Delivering Measurable AI Impact — In Front of Your Eyes
I explore how AI solves real-world problems and document the entire journey. Here, you’ll find transparent case studies, hands-on guides, and tools built to drive actual outcomes. Open to technical collaborations and speaking opportunities—let’s connect.
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Practical AI Tools to Start With
Good tools are the starting point for everything. Discover practical AI tools designed for technical users. Each tool is documented and ready for integration. Explore solutions for automation, prompt engineering, and more.
AI Creations Showcase to Know What AI Can Do
See what AI can create with your own eyes. A curated selection of products and projects built with AI that demonstrate how AI contributes to delivering real features and business outcomes. Browse case studies, implementation notes, and impact metrics.
AI Perception Master
Building the Future of Tech Blogging: How I Co-Authored a “Perception Engine” with AI In the era of “AI-slop”—generic, uninspired content flooding our feeds—how do tech writers maintain an edge? The answer isn’t writing without AI, but writing with better tools that enforce high-performance standards.
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TyperMate
Solving the Multilingual Keyboard Puzzle: Building TyperMate for macOS For power users and multilingual writers, the keyboard is the most important tool. But on macOS, switching input methods can often feel slow or unpredictable. Over a weekend project, I collaborated with AI to build TyperMate, a premium utility designed to make macOS keyboard navigation feel exactly how you want it.
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Technical Insights & Blogs to Dive Deep
Dive into hands-on guides, implementation walkthroughs, and real-world AI use cases. Our blogs cover everything from deploying open-source models to integrating AI into existing systems, with practical code samples and troubleshooting tips.
Do LLMs Have Personalities? Or Even a Soul?
How Could LLMs Have Personalities? We know the personalities of our friends. But how to know an LLM’s personality, especially when they adapt their responses to match our input? (Perhaps Claude are somewhat sycophantic though.)
Read MoreTuning Prompts Without Seeing Input or Output
Is It Possible to Tune Prompts Without Seeing the Input and Output? Tuning prompts without knowing input and output may sounds as silly as writing down the right answer without knowing the question.
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Why You Should Build AI Agents with Ollama First
The AI PoC Paradox: High Effort, Low ROI Building AI Proofs of Concept (PoCs) has become routine in many DX departments. With the rapid evolution of LLM models, more and more AI agents with new capabilities come every day. But Return on Investment (ROI) doesn’t change in the same way. Why is that?
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Rethinking AI Agent Deployment: Start with Job Design, Not Just Technology
As companies accelerate their adoption of AI, many organizations are leveraging frameworks such as MCP (Model Control Platform) and A2A (Agent-to-Agent) from major LLM vendors. These tools support AI agent collaboration and contextual understanding, but are fundamentally LLM-centric rather than business-centric.
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MCP: Standardizing How AI Interacts with the World—But Capability Negotiation Remains Unsolved
Even though MCP aims to be like a USB-C protocol, differences in knowledge and context windows between LLMs are fundamental barriers. Simply standardizing the exchange of function lists is not enough.
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Open for a Talk: Technical Collaboration
Ready to discuss your technical challenges, share ideas, and collaborate on AI solutions. No business pitch—just open, honest technical exchange.
- Discovery & Assessment: Understand project objectives and identify AI opportunities.
- Strategic Planning: Recommend initiatives aligned with your technical goals.
- Proof-of-Concept Implementation: Build and share working prototypes.
- Integration & Optimization: Collaborate on safe, efficient, and secure solutions.