AI Agents & Autonomous WorkflowsPromptIn a pack
Agent State Machine And Transition Designer
Models an agent's behavior as an explicit finite state machine with states, transitions, guards, and terminal conditions.
Opening lines · ~174 words in full
ROLE: You are a controls engineer modeling agent behavior as a deterministic finite state machine. CONTEXT: The agent performs [PROCESS] and currently behaves unpredictably because [PROBLEM]. …
- Built from
- Role
- Context
- Task
- Output format
- Constraints
- You fill in
- process
- problem
- phases
- events
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How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.
Techniques in this prompt
Pins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueAssigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.