As a non-technical business owner, how do I translate our standard operating procedures into prompt instructions that an AI agent can reliably execute?

Question

Tyler Smith · Accepted Answer

You do not need to learn Python or prompt engineering jargon to put AI to work inside your operating company. You simply need to treat the language model like a smart, literal, temporary employee who has read every book in the world but knows zero context about your specific business.

Start by taking your documented Core Process and breaking it into four explicit components:

- Context and role: Tell the model exactly who it is acting as, who the customer is, and what business objective it is fulfilling.
- Inputs: Paste the exact source material it must reference, whether that is an email thread, an equipment spec sheet, or meeting notes. Explicitly command it to use only this provided text and to flag missing variables rather than guessing.
- Constraints: Define the guardrails clearly. Specify the maximum word count, banned words, required tone, and absolute boundaries on pricing or commitments.
- Output format: Dictate the exact output structure. If your project management tool requires a bulleted list with task owner, due date, and scope summary, show the model an exact sample template.

Never treat AI implementation as a tech project. Frame it as an operations-improvement project that uses software as a footnote. Your job as an owner is not to build code. Your job is to define clear expectations, audit the work against company standards, and ensure the seat on the Accountability Chart responsible for that process inspects the output every day.