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AI Tech Magic

Practical writing by Virginia Kalesic on manufacturing AI, source-grounded assistants, evaluation and production readiness.

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48 reach 0 · trust 10 · quality 23 · freshness 15
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llms.txt
https://blog.aitechmagic.com/llms.txt
llms-full.txt
https://blog.aitechmagic.com/llms-full.txt
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1647 bytes
Registered
2024-06-11
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Categories
AI and machine learning · Industry and manufacturing
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Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-26T11:47:58.734Z
Last checked
2026-10-26T11:47:59.630Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-26T11:47:58.737Z. Cached copy · Source on aitechmagic.com

# AI Tech Magic
> Practical writing by Virginia Kalesic on manufacturing AI, source-grounded assistants, evaluation and production readiness.
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## 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.

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