Each focused lab has an extensionless URL, an AJAX workflow, bounded examples, explicit human and machine views, a defensive transform, and a clear limitations section.
Inspect zero-width characters and format controls, encode a small benign payload, decode it, and compare security-oriented normalization views.
Compare visually similar characters from different scripts, construct a small educational skeleton, and flag mixed-script identifiers.
Expose the logical sequence, rendered sequence, escaped sequence, and code-point sequence for text containing bidi controls.
Reveal ordinary spaces, tabs, line endings, non-breaking spaces, thin spaces, trailing whitespace, and repeated-space patterns.
Encode and decode Base64, Base64URL, hexadecimal, percent encoding, HTML entities, JSON escapes, Unicode escapes, binary, and UTF-8 byte views.
Extract first or last letters from lines, sentences, and paragraphs, or inspect an nth-word positional rule.
Map word lengths to binary classes, inspect periodicity, and see how small lexical changes corrupt decoding.
Inspect serial commas, contractions, quote and dash variants, and selected US/UK spelling alternatives.
Use a fixed curated dictionary to encode or decode a small benign bit string and observe how paraphrase-like substitution changes the result.
Compare fixed active/passive, clause-order, and optional-conjunction realizations with simple tree-like structural views.
Map fixed harmless categories such as animal, fruit, vehicle, and weather to two-bit symbols and inspect category sequences.
Compare characters, UTF-8 bytes, whitespace-aware pieces, and a documented local toy subword segmentation.
Apply a synthetic preference to a fixed candidate vocabulary and visualize how individual normal-looking choices create an aggregate signal.
Partition a synthetic vocabulary with a local seed, generate a harmless token sequence, and calculate a simple green-token z-score.
Analyze repetition, word-length periodicity, unusual whitespace, character classes, runs, and simple n-gram regularity.
Compare raw source, structural text, likely rendered text, comments, hidden nodes, attributes, and a sanitized representation without executing the HTML.
Extract alt text, aria-label, aria-labelledby, titles, hidden labels, and visible text into separate provenance-labelled views.
Parse JSON or XML metadata, inventory field provenance, and compare strict, balanced, and research allowlist profiles.
Generate downloadable JSON, XML, HTML, or Markdown fixtures containing only a fixed benign marker and descriptive metadata.
Upload a PDF for bounded, non-executing inspection of the header, object count, metadata strings, XMP, annotations, embedded-file indicators, and active-content indicators.
Treat Office files as ZIP containers, list bounded package entries, and extract common core, app, and custom properties without macros or active execution.
Inspect PNG textual chunks and common JPEG EXIF fields, compare file properties, and identify metadata-only strings.
Compare raw, human-visible, structural, escaped, metadata-like, and canonical views of the same text or HTML artifact.
Apply trim, whitespace collapse, normalization, HTML-to-text, punctuation, case, and paraphrase simulations to fixed benign carriers.
Create fixed-marker carriers, inspect extraction separately from uptake, and copy an analysis-first prompt for an authorized AI test environment.
Rank a small local corpus, show retrieved documents and metadata, assemble model context, and locate a fixed benign marker.
The recurring workflow is to preserve one artifact and compare its human, rendered, structural, metadata, Unicode, token, and decoder views before deciding what an AI should receive.
