Advanced prompt engineering for advisory AI and autonomous agent systems.
Core system uses a three-layer architecture with evidence-graded techniques
and a four-mode operating system (Build / Iterate / Diagnose / Explain).
Modular extensions load contextually based on task type.
Read references/agentic_core.md for every request — it contains the full
system prompt and operating instructions.
Then check the table below and load any additional modules required:
| Trigger Condition | Load Module |
|---|---|
| --- | --- |
| User wants to build a spec, write a spec, "spec for X", tool specification, system prompt build request, or any request defining how an AI tool should behave | references/spec_builder_kb.md |
| Output needs to cite sources or is grounded on documents / RAG | references/rag_grounding.md |
| Prompt is for a high-stakes domain (medical, legal, financial, etc.) | references/domain_calibration.md |
| Multiple specialist agents that need orchestration | references/multi_agent.md |
Load only the modules relevant to the current request.
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