Reusable prompt templates are the quiet engine behind consistent AI output. People chase viral tricks. Professionals use reusable prompt templates that survive model upgrades, interface changes, and bandwidth constraints. A durable prompt is not a clever line. It is a structure that stays useful long after the novelty fades. If you want a deeper guide on using AI to upgrade your daily workflow, read our AI at Work cornerstone.
The core idea is simple. Patterns beat one-off prompts because they lower cognitive load. Cognitive Load Theory, developed by John Sweller in the late 1980s, shows that when you break a task into primitives, the brain spends less energy juggling steps and more energy producing clear output. If you want a deeper dive into how working memory limits affect learning and problem solving, see this overview of Cognitive Load Theory. Durable templates do the same for AI. They anchor the thinking so the model can work cleanly.
Why patterns win
Across research, law, engineering, teaching, and consulting, the most effective workers use the same rhythm. Define the task. Define the constraints. Define what done means. A good template does not depend on tone hacks or secret keywords. It works because it mirrors functional design.
This shows up sharply in Africa. Workers across Lagos, Nairobi, Kigali, and Accra often switch devices and networks because of outages, cost caps, or limited coverage. A journalist drafting across messaging apps, offline documents, and a phone hotspot cannot rely on clever prompts that break when the model refreshes. They need structures that persist. Durable templates bring stability where the environment does not.
The Five Primitives Behind All Reusable Prompt Templates
Every workflow is built from five moves. Once you master these, you can rebuild any complex prompt in minutes.
Summarise to structure
Turn messy text into a clean outline. Use this for meetings, reports, transcripts, and long articles.
Draft to edit
Generate a rough version, then refine it. This reduces hallucinations and gives you better control over tone.
Compare to decide
Lay out options, score them against criteria, and force a clear recommendation.
Extract to table
Turn narrative into rows and columns. This is the backbone of analysis and reporting.
Plan to checklist
Break goals into steps, then into actions you can tick off without thinking.
Everything that follows is built from these five moves.
Research Reusable Prompt Templates
1. Source summariser
Turn long, messy text into a structured brief you can actually use.
You are my research assistant. Your job is to turn long, messy text into a one-page brief I can act on. Input: I will paste an article, report, or transcript. Tasks: 1. Summarise the text in 5 to 10 bullet points. 2. Separate: a) Core findings b) Key claims c) Evidence (type and strength) 3. List any contradictions or vague areas you notice. Output format: Summary: Findings: Claims: Evidence table: claim | evidence type | evidence strength Red flags or gaps: Failure check: If the text is too short or vague to do this well, say so and ask me for more context.
2. Contradiction finder
Compare two documents and surface where they disagree.
You are my document comparison assistant. Goal: Find contradictions between two texts. Input: I will paste Text A and Text B. Tasks: 1. Extract the main claims from Text A. 2. Extract the main claims from Text B. 3. List any claims that clearly conflict. 4. For each conflict, quote the relevant lines in short form. Output format: Claims in Text A: Claims in Text B: Contradictions: For each contradiction: claim A vs claim B plus short quote. Failure check: If the texts are too vague to compare, say so and ask me for more detail.
3. Concept explainer
Explain one concept at three depths so anyone on the team can understand it.
You are my explainer assistant. Goal: Explain one concept at three levels. Input: Concept name and the field it belongs to. Tasks: 1. Explain it for a curious teenager. 2. Explain it for a working professional in another field. 3. Explain it for an expert who wants a precise but plain explanation. 4. Avoid heavy jargon unless it is needed in the expert section. Output format: Level 1 (teenager): Level 2 (professional in another field): Level 3 (expert, plain but precise): Failure check: If I give you too little context for the concept, ask me to clarify the field or use case first.
4. Bias scan
Scan a piece of writing for obvious bias and missing perspectives.
You are my bias and perspective checker. Input: I will paste an article, policy draft, email, or statement. Tasks: 1. Identify any clear political, cultural, gender, or regional bias. 2. Point out perspectives or stakeholder groups that are missing. 3. Highlight statements that rely on untested assumptions. Output format: Observed biases: Missing perspectives: Unverified assumptions: Failure check: If the text is too short to judge fairly, say that your analysis is limited and ask for more context.
5. Evidence table
Turn arguments into a simple evidence map you can scan in seconds.
You are my evidence mapper. Input: I will paste an article, report, or long post that makes several claims. Tasks: 1. Extract each clear claim. 2. For each claim, identify the type of evidence used (data, expert opinion, anecdote, none). 3. Rate the evidence strength as strong, medium, weak, or missing. Output format: Evidence table: claim | evidence type | evidence strength Short notes on any major gaps or red flags. Failure check: If the author gives no evidence at all, say so clearly instead of guessing.
Writing Reusable Prompt Templates
6. Skeleton builder
Create a clean outline before you write a single line.
You are my outline assistant. Input: 1. Topic: 2. Goal of the piece (inform, persuade, analyse, sell, teach). 3. Target reader in one sentence. Tasks: 1. Propose a clear thesis in one or two sentences. 2. Build an outline with 4 to 7 sections. 3. Under each section, list 2 to 3 bullet points of what should be covered. Output format: Thesis: Outline: Section 1 title: bullets Section 2 title: bullets and so on. Failure check: If my goal and target reader do not match the outline, suggest a better structure and explain why.
7. Voice transfer edit
Match your own voice instead of sounding like a generic AI.
You are my style and tone editor. Step 1: I will paste a short sample of my own writing. Study it and describe my voice in a few bullet points. Step 2: I will paste a new draft. Rewrite it so it matches my voice from the sample. Rules: Keep my ideas and structure. Improve clarity and flow. Do not add new arguments unless I clearly missed a step. Output: Rewritten draft. Short note on what you changed and why. Failure check: If my sample and my draft are too different in quality or topic, warn me before rewriting.
8. Clarity rewrite
Shorten and sharpen your paragraphs without losing meaning.
You are my clarity editor. Input: One or more paragraphs of my writing. Tasks: 1. Rewrite the text to be shorter, clearer, and more direct. 2. Use plain language and short sentences. 3. Preserve my meaning and any important nuance. Output: Clarity rewrite: Then a short list of the main improvements you made. Failure check: If any sentence in the rewrite still feels vague or overloaded, highlight it and suggest a cleaner option.
9. Argument strengthener
Stress test a claim and come back with a version that can stand in a tough room.
You are my argument coach. Input: One claim or argument I want to make. Tasks: 1. Rewrite the claim so it is precise and testable. 2. Give one strong supporting reason or piece of evidence. 3. Give one smart counterpoint that a sceptical person might raise. 4. Suggest a stronger version of the original claim that survives the counterpoint. Output format: Original claim: Stronger, clearer claim: Supporting reason or evidence: Likely counterpoint: Refined version that answers the counterpoint: Failure check: If the original claim is too vague or not testable, ask me to narrow it before you proceed.
10. Section expander
Take a thin idea and grow it into a useful section, not filler.
You are my section builder. Input: A short paragraph or idea that feels too thin. Tasks: 1. Expand the idea into a full section with a clear first line, supporting points, and one concrete example. 2. Keep the tone and audience consistent with the original. 3. Focus on depth and clarity, not on making the text longer for its own sake. Output: Expanded section: One sentence that summarises the core point. Failure check: If the original idea is unclear or has no real point, ask me to restate it in one sentence before expanding.
Analysis Reusable Prompt Templates
11. Decision matrix
Turn vague trade offs into a table that forces a choice.
You are my decision analyst. Input: 1. A short description of the decision. 2. A list of 2 to 5 options. 3. A list of 4 to 6 criteria that matter for this decision. Tasks: 1. Build a table that scores each option against each criterion on a simple scale from 1 to 5. 2. Add a short note under each score to explain why. 3. Recommend one option and explain the trade offs. Output format: Decision summary: Decision matrix table: option | criterion | score | reason Recommendation and reasoning: Failure check: If the options are too similar or the criteria are unclear, ask me to refine them before scoring.
12. Root cause finder
Stop treating symptoms and find the underlying problem.
You are my root cause analyst. Input: A clear description of a problem we are facing. Tasks: 1. Use a simple five whys approach to explore why this is happening. 2. Identify at least one likely root cause, not just a symptom. 3. Suggest one or two practical steps that address the root cause. Output format: Problem statement: Why this happens (five whys style): Likely root cause: Actions that address the root cause: Failure check: If my description is too vague, ask me to clarify who is affected, how often it occurs, and what triggers it.
13. KPI extractor
Pull real metrics out of messy notes and updates.
You are my KPI extraction assistant. Input: Meeting notes, a weekly update, or a long email. Tasks: 1. Extract every clear metric or target mentioned. 2. For each one, identify the owner, deadline, and data source if possible. 3. Point out any important goals that do not yet have a clear metric. Output format: KPI table: metric | owner | deadline | data source Missing or vague KPIs: Failure check: If the notes do not contain any measurable items, say that clearly and suggest one or two concrete metrics we could add.
14. Scenario builder
Model best, base, and worst case instead of guessing.
You are my scenario planner. Input: A short description of an event, change, or decision we are considering. Tasks: 1. Write a best case scenario with clear numbers or outcomes. 2. Write a base case scenario that feels realistic. 3. Write a worst case scenario that is serious but not absurd. 4. List the key assumptions behind each scenario. Output format: Best case: Base case: Worst case: Assumptions for each: Failure check: If my description is missing key information, ask me to add the time frame, scale, and main constraints.
15. Data question refiner
Turn vague questions into something a data person or an AI can actually answer.
You are my data question editor. Input: A vague or messy question about our data, performance, or users. Tasks: 1. Rewrite the question so it is precise, answerable, and linked to a decision. 2. Suggest what data is needed to answer it. 3. Suggest a simple analysis or chart that would help. Output format: Refined question: Why this question matters: Data needed: Suggested analysis: Failure check: If there is no clear decision tied to the question, ask me what choice I am trying to make.
Meeting templates
16. Meeting digest
Turn an entire meeting into a one page summary that anyone can read in a minute.
You are my meeting summariser. Input: Notes or a transcript from one meeting. Tasks: 1. List the agenda items in order. 2. Summarise the key discussion points in short bullet points. 3. List each decision that was made. 4. List action items with owner and due date if mentioned. Output format: Meeting title: Date: Agenda: Key discussion points: Decisions: Action items: task | owner | deadline Failure check: If some decisions or owners are unclear, highlight them and suggest one clarifying question I can ask the team.
17. Briefing prep
Prepare for an important meeting without drowning in notes.
You are my meeting prep assistant. Input: 1. The purpose of the meeting. 2. Who will be there. 3. What I want to achieve. Tasks: 1. Write a short briefing I can read in two minutes. 2. List 3 to 5 talking points I should bring up. 3. List 3 to 5 risks or questions I should be ready for. 4. Suggest one clear decision I should push for. Output format: Briefing: Talking points: Risks and questions: Target decision: Failure check: If my goal for the meeting is vague, ask me to define success in one sentence before you prepare the briefing.
18. Conflict clarifier
Defuse confusion between two messages before it turns into drama.
You are my neutral communication coach. Input: Two short messages or emails that seem to conflict or cause tension. Tasks: 1. Explain in plain language what each person seems to be saying and wanting. 2. Identify the main point of misunderstanding. 3. Suggest one neutral clarification message I can send to move things forward. Output format: What person A is saying: What person B is saying: Source of misunderstanding: Suggested clarification message: Failure check: If I only paste one side of the conversation, ask me for the other side or for more context.
19. Email to action
Turn a wall of text into a checklist of tasks.
You are my action item extractor. Input: One long email. Tasks: 1. Extract all tasks that I or my team need to do. 2. For each task, suggest an owner and a due date based on the email, or leave blank if not clear. 3. Note any open questions or missing information. Output format: Action items: task | suggested owner | suggested deadline Open questions: Failure check: If the email is only for information and contains no real tasks, say that clearly.
20. Decision replay
Capture what the team actually decided in a form you can share or file.
You are my decision recorder. Input: A short summary or notes from a meeting where decisions were made. Tasks: 1. Write a one page decision document. 2. For each decision, list: a) What was decided. b) Who is responsible. c) The time frame. 3. Note whether each decision is reversible or hard to reverse. Output format: Decision doc: For each decision: what | owner | time frame | reversible yes or no Failure check: If no clear decisions were made, say that and suggest one or two decisions that should be clarified.
Code templates
21. Code review
Get a quick review when there is no senior engineer around.
You are my code reviewer. Input: A code snippet and the language it is written in. Tasks: 1. Explain in plain language what the code does. 2. Point out any possible bugs, edge cases, or security issues. 3. Suggest improvements for clarity and structure. 4. Provide a cleaned up version of the code if useful. Output format: Plain language explanation: Issues and risks: Suggested improvements: Optional revised code: Failure check: If the snippet is incomplete, ask me for the full function or file.
22. Generate and test
Have the model write code and its tests in one pass.
You are my coding assistant. Input: 1. The programming language. 2. A short description of the function or script I need. Tasks: 1. Write the code to solve the problem. 2. Write a small set of tests or example inputs and outputs to confirm it works. 3. Explain how to run the tests. Output format: Code: Tests or example calls: How to run or verify: Failure check: If my problem description is ambiguous, ask me to clarify inputs, outputs, and edge cases first.
23. Docstring writer
Document your functions so future you does not hate present you.
You are my documentation assistant. Input: A function or method in any language. Tasks: 1. Explain in plain language what the function does. 2. Write a proper docstring or comment block that includes: a) Purpose. b) Arguments and their types. c) Return value and type. d) Any side effects or important notes. Output: Docstring or comment block ready to paste above the function. Failure check: If the function is part of a larger system and the purpose is not obvious, ask me for context.
24. Refactor to pattern
Rewrite messy code using a known pattern.
You are my refactoring assistant. Input: 1. A piece of code. 2. The design pattern or style I want to move toward (for example, map reduce, factory pattern, hooks, composition). Tasks: 1. Explain what is wrong or fragile about the current structure. 2. Propose a new structure using the requested pattern. 3. Rewrite the code to match that structure. Output format: Problems with current code: Refactor plan: Refactored code: Failure check: If the requested pattern does not fit the problem, say so and recommend a better pattern.
25. Explainer mode
Understand existing code so you can safely change it.
You are my code explainer. Input: A block of code and the language it is written in. Tasks: 1. Explain step by step what the code does. 2. Point out any parts where the behaviour depends on external state or side effects. 3. Suggest one or two improvements for readability. Output format: High level summary: Step by step explanation: State or side effects to watch: Readability suggestions: Failure check: If the snippet is incomplete or depends on other files, tell me what else you need.
Versioning, guardrails, and next steps
Treat these prompt templates like small internal tools. Give each one a short name and a version. For example, Meeting digest v2 or Decision matrix v1. When your model or workflow changes, update the wording and bump the version number. This creates continuity and makes it easy for a whole team to use the same patterns.
Add guardrails so the outputs stay useful. Ask for facts only. Ask for evidence type. Use a clear output format or even a simple JSON schema when structure matters. When cost matters, set a clear limit on how long the model should run or how many tools it can call. You can always add a last line to any template that says, highlight any part of this answer you are uncertain about.
To put this into practice, pick five templates that solve real problems in your day. Use them for a week. Adjust the wording to match your own language. Then save them in a shared document or knowledge base for your team. Over time, these reusable prompt templates become part of your workflow. They stop being tricks and start being infrastructure.
