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How I Build Products Alone with AI: From Idea to Launch
A practical process for using AI across research, planning, development, testing, and launch while keeping product judgment and responsibility human.
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Systems, shipping, and small upgrades—made with calm focus. Less hype, more craft. Built to be used.
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How to Trust AI-Generated Code: 8 Verification Rules for Solo Builders
Facing hidden mocks, duplicate components, and silent database drops while building AttractiveWebAI and Shopify apps. Here are 8 hands-on verification principles for AI coding.
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PMP Pass Review Part 2: Time Management on Exam Day and Final Tips for Passing
Sharing the actual experience of taking the PMP exam at the Pearson VUE center, managing the first 60 questions, taking 10-minute breaks, reviewing error logs right before the exam, and what to prepare.
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PMP Pass Review Part 1: 7-Week Preparation and Journey from 60s in Study Hall to PASS
A summary of the 7-week study process for passing the PMP exam on July 3, 2026, using online lectures, PMI Study Hall, error logs, GPT, and NotebookLM.
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Beyond Copilots: Why AI Agents Changed My Daily Workflow
Smarter autocomplete was only the beginning. The shift to autonomous terminal-based AI agents has changed how I build, debug, and ship software.
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Speed in the AI Era: How I Built Three Products in Weeks
In the past, launching a software product took months of engineering. Here is how I designed, built, and shipped three digital products in weeks using AI.
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Claude Code vs Cursor: A Builder's Deep Dive
Having spent months building real software with both, here is a detailed breakdown of terminal-native Claude Code versus IDE-native Cursor.
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Why Every PM Should Learn AI Automation
Product management is notorious for coordination overhead. By building lightweight AI automation pipelines, PMs can reclaim focus and build better products.
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The End of Prompt Engineering?
As models become more robust and developers transition to agentic workflows, the era of prompt hacking is ending. The future belongs to systems engineering.
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MCP Will Become the USB-C of AI Applications
In the fragmented landscape of LLM integrations, the Model Context Protocol (MCP) is emerging as the unifying open standard that links models to data sources and tools.