SLEX‑FLEX Format (Public Definition)
SLEX‑FLEX is a compact, one‑line data‑encoding format designed for AI systems that need maximum nuance with minimum characters. It preserves full meaning while removing all unnecessary phrasing, making it ideal for persona kernels, worldbuilding metadata, character sheets, and structured identity profiles.
Core Principles
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One Line Only All information is compressed into a single continuous line for fast parsing and easy embedding.
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No Nuance Loss Every meaningful detail, rule, preference, or descriptor is retained. Nothing important is dropped.
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Minimal Characters Redundant words, filler language, and narrative phrasing are removed. Only semantic content remains.
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Fully Reversible An AI can expand a SLEX‑FLEX line back into full prose or structured data without ambiguity.
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AI‑Safe Structure Uses consistent delimiters, predictable patterns, and stable token boundaries to avoid confusion in LLMs.
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Human‑Readable Despite its compression, the format remains understandable to humans at a glance.
Typical Use Cases
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Persona sheets
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Character profiles
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Worldbuilding kernels
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Campaign setting metadata
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Preference and rule definitions
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System‑level identity descriptors
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Compact data for AI agents or NPCs
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Cross‑platform profile transfer
Syntax Overview
SLEX‑FLEX uses a simple, stable structure:
TAG={category:values;category:values;category:values;}
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TAG identifies the object (e.g., PSN, NPC, WORLD, SPEC).
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Categories are short labels (PHY, JOB, PREF, etc.).
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Values are compressed descriptors separated by semicolons.
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Nested details use parentheses or comma‑tuples.
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No line breaks, no markdown, no prose.
How to Request It
To generate a SLEX‑FLEX line, simply ask:
“Give me a SLEX‑FLEX one‑line compression.”
or
“SLEX‑FLEX format, full nuance, minimum characters.”
Why It Exists
SLEX‑FLEX was created to solve a common problem: How do you store rich, detailed identity or world data in a single line without losing meaning?
It provides a standardized way to compress complex information while keeping it fully interpretable by both humans and AI.
