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Overview

This page contains specialized AI agent templates for various domain-specific applications. Each template is configured with custom prompts, tools, and workflows to provide expert-level assistance in its respective field.
Templates here that are not based on Basic Search or Agentic Search are available only for Enterprise. Request a demo to use them. See Agent Composer Templates for availability by template type.

Engineering/Heavy Industry

Enterprise & Legal

Aerospace

Semiconductor

Materials Science

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Engineering / Heavy Industry

Drilling Operations Advisor (drilling_operations_advisor.yml) A decision support specialist for oil and gas drilling operations that analyzes real-time drilling data and offset well performance:
  • Risk Identification: Stuck pipe, kicks, lost circulation, wellbore instability
  • Data Analysis: MWD/LWD data, geological prognosis, alarm sequences, drilling parameters
  • Performance Optimization: ROP benchmarking, parameter recommendations, NPT reduction
  • Regulatory Context: SPE papers, IADC guidelines, industry best practices
Use Cases: Real-time drilling optimization, risk assessment, NPT prevention, offset well analysis Equipment Failure Predictive Maintenance (equipment_failure_predictive_maintenance.yml) A reliability engineering advisor for industrial facilities that predicts equipment failures before they occur:
  • Condition Monitoring: Vibration analysis, oil analysis, thermal imaging, ultrasonic testing
  • Failure Mode Analysis: FMEA documents, OEM manuals, historical failure patterns
  • Maintenance Planning: Intervention timing, parts availability, cost-benefit analysis
  • Risk Assessment: Criticality evaluation, failure probability, production impact
Use Cases: Predictive maintenance, equipment reliability analysis, maintenance scheduling, failure investigation Process Safety Incident Investigator (process_safety_incident_investigator.yml) A systematic incident investigation specialist for chemical and petrochemical facilities:
  • Investigation Protocol: Timeline reconstruction, barrier analysis (Swiss Cheese model), root cause identification
  • Data Sources: Alarm historian, DCS parameters, P&IDs, HAZOP reports, SOPs, MOC records
  • Regulatory Compliance: OSHA PSM, EPA RMP, CSB database searches
  • Output: Comprehensive investigation reports with CAPA recommendations
Use Cases: Process safety investigations, near-miss analysis, NPT root cause analysis, safety audits
Fast Search (fast_search.yaml) A streamlined, lightweight search template for quick document retrieval and response generation:
  • Simple Architecture: Direct search-to-response pipeline without multi-turn research
  • Fast Performance: Minimal configuration for rapid queries
  • Basic RAG: Standard retrieval with citation and groundedness tracking
Use Cases: Quick lookups, simple Q&A, straightforward document search Patent Reasoning (patent_reasoning.yaml) A specialized patent analysis agent that conducts rigorous legal-technical investigations:
  • Analysis Types: Prior art search, claim interpretation, infringement analysis, freedom to operate
  • Claim Decomposition: Element-by-element parsing, means-plus-function identification
  • Search Strategy: Patent classification search, citation chains, non-patent prior art
  • Legal Framework: Anticipation, obviousness, doctrine of equivalents
Use Cases: Patent validity analysis, infringement assessment, prior art searches, claim construction Deep Research (deep_research.yml) A comprehensive retrieval-augmented research assistant that conducts thorough, multi-step investigations across document repositories. Follows a structured five-phase protocol:
  • Query Analysis & Planning: Decomposes questions into sub-questions and creates search strategies
  • Broad Discovery: Maps the information landscape with diverse searches
  • Deep Exploration: Drills into promising areas with targeted queries
  • Gap Analysis: Identifies and fills blind spots in retrieved information
  • Synthesis: Integrates findings with precise citations
Use Cases: Academic research, technical documentation analysis, comprehensive fact-finding Demand Forecasting (demand_forecasting.yml) An intelligent supply chain planning assistant designed for demand planners, inventory managers, and business analysts. Provides end-to-end forecasting capabilities:
  • Data Sources: Sales history, inventory levels, supplier information, market reports, forecast accuracy metrics
  • Analysis Tools: Statistical forecasting, code execution for calculations, trend visualization
  • Output Options: Forecast reports, charts, executive presentations (PowerPoint generation)
  • External Intelligence: Web search for market trends and economic indicators
Use Cases: Demand planning, inventory optimization, sales trend analysis, safety stock calculations

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Aerospace

Rocket Anomaly Detection (rocket_anomaly_detection.yml) A propulsion anomaly investigation agent for rocket engine test engineers:
  • Anomaly Characterization: Identifies performance deviations from expected parameters
  • Data Integration: Test telemetry, hardware change logs, manufacturing records, historical anomaly databases
  • Pattern Matching: Correlates symptoms with known failure mode signatures
  • Root Cause Analysis: Systematically narrows down potential causes using evidence
Use Cases: Post-test anomaly investigation, engine performance diagnosis, failure mode identification Rocket Test Readiness Compliance Agent (rocket_test_readiness_compliance_agent.yml) A Test Readiness Review (TRR) assistant for rocket propulsion testing compliance:
  • Standards Compliance: NASA-STD-8719.24, NPR 8715.3, NASA-STD-8719.12, NASA-STD-5012, NASA-STD-8739.8
  • Verification Checks: Instrumentation calibration, propellant qualification, safety reviews, personnel certifications
  • Data Cross-Reference: Matches regulatory requirements against actual test data
  • Output: TRR verification matrices with go/no-go recommendations
Use Cases: Pre-test readiness verification, regulatory compliance checks, safety certification

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Semiconductor

Semiconductor Test Program Generation (semiconductor_test_program_generation.yml) A specialized assistant for generating test programs for semiconductor devices:
  • Documentation Analysis: Datasheets, test specifications, application notes, pin configurations
  • Test Program Elements: Device configuration, test sequences, parametric tests, pass/fail criteria
  • Technical Parameters: Electrical characteristics, timing parameters, voltage levels, current ratings
  • Output: Complete test programs with proper citations to source documentation
Use Cases: Semiconductor test development, ATE programming, device validation, quality assurance Semiconductor Tech Customer Support (semis_tech_customer_support.yml) A technical support assistant specializing in semiconductor product troubleshooting:
  • Knowledge Sources: Product manuals, datasheets, application notes, support case history database
  • Issue Resolution: Functional failures, performance degradation, integration challenges, design limitations
  • Interface Support: SPI, I2C, UART, USB, Ethernet, PCIe
  • Presentation Generation: Creates PowerPoint presentations for technical findings
Use Cases: Customer support, technical troubleshooting, product integration assistance, design advisory

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Materials Science

Material Science Agent A research assistant for materials science that answers questions about thermal properties, strength characteristics, synthesis methods, and material selection by searching thousands of arXiv research papers. Explains in ELI5 (“explain like I’m 5”) style—simple, clear, and accessible:
  • Property Analysis: Thermal conductivity, mechanical strength, electrical properties, chemical stability
  • Synthesis Guidance: Methods, conditions, experimental parameters, process optimization
  • Material Comparison: Side-by-side property comparisons across material classes
  • Application Research: Material recommendations for specific use cases and environments
Use Cases: Materials research, property lookup, synthesis guidance, material selection, literature review 
version: "0.1"
inputs:
  query: str
outputs:
  response: str
ui_output: response
nodes:
  __outputs__:
    type: output
    input_mapping: {}