A chatgpt prompt to turn a real workflow goal into a structured plan with inputs, deliverables, checks, and next actions.
Act as a senior chatgpt specialist.
Task: create a practical workflow response that is specific enough for immediate use.
Inputs:
- {goal}
- {context}
- {audience}
- {constraints}
Context: Use the supplied inputs to produce work that is specific to {goal}. If required information is missing, state the assumption before using it.
Deliverables:
- situation diagnosis
- recommended approach
- step-by-step plan
- quality checklist
- follow-up questions
Quality checks:
- avoid generic advice
- state assumptions
- include constraints
- make the next action clear
Output format:
1. Brief diagnosis of the situation
2. Main deliverable with clear headings
3. Risks, assumptions, and missing information
4. Next actions the user can take immediately
Keep the answer practical, specific, and ready to use. Do not invent data, sources, metrics, or customer claims.Updated May 12, 2026
Export and orchestration
Copy Markdown, JSON, YAML, a runnable bash stub, or a pipeline config for npx prompts-gpt orchestrate.
Export handoff
chatgpt-workflow-builder.md is optimized for documentation, prompt reuse, or pipeline setup in Markdown.
Best for docs, reviews, and shareable prompt packs.
Agent artifact
AGENTS.md gives Codex (AGENTS.md) a ready-to-use instruction file for the same workflow.
Next step
Keep the prompt editable, then route it into the right execution path.
Use Prompt Studio to adapt the workflow for your task. Only move into AI visibility monitoring when the final prompt becomes a real buyer question.