Vol. I · Est. 2026

Money, technology, and the systems shaping everyday life.

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Five AI Prompt Habits That Actually Improve the Output


AI at Work

Generic prompts get generic answers. Brief AI like a smart new colleague instead.

Before and after prompt card. Before: Summarize this report. After: Summarize this report as a one sentence bottom line, 3 key findings with numbers, and 2 recommended actions, max 150 words, using only facts from the report and saying so if something is unclear.

Anthropic says to treat the model like “a brilliant but new employee who lacks context.” If a colleague would be confused by your prompt, so will the AI. These habits work in ChatGPT, Claude, Gemini, Grok, and similar tools. For when to lean on AI and when to lead, see where AI helps and where you still lead.

1. Give it a role and the context

A role sets the voice. Context fills in what it cannot know. OpenAI, Anthropic, and Google all recommend both.

Before: Write a policy for remote work.
After: You are an HR advisor for a 40 person agency moving to 2 office days a week. Staff are anxious. Draft a policy covering schedule, exceptions, and equipment.

2. Show examples instead of describing a style

Two to five varied examples teach tone better than adjectives. The GPT 3 paper (2020) showed models learn well from a few examples, and Google recommends always including them.

Before: Write subject lines for our newsletter.
After: Write 5 subject lines like these winners: "Why your emergency fund is probably too small". Topic: choosing a health plan.

3. Ask for a plan first

“Let’s think step by step” lifted GSM8K math accuracy from 10.4% to 40.7% on the older text‑davinci‑002 model (Kojima et al., 2022). Newer thinking models reason on their own, so expect less. Still, asking for an outline to approve first gives you control.

4. Set the format, and put the question last

Say what you want, not what to avoid. With long documents, paste the text first and ask last. Anthropic says this improved quality by up to 30% in its own tests.

5. Make it critique its own draft with a rubric

Draft, critique, revise: in the Self‑Refine study (2023) this gave about a 20% average gain across 7 tasks, with specific feedback beating vague feedback (math gained little). GPT‑4 as a judge matched human preferences over 80% of the time, but favored longer answers and the first option shown. Fewer wasted runs matter too, because AI runs on money.

Two copy and paste templates

Plan first kickoff

Goal: [deliverable] for [audience] by [date].
Before drafting, ask me up to 5 clarifying questions.
Then propose an outline. Wait for my approval before writing the full version.

Rubric review for any draft

Score the draft below from 1 to 5 on each item, with a one line reason:
1. [clear main point up front]
2. [specific evidence or numbers]
3. [clear call to action]
Then rewrite it to fix every score below 4. Do not make it longer.
Draft: """[paste]"""

The takeaway

Give context, show an example, ask for a review.


Sources: OpenAI prompt guide · Anthropic best practices · Google Gemini prompt strategies · Brown et al. 2020 · Kojima et al. 2022 · Madaan et al. 2023 · Zheng et al. 2023


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One response to “Five AI Prompt Habits That Actually Improve the Output”

  1. […] Researchers call this the jagged frontier: AI is strong in some places and still learning in others. That’s not a knock on the tool. It’s a map for using it well. To get better answers inside that zone, try these five AI prompt habits. […]

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