Technical Resources
From AI demonstrations to measurable systems
Research-based methods, reference architectures, and technical examples for evaluating agentic AI, robotics, edge intelligence, and computational simulation.
This library connects practical engineering questions with published research and reproducible software. It separates demonstrated results from reference designs and work still under development.
Engineering questions addressed
Resources are organized by the decisions technical teams need to make, rather than by technology labels alone.
Reliability and workflow evaluation
How can tool-using agents be tested for correct actions, authorization boundaries, failure recovery, and observable state changes before operational deployment?
Robotics and edge intelligence
How should perception, inference, supervisory control, and fallback mechanisms be separated and assessed in a robotic or industrial system?
Computer vision and inspection
What evidence is needed to evaluate defect detection, false negatives, robustness to changing conditions, inference latency, and inspection throughput?
Agent-based models and computational experiments
How can synthetic populations, controlled experiments, and sensitivity analysis help assess mechanisms and decision alternatives when direct experiments are constrained?
Published research and software
These resources have public, persistent source links. Software is presented as a reproducible training and research artifact, not as a certified production deployment.
MCP-Based Agentic Workflow for Enterprise Maintenance Training
A reproducible enterprise-workflow example integrating LangGraph orchestration, MCP tools, synthetic invoice operations, an optional model summarization layer, and maintenance and evaluation materials.
Verification of Adaptive Agentic Controllers through Finite Rule Revision
Research on bounded behavioral verification, diagnostic predicates, local rule revisions, and held-out re-evaluation of adaptive controllers. The experimental setting is a stylized inventory-control simulation.
In editorial and technical review
The following resources are being refined for public release. Download links will be added only after reference checks, editorial review, and publication of stable files.
Agentic AI Evaluation Protocol
Scenario specification, tool-use correctness, authorization checks, fault injection, statistical uncertainty, and release decision criteria.
Robotics and Edge AI Reference Architecture
Perception and inference interfaces, supervision, measurement requirements, and a proposed benchmark approach for edge-enabled inspection.
MCP Invoice Agent: A Source-Level Case Study
Evidence from executable source-level tests, including a clear boundary between tested tool behavior and full-workflow measurements that remain pending.
Industrial Vision Evaluation Framework
An application-oriented framework for inspection accuracy, operating-point selection, changing imaging conditions, and resource-constrained inference.
How technical evidence is established
The publication method emphasizes traceable claims, measurable outcomes, and explicit limitations. A reference architecture is a design artifact; it is not evidence that an industrial system has been implemented or certified.
Specify the operational task, system boundary, assumptions, and what would constitute success or failure.
Identify baselines, scenarios, observable outcomes, critical events, and relevant performance metrics.
Record source versions, environments, data provenance, execution traces, and uncertainty where applicable.
Distinguish measured findings, simulated illustrations, unexecuted tests, and proposed extensions.
Industry and academic context
Selected independent sources inform the evaluation questions and the broader application context. Their inclusion does not imply endorsement of Bamboos Consulting or validation of a particular implementation.
- NIST · AI Risk Management FrameworkRisk framing and evaluation practice
- Macenski et al. · ROS 2 architecturePeer-reviewed robotics systems research
- Intel · OpenVINO documentationModel optimization and edge deployment
- International Federation of RoboticsRobotics industry data and reporting
- McKinsey · State of AI 2025Survey evidence on AI adoption and scaling
- Deloitte · State of AI in the EnterpriseExecutive survey on AI implementation and value
Discuss a feasibility or evaluation problem
Typical starting points include an agent evaluation protocol, a robotics or edge-AI architecture review, a controlled pilot, or a simulation-based assessment of alternatives. Scope and deliverables are defined against the specific technical question.
Explore AI consulting and discuss a project
Bamboos Consulting is an independent consulting and research practice. References to external research, companies, or products do not imply affiliation or endorsement.
