Why I Built ThinkAloud: Capture First, Organize Later
The problem behind ThinkAloud: why ideas rarely arrive at a keyboard, and why the right workflow is to capture first and organize later.
Read more →Building in public and sharing what I learn.
Start with the story behind Lumi: why I left enterprise product work, what problem I wanted to solve, and how the project began.
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The problem behind ThinkAloud: why ideas rarely arrive at a keyboard, and why the right workflow is to capture first and organize later.
Read more →A short update about Lumi's first post-launch release, advanced recurring reminders, Pause Until, and the careful checks behind a stable release.
Read more →A practical look at ADHD-friendly reminder app design, and how AI reminders can reduce friction while keeping users in control.
Read more →A practical walkthrough for making a solo developer website discoverable by Google, from public URLs and sitemap setup to Search Console indexing checks.
Read more →How I traced a Google Play release warning to native library ELF alignment, fixed the SQLCipher dependency, and verified the Android 16 KB page size requirement before release.
Read more →A short build-in-public note about stepping away after launch pressure, taking a family trip, and returning to the work with healthier distance.
Read more →The launch-week story of submitting Lumi to Google Play, waiting for review, and seeing the app go live after three months of solo building.
Read more →How a solo product builder used different AI tools as a practical development team, and what that workflow taught me about speed, review, and control.
Read more →How an intermittent recurring-reminder bug led to 14 rounds of testing, a small metadata fix, and a sharper release process before launch.
Read more →Why I started this project, what problem I wanted to solve, and how Lumi gradually became an AI-powered reminder assistant.
Read more →What closed testing taught me about finding testers, waiting through the Google Play timeline, handling feedback, and shipping as a solo developer.
Read more →How Lumi protects reminder tasks from LLM mistakes by showing the created result, keeping the chat compact, and giving users a direct path to inspect and correct details.
Read more →The less visible work behind publishing a solo Android app: store setup, testing tracks, subscriptions, privacy materials, crash reporting, and release discipline.
Read more →Why recurring reminders should stay simple: natural-language setup, visible results, easy pause and restart, and less productivity-system overhead.
Read more →How testing became part of product development for Lumi, from natural-language edge cases to reminder state, notifications, and release risk.
Read more →How Lumi's early Flutter interface moved from rough prototype to a clearer, calmer experience through AI-assisted design iteration.
Read more →Why Lumi needed a proxy between the mobile app and AI providers, and what I learned about security, reliability, latency, and abuse prevention.
Read more →A solo developer's hands-on record: a personal app agent should not copy enterprise architecture — good enough is better. From requirements analysis, a two-level model design, intent recognition, a lean tool system, and local-first data, to the release gates on Google Play, the full journey of an AI-native personal app from zero to launch.
Read more →Why Lumi uses a two-stage router and specialist approach instead of sending every request through the same heavy AI path.
Read more →The hard part of a reminder app is not the first screen. It is state. Lessons from building Lumi's reminder engine.
Read more →A paid consulting project helped cover real costs, but it also exposed the focus, momentum, and energy tradeoffs of building an indie product alone.
Read more →A solo developer's notes on using AI coding tools to turn messy bug symptoms into structured root-cause maps — not faster code, so much as clearer thinking.
Read more →Why traditional to-do lists often create too much maintenance for busy people, and how AI reminders can make capturing daily intent lighter and more reliable.
Read more →Why building an AI reminder app required workflow design, structured state, confirmation, and product logic beyond prompt writing.
Read more →Why Lumi is designed less like a traditional to-do list and more like a small personal assistant that turns daily intent into reliable action.
Read more →Why a personal AI reminder app can earn trust by keeping the first experience local-first instead of starting with accounts, sync, and cloud storage.
Read more →How a broad personal assistant idea became a focused MVP scope built around one reliable reminder loop.
Read more →Why useful AI assistants should not stop at conversation, and how personal productivity tools can turn intent into visible, editable action.
Read more →The starting point of building Lumi in public: moving from enterprise software experience to a focused solo product around natural-language reminders.
Read more →A practical comparison of phone alarms and AI reminders, and when each one fits daily life better.
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