100 days. 100 projects. One LLM prompt at a time.
Each post here is a project built with AI assistance — browser extensions, bots, tools, dashboards, analyzers. Some took an afternoon. Some fought back. All of them taught me something about what these tools are actually good at, and where they fall short.
The rule: build something real, ship it, write about it honestly.
A personal reader app for Adam Smith's Wealth of Nations — click any paragraph, ask Gemini questions about it in the full chapter context. Built in one session with Claude Code.
I scraped all 128 episodes of the EiE podcast and built reference spreadsheets for every book, song, and article recommended. Here's how.
A local Flask tool for APK security analysis — parses permissions, scans for secrets, fingerprints SDKs, and checks crypto usage. Nothing leaves your machine.
KaggaBot uses GitHub Actions as a free scheduler to post two Mankutimmana Kagga verses to Mastodon every day — no server, no cost, no babysitting.
Tried to build a home Icecast radio server to stream MP3s to my phone. What actually happened: four Docker containers, a Mega.nz dead-end, and a surprisingly working result.
Built a Mastodon bot to post DVG's Mankutimmana Kagga — 945 verses of Kannada philosophy — twice daily with transliteration and English explanation.
SlashSec pulls live RSS from five trusted security sources and uses Cloudflare Workers AI to generate summaries, severity ratings, and Slashdot-style dept. lines — no API key required.
A browser app that walks you through curl's internals — DNS, TLS, cookies, redirects — with AI explanations tuned to your experience level and progress tracking.
A browser-based flashcard simulator with 80+ cards for Director-level cybersecurity interview prep — covering risk, governance, STAR storytelling, and leadership vocabulary.
Scraped 165+ episodes of Think Fast, Talk Smart and used an LLM to distil each guest's core advice into 7 words or less, then assembled it into a video montage.