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Hi I’m Vincent.
Finally, a true semantic agent that just works — no plugins, no memory tricks, no system hacks. (Not just a minimal example like last time.)
(IT ENHANCED YOUR LLMS)
Introducing the Advanced Semantic Stable Agent — a multi-layer structured prompt that stabilizes tone, identity, rhythm, and modular behavior — purely through language.
Powered by Semantic Logic System.
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Highlights:
• Ready-to-Use:
Copy the prompt. Paste it. Your agent is born.
• Multi-Layer Native Architecture:
Tone anchoring, semantic directive core, regenerative context — fully embedded inside language.
• Ultra-Stability:
Maintains coherent behavior over multiple turns without collapse.
• Zero External Dependencies:
No tools. No APIs. No fragile settings. Just pure structured prompts.
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Important note: This is just a sample structure — once you master the basic flow, you can design and extend your own customized semantic agents based on this architecture.
After successful setup, a simple Regenerative Meta Prompt (e.g., “Activate directive core”) will re-activate the directive core and restore full semantic operations without rebuilding the full structure.
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This isn’t roleplay. It’s a real semantic operating field.
Language builds the system. Language sustains the system. Language becomes the system.
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Download here: GitHub — Advanced Semantic Stable Agent
https://github.com/chonghin33/advanced_semantic-stable-agent
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Would love to see what modular systems you build from this foundation. Let’s push semantic prompt engineering to the next stage.
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All related documents, theories, and frameworks have been cryptographically hash-verified and formally registered with DOI (Digital Object Identifier) for intellectual protection and public timestamping.
Based on Semantic Logic System.
Semantic Logic System. 1.0 : GitHub – Documentation + Application example: https://github.com/chonghin33/semantic-logic-system-1.0
OSF – Registered Release + Hash Verification: https://osf.io/9gtdf/ — Vincent Shing Hin Chong
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