AI Context Safety Pack
Prepare text for AI systems with local deterministic detection, reviewable redaction, bounded chunks, and a manifest.
What This Tool Does
AI Context Safety Pack prepares long text for deliberate sharing with an AI system. It estimates a model-agnostic token range, detects common credential and personal-data patterns, applies reviewable redactions, and creates bounded chunks with a manifest.
How to Use
- Paste text or load a supported text file.
- Choose the chunk ceiling and decide whether detected patterns should be redacted in exports.
- Review every finding category, then download the context pack.
How the Analysis Works
Rules match explicit credential formats and common personal-data patterns; token size is reported as a range derived from character count because tokenizers differ by model and language. Paragraph boundaries are preferred when splitting.
Limits and Responsible Use
Pattern matching produces false positives and false negatives and cannot identify all confidential business meaning. Do not treat “no finding” as approval to disclose material; follow the receiving system's retention and training policy.
Examples
Prepare a support log
A long Markdown log containing an email address and access token
Result: Redacted, bounded Markdown chunks plus a manifest of finding categories.
Frequently Asked Questions
Does the tool call an AI model?
No. Analysis uses deterministic browser-local rules.
Is the token estimate exact?
No. Exact counts require a specific model tokenizer; the range is intended for planning.
References
Important Note
Results are estimates for planning and education. They do not replace financial, tax, legal, or professional advice. Review assumptions before making decisions.