Entrepreneur's Guide Turns AI Chat Into a Reusable Assistant

A contributor essay on Entrepreneur argues that knowledge workers waste hours every week rewriting the same AI instructions, and that the fix — a saved, reusable prompt — takes one structured conversation to build. The author, whose company teaches AI for business, lays out a step-by-step method with two ready-made prompt templates. The piece is how-to guidance, not research; it offers no benchmark data, no time-savings figures and no case studies beyond the author's own conference anecdotes.

What does the method actually propose?

The core analogy is onboarding. When a company hires a new account manager, the author writes, managers supply business background, examples of good work and clear expectations. They do not restart that briefing every morning. Yet, the author argues, that is exactly how most people use AI — typing fresh context into a chat window each day.

A saved prompt captures the handoff once: the task, the context and the definition of a useful answer. The author's first instruction to readers is blunt about results, though: "Did you get perfect results? I doubt it." The method assumes iteration, not instant payoff.

How does the interview technique work?

The building block is a prompt that turns the AI into an interviewer. The user pastes: "I want a reusable AI assistant for [your task]. Interview me one question at a time about my role, how I do this work, what good output looks like, what I would reject and which reference files would help. Keep asking until I say we're done. Then write clear, copy-ready prompt instructions."

The phrase "one question at a time" matters, the author says, because it keeps the conversation manageable and lets each answer shape the next question. Voice dictation and half-formed answers are fine. When questions turn repetitive, the user says "we're done" and the AI drafts the instructions.

The recommended starting point is a recurring weekly task — ideally one someone quietly dreads. That is practical advice, but it is also unfalsifiable: the author cites no evidence on which workflows benefit most.

Where do the prompts live?

The instructions go into the tool's persistent features. In ChatGPT, users select @skill-creator and ask it to package the instructions as a reusable Skill, with a name and trigger conditions. In Claude, users open Projects, create a new one, and paste the instructions under the plus sign next to Instructions.

The author adds a caveat vendors rarely stress: save or email yourself a copy of the raw instructions, because "product names and menus change." The description of how the work should be done outlives any interface.

What are the two templates?

The essay supplies two full prompt templates readers can adapt:

• A business coach prompt. The AI acts as a coach, interviews the user one question at a time, summarizes what it heard, asks for corrections, challenges weak assumptions respectfully, distinguishes facts from assumptions and proposes next steps with deadlines and progress measures. It closes with a guardrail: "Do not invent knowledge of my business or promise results."
• A contract reviewer prompt. The AI summarizes scope, fees, payment, term, renewal and termination; ranks issues High, Medium or Low by business impact; checks liability, indemnity, IP ownership, confidentiality, data use and assignment; cites sections and quotes; and proposes fallback language. It must never invent terms or legal rules, and it must always state that the final contract should be reviewed by the company's attorney.

The author frames the contract tool honestly: it helps identify issues to raise with a lawyer. It does not replace legal advice — a disclaimer worth more than the surrounding enthusiasm.

What are the limits?

The author's own testing protocol concedes the weak point. Users should copy saved instructions into a new chat, explain what went wrong, ask for revisions and retest. After a week, the repeated manual corrections reveal what the prompt is missing. Two weeks on one workflow is the recommended commitment before adding a second.

Three caveats get their own paragraph, and they deserve it: use only tools and files the company permits; check data-handling and sharing settings before uploading confidential material; and review every output before relying on it or sending it onward.

Why does the author publish this for free?

At conferences, the author reports, someone almost always asks why the company gives these techniques away. The answer: "First, these techniques can be game changers in how you work. Second, everyone should know how to use AI this way — and we're only at the beginning." That is a promotional claim from a company that sells AI training, and readers should weigh it accordingly. The method itself is sound hygiene for recurring work; the productivity gains remain asserted, not measured.