About Me
My Experience
This site documents how I actually work with AI.
Not in theory.
Not as advice.
And not through productivity hype or social media narratives.
My background is rooted in document-heavy, judgment-driven work: investigations, incident response, and structured analysis. Over time, the core problem was not effort or expertise—it was friction. Manual extraction, repetitive analysis, brittle automation, and constant context switching consumed attention without adding value.
This blog exists to make that process visible.
What This Blog Covers
This is not a prompt library or a guide to “10x productivity.” I do not treat AI as a replacement for expertise or judgment.
Instead, I focus on:
- How AI reduces friction in real workflows
- Where automation breaks down
- How human judgment and system design interact
- What actually changes over time, not overnight
Some experiments succeed. Others fail. Both are documented.
How I Use AI in Practice
AI did not replace my thinking. It made certain types of work less labor-intensive.
In practice, that includes:
- Assisting with structured data extraction from unstructured sources
- Supporting reasoning around edge cases and system design
- Accelerating drafting and iteration, not decision-making
- Enabling automation where scripts alone were too fragile
- Developing PowerPoint slides, including content structure and visual layout
- Assisting with UI layout decisions and component placement
- Creating and iterating on graphics and visual assets
- “Vibe coding” enterprise applications to rapidly explore workflows, interfaces, and system behavior before formal implementation
Who This Is For
This site is written for operators and practitioners—people working inside systems, not just describing them.
If you’re looking for shortcuts, guarantees, or generalized advice, this may not be useful. If you’re interested in practical AI workflows, constraints, and tradeoffs, you may find it relevant.