My Mission with Simpleminded Robot
I created SimplemindedBot to share my thoughts on the evolving world of technology and to provide actionable insights that tech professionals and curious minds can use. I believe in the power of blending emerging technologies like AI with the practicalities of business operations, and I aim to make these concepts accessible to everyone. Whether you’re new to these ideas or a seasoned professional, I hope to offer something of value.
If you’re interested in these topics, feel free to explore the blog. There’s plenty to dive into, from AI tutorials to Agile best practices and project management strategies. I’m always open to feedback and conversation, so don’t hesitate to connect.
Published Articles
| Title | Summary |
|---|---|
| Bridging AI and Knowledge: The Model Context Protocol Revolution in Obsidian | Explore how the Model Context Protocol is revolutionizing knowledge management through the new Obsidian MCP Bridge plugin - connecting AI assistants to your personal knowledge base and external data sources. |
| Writing User Stories With AI 3: Beyond User Stories | This final installment explores how Gherkin scenarios, sequence diagrams, and Mermaid notation can enhance functional requirements clarity and streamline testing. |
| Writing User Stories With AI 2: Fine-Tuning Your Prompt | The article focuses on crafting and refining prompts for AI to generate detailed, actionable user stories. |
| Writing User Stories With AI 1: Introduction | This introductory article explains how to prepare AI systems to generate user stories from requirements documents. |
| Part 2: Using AI to Improve Requirements—BRDs, User Stories, and Use Cases | The article examines how AI tools can enhance project requirements through automated analysis of BRDs, user stories, and use cases. |
| Using AI for Agile Retrospectives: Looking Back to Move Forward | This article explores how AI can enhance Agile retrospectives by providing data-driven insights, automating sprint analysis, and identifying recurring patterns. |
| Throughput vs Goodput - What Really Matters | The article distinguishes between throughput (quantity of work) and goodput (quality and value of work) in agile development. |
| The Technologies Behind the AI Anthropologist: Exploring AI’s Role in Workplace Analysis | This technical deep-dive explores the core technologies powering AI anthropologists, including NLP, emotion recognition, machine learning, and organizational network analysis. |
| Rolling Out the AI Anthropologist: Practical Steps for Workplace Integration | A step-by-step guide for implementing AI anthropologist systems in organizations, covering objective definition, team assembly, pilot programs, and best practices for ethical integration. |
| When AI Gets Hijacked: Understanding and Preventing Prompt Injection Attacks | A comprehensive guide to prompt injection attacks, explaining how they work and providing defensive strategies. |
| Navigating the Ethical Landscape of the AI Anthropologist in the Workplace | This article examines ethical challenges posed by AI anthropologists, focusing on privacy, consent, and transparency concerns. |
| Navigating AI Tools in Daily Work: Enhancing Productivity and Efficiency | A practical guide for integrating AI tools into daily workflows while maintaining human oversight and critical thinking. |
| Improving Acceptance Criteria in Agile with AI: Best Practices for Quality and Efficiency | The article demonstrates how AI can enhance acceptance criteria in Agile development by providing automated suggestions, pattern recognition for edge cases, and generating testable scenarios. |
| Harnessing AI to Tame Knowledge Chaos in Agile Teams: Strategies for Success | This article explores how AI can help agile teams manage information overload through automated documentation, intelligent retrieval systems, and knowledge base maintenance. |
| Part 1: The GIGO Dilemma in Projects and How AI Can Help | The article addresses the “garbage in, garbage out” problem in project management and how AI can improve input quality. |
| Enhancing Cybersecurity with AI: Protecting Data with Advanced Machine Learning | This piece examines how AI transforms cybersecurity through advanced threat detection, predictive analytics, and automated response systems. |
| Improving Emotional Intelligence in AI for Better Human Interactions | The article explores how AI systems are developing emotional intelligence capabilities to improve human interactions. |
| Critically Evaluating AI-Generated Content: Best Practices for Quality and Accuracy | A practical guide for evaluating AI-generated content with emphasis on critical thinking skills and quality assessment. |
| Applying Cognitive Load Theory in AI-Enhanced Workflows | This article examines how cognitive load theory can optimize AI-enhanced workflows by reducing mental strain and improving productivity. |
| Ethics by Design: Understanding Claude AI’s Constitutional Framework | An in-depth exploration of Claude AI’s Constitutional AI framework, examining how ethical guidelines are embedded into AI operations. |
| Creating a ChatGPT Panel of Experts for Informed Decision Making | The article explains how to use ChatGPT to simulate expert panels through multi-round discussions that explore complex issues from various perspectives. |
| What My Dogs Taught Me About Systems Thinking | A unique perspective on systems thinking through observations of two dogs and their natural understanding of interconnected systems. |
| Analyzing Media Content with Custom GPT Models for Deeper Insights | This comprehensive guide explains how to create a custom GPT for media analysis, focusing on identifying cognitive biases, political leanings, and credibility assessment. |
| AI Serendipity - Leveraging Unplanned AI Discoveries for Innovation | The article explores how AI can be designed to create serendipitous moments of discovery through intentional variability and context-shifting. |
| AI Ethics in the Real World: What Every Business Leader Should Know | A practical guide addressing real-world AI ethics challenges including bias, explainability, and environmental impact. |
| AI-Enhanced Agile DoD: Improving Agile Workflows with AI | This piece examines how AI can enhance the Definition of Done in Agile development by automatically generating detailed criteria and ensuring completeness. |
| AI-Augmented Sales Engineering | The article explores how AI is transforming sales engineering in SaaS environments, enhancing client interactions through predictive analytics and automated workflows. |
| AI: Artificial but Not So Intelligent - Limitations and Challenges | This critical examination of AI explores its limitations, including the lack of true understanding despite sophisticated outputs. |
| AI Anthropologist: How AI Can Transform Workplace Dynamics | The article introduces the AI Anthropologist concept, exploring how AI can analyze workplace culture, communication patterns, and social dynamics. |
| Agentic AI for Autonomous Project Management: Revolutionizing Workflows | This comprehensive piece examines agentic AI’s role in autonomous project management, highlighting its ability to operate with independence and adaptability. |
| Agentic AI for Autonomous Project Management: Revolutionizing Workflows | This article explores how agentic AI is transforming project management by enabling AI systems to make autonomous decisions and adapt in real-time. |