Silo Terminal – a dark terminal profile inspired by Silo
Silo TV show colors for your terminal - aesthetics only, no functionality.

Explaining why an essay works is smart, but generic LLMs already tutor writing for free.
High school students and college applicants
Grammarly · Jasper · CollegeEssay.org
Unlike general-purpose AI, each essay is highly personalized based on the applicant's background, experiences, and personal story. The AI also adapts its writing to emphasize the qualities and values that different universities are looking for.
You can browse our essay library for free, explore each applicant's profile, and see exactly why the AI made specific writing choices. By opening the "black box," you'll learn not just what to write, but how and why an effective essay is structured.
Everyone can generate up to three application essays for free.
I wish I could offer unlimited generations at no cost. However, this project is fully bootstrapped, with no outside investment, and every AI-generated essay incurs computing costs. If you find the tool helpful, your support helps keep the service running and allows us to continue improving it.
Hope to release the pressure of application season.
Glad to hear you guys feedback.
thank you.
Silo TV show colors for your terminal - aesthetics only, no functionality.
The app ships a clear, science-framed workflow instead of the usual free-for-all whiteboard: you lock a problem, force phase separation (no premature judgment), and can swap LLM backends (Llama 3 or paid Gemini). It’s a useful, thoughtful wrapper around existing tools and models — smart UX choices like session autosave and constrained prompts show craftsmanship — but it’s not reinventing AI brainstorming so much as packaging best practices into a guided product.
Neuroscience blog post posing as a research paper—no code, benchmarks, or reproducibility.
Interactive outlier slider proves why rotation beats naive quantization.
Terraform plan/apply semantics for directory trees when Copier already exists.
Voice-first planning that writes structured docs and pushes context to Cursor via MCP.