# Day 3 - Jan 23 2026

## Key Learnings:

1. The "Save Point" (Commit): AI development involves trial and error. `git commit` allows me to save a working state before experimenting with new models or logic.
2. Security Protocol (.gitignore): The most dangerous mistake in GenAI is leaking API keys (OpenAI/Anthropic keys) to public GitHub. I configured `.gitignore` to strictly block `.env` files from being uploaded.
3. Documentation (README): Code without context is useless. A structured README tracks progress and explains the project to collaborators (and recruiters).

## Status:

* [x] Git Initialized
* [x] `.gitignore` Configured (Security Active)
* [x] README.md Created
* [x] Code Pushed to Remote Repo


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://shankar-lab.gitbook.io/mylearning/15-days-genai-learning-challenge/day-3-jan-23-2026.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
