# AI Tech Magic
> Practical writing by Virginia Kalesic on manufacturing AI, source-grounded assistants, evaluation and production readiness.
Public Ghost content for AI and LLM tooling. Use `/llms-full.txt` for consolidated page and post context.
Append `.md` to any post or page URL to get the content in Markdown (for example, `/example-post.md`).

## Pages
- [About AI Tech Magic](https://blog.aitechmagic.com/about.md) - AI Tech Magic is about making AI useful in the places where a confident wrong answer has consequences. I'm Virginia Kalesic. I build source-grounded assistants for manufacturers, turning approved manuals, procedures and accumulated operational knowledge into answers people can trace back to the sou…

## Posts
- [What AI-supported schools can teach us about agent specs](https://blog.aitechmagic.com/alpha-schools-agent-spec.md) - An illustrative design exercise: define the AI's task, the evidence of progress and the decisions that remain with a person.
- [Specification: the work before the prompt](https://blog.aitechmagic.com/specification-engineering.md) - Before choosing a model or polishing a prompt, define the task, context, boundaries and evidence of a good result.
- [Why AI pilots stall before production](https://blog.aitechmagic.com/why-ai-agent-pilots-fail.md) - A convincing demo is a starting point. Production readiness needs defined boundaries, representative tests, source evidence and a named owner.

## Optional
- [RSS Feed](https://blog.aitechmagic.com/rss/)
- [Sitemap](https://blog.aitechmagic.com/sitemap.xml)
- [Full content of pages and posts](https://blog.aitechmagic.com/llms-full.txt)