Input is processed only in the active browser tab's memory and is not sent to a ByteQuant server.
Prompt Boundary & Delimiter Builder
Wraps user or RAG text in generated delimiters and produces a template that tells a model to treat enclosed content as data, with allowed and forbidden behavior. It does not stop prompt injection by itself.
Input and output are not stored. The optional usage counter keeps only tool identity and count, never content.
Output comes from disclosed rules or browser APIs and needs independent review before high-impact use.
A result in three steps
- 01
Paste the content to process.
- 02
Generate the local template and review its boundaries.
- 03
Test separately with role separation and allowlists on the real model.
When is this tool useful?
- ✓ Separating RAG content from instructions
- ✓ Isolating user text as data
- ✓ Standardizing prompt reviews
Automated output is a preliminary assessment. Do not use it alone for legal, financial, medical, or security-critical decisions.
Guides for this tool
A Reliable AI Workflow with Prompt Boundaries, Structured Output, and Red-Teaming
Separate untrusted data from instructions, define a JSON output contract, and test the model with evidence-driven cases before release.
Read guide →Frequently asked questions
Does this tool send input to a server?+
No. Processing runs in this browser tab. Data leaves the page only when you choose to copy or download the result.
Is the result definitive?+
The tool produces consistent output from disclosed rules and browser APIs, but context, data quality, and method limitations can affect it. Verify high-impact decisions.
Is input saved?+
No. Tool input is not persisted. With consent, only tool identity and usage count may be kept on this device for personal shortcuts.