Agents need control flow, not more prompts

복잡한 작업을 수행하는 신뢰할 수 있는 AI 에이전트는 점점 더 복잡해지는 프롬프트 체인 대신 소프트웨어에 명확히 인코딩된 결정적 제어 흐름이 필요하다는 주장입니다. 프롬프트는 비결정적이고 검증이 어려워 신뢰성이 떨어지며, 코드 기반의 재귀적 구성 가능성이 신뢰성과 확장성을 보장합니다. 따라서 LLM을 시스템의 핵심이 아닌 구성 요소로 다루고, 명시적 상태 전이와 검증 지점을 포함하는 결정적 오케스트레이션이 필수적입니다. 또한, 오류 감지와 검증 없이는 인간 감독, 사후 감사, 또는 무작위 수용밖에 선택지가 없다고 지적합니다.

https://bsuh.bearblog.dev/agents-need-control-flow/

#aiagents #controlflow #llmreliability #deterministicsystems #errordetection

Recently, a popular "AI Workflow Cheatsheet" started circulating.

So I decided to compare it with something I’ve been building over the past 6 months.
Not conceptually.
Not theoretically.
But in real systems.
What emerged is a clear distinction.
Most current AI workflows are:
probabilistic
suggestive
loosely constrained
JFP takes a fundamentally different approach:
deterministic execution
enforced control layers
truth-gated actions
full auditability
In simple terms:
-AI suggests what to do
-JFP decides if it is allowed to be done
This shifts the system into a completely different category.
Not an assistant.
But an execution layer.
One important clarification:
This is not a new idea.
VIPER - the tactical command layer shown below — was already running on top of JFP v7.0.0.
That means JFP was never just a prompt format.
From the beginning, it functioned as:
a structured execution model
a deterministic control layer
a foundation for governed systems
Since then, the architecture has evolved further into VIKI OFFICE (JFP v8.0.0).
And the direction remains the same:
deeper control
stronger guarantees
governed execution
What you're seeing as “AI workflows” today…

…may just be the early stage of something much bigger.

#AI hashtag#CyberSecurity #Agents #ExecutionLayer #DeterministicSystems #ZeroTrust hashtag