Why I Had to Build My Own AI Tools (And What Came Out of It)

The Pain Points That Wrote The Code

1. Answering questions that meant somethingExisting Q&A bots sound either like legal disclaimers or spiritual fortune cookies. I wanted something that could answer deeply — like a wise friend, not a parrot. So I built:

TXT: Blah Blah Blah (Semantic Q&A)From dumb answers to answers that hit like a truck.✨ Lite: July 15 • Pro: TBD🔓 Module unlocked

1. Generating images that don’t look like AI vomitMost text-to-image tools either require prompt sorcery or give you visual gibberish. I wanted clarity. Soul. Geometry. So I built:

TXT: Blur Blur Blur (Image Generation)No prompt engineering. Just visual poetry.✨ Lite: TBD • Pro: TBD🔓 Beta page live

1. Making reasoning feel like a gameAI is smart, but dumb. I wanted it to think with me. Like real logic. So I designed:

TXT: Blow Blow Blow (Reasoning Games)First AIGC RPG with real logical moves.✨ Lite: TBD • Pro: TBD🔓 Coming soon...

1. Writing that actually sounds like a humanTired of ChatGPT writing like an alien intern? Me too. So I trained something different:

TXT: Blot Blot Blot (Humanized Writing)From outlines to tone shifts. Emotion included.✨ Lite: TBD • Pro: TBD🔓 Unlocking soon

1. A firewall for language itselfPrompt injection attacks are child's play if your system thinks in strings. So I built something that thinks in structure instead:

TXT: Bloc Bloc Bloc (Prompt Injection Firewall)ΔS-based gating. λ_observe stability. Confusion as defense.✨ Lite: TBD • Pro: TBD🔓 Alpha live

What Is This Really?

This isn’t a company. Not yet. It's a philosophy embedded into tools.It’s the idea that AI should feel like you built it for yourself — not that you have to adjust yourself to fit the tool.

Call it TXT. Call it a semantic OS. Call it a noise. I don’t really care.
But when people use it, they usually stop asking why.

They just keep using it.

https://github.com/onestardao/WFGY