with ERP systems for real-time pricing and inventory

CAD system integration for STEP, DWG, and DXF file generation

WebSocket support for real-time agent orchestration visualization

Architecture Diagram

System flow visualization

SmartConfig AI - Intelligent Heating Solution Designer Architecture
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