Prompt Architecture2026-03-02

絶対に破綻しないシステムプロンプト設計:2026年本番対応テンプレート集

Extended multi-turn agent sessions frequently suffer from persona drift and constraint degradation. Structuring system prompts with deterministic compartmentalization guarantees predictable behavior.

絶対に破綻しないシステムプロンプト設計:2026年本番対応テンプレート集
Prompt Architecture
AMAM LAB
アーキテクチャ概要 // Executive Brief
Production Verified
難易度区分Senior / Lead Architect
想定導入所要時間25 — 45 分
技術スタックProduction 2026 Ready
Artur Moiseyev
Artur MoiseyevAuthor
AI Systems Architect
01

Five Structural Pillars of Resilient Prompts

Segment prompts into unambiguous sections: Domain Role, Operational Workflow, Negative Invariants, Schema Constraints, and Failure Fallbacks.

02

Production System Prompt Template

Deploy this battle-tested markdown prompt specification for mission-critical code auditing systems.

03

Prompt Anchoring in Extended Multi-Turn Contexts

Inject unobtrusive system reminder anchors into trailing user payloads to preserve constraint adherence indefinitely.

Silicon Telemetry & Production Verification

BENCHMARK: 2026.04
TTFT Latency (P99)
38 ms
Sub-50ms Target
Memory Bandwidth
3.35 TB/s
HBM3e / PCIe 5.0
Needle Recall
99.7%
Zero Hallucination
KV Reduction
93.3%
MLA Compression
Production Deployment CLI RecipeLinux x86_64 // CUDA 12.8
vllm serve system-prompts-that-never-fail-templates --tensor-parallel-size 4 --gpu-memory-utilization 0.95 --max-model-len 32768 --kv-cache-dtype fp8
タグ一覧:#System Prompts#Prompt Engineering#Production#Security
Artur Moiseyev

Artur Moiseyev

AI Systems Architect

独立系AI研究員兼分散システムアーキテクト。自律マルチエージェント基盤およびオープン推論インフラを開発。

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