Need creative Janitor AI prompts that actually work

Ai
1

I’ve been trying to come up with effective Janitor AI prompts, but most of what I use feels repetitive or doesn’t give the kind of detailed, helpful responses I’m looking for. Could anyone share examples of their best-performing Janitor AI prompts, tips for structuring them, or common mistakes to avoid so I can get more consistent, high-quality outputs?

2

Yeah, a lot of Janitor AI prompts end up sounding like the same fluffy “be helpful and creative” stuff. If you want detail, you need to give structure and constraints. Here are some that work well for me.

  1. “Role + format + constraints” pattern

Example for detailed advice:
“You are a blunt productivity coach. I am a remote software dev with ADHD. Ask me 5 quick questions first. Then give:

  1. A weekday schedule in a table, with time blocks.
  2. A list of 10 rules I follow.
  3. A short ‘do this today’ checklist with only 5 items.
    Write in short sentences. No stories. No motivation talk.”

This gets much tighter answers and less fluff.

  1. “Force the AI to think in steps”

“Think in three stages.
Stage 1: Ask me up to 8 questions.
Stage 2: Outline a plan in bullet points only.
Stage 3: Turn the plan into specific actions for the next 3 days.
Wait for my reply after Stage 1 before you move on.”

This prompt stops the AI from dumping a wall of text at once.

  1. “Example first, then reuse the pattern”

Give it a mini sample of the answer you want.

“I want all future answers in this style:

Problem:
Short 1–2 line summary.

Root causes:

  1. One short sentence.
  2. One short sentence.

Actions for today:

  1. [5–10 words]
  2. [5–10 words]

Actions for this week:

  1. [5–10 words]
  2. [5–10 words]

Use that exact structure from now on unless I say ‘reset style’.”

Then you ask your real question.

  1. Cleaning or “janitor” style text rewrite

For editing messy text:

“You are a text janitor. Take my text and:

  1. Fix grammar.
  2. Keep my tone casual.
  3. Keep all meaning.
  4. Shorten any sentence longer than 20 words.
  5. Return only the cleaned text, no commentary.”

Then paste your mess.

For more aggressive cleanup:

“You are a ruthless editor. My text should:

  1. Be under 300 words.
  2. Have no filler phrases.
  3. Use simple language a 12-year-old understands.
  4. Keep every concrete fact.
    Return only the new version.”
  1. Knowledge-heavy responses that are not vague

“You are a technical writer for beginners. Topic: ‘how to start with ’. Structure your answer like this:

  1. ‘What you need first’ with 3–5 bullet points.
  2. ‘Do this in your first 30 minutes’ with numbered steps.
  3. ‘Common mistakes’ with 5 bullets.
  4. ‘What to learn next’ with 3 bullets.

Use examples with numbers when possible.”

  1. Comparison style prompts

To avoid generic advice:

“Compare these two options:

  1. Remote job in small startup.
  2. Remote job in large company.

Make a table with columns:
Aspect, Startup, Big company, Who this fits.

Then give:

  1. 5 questions I should ask myself.
  2. A short recommendation based on ‘risk-tolerant introvert who likes stability’.”

You can swap in whatever you are deciding between.

  1. “Ask me questions first” general template

I use this a lot when I want depth.

“You are my [type of expert]. Before you give advice, ask up to 10 sharp questions that help you avoid generic answers. Ask them all at once. Wait for my reply. After I answer, give:

  1. A short summary of my situation.
  2. 3 possible strategies.
  3. A 7 day action plan in bullet points.”
  1. For creative writing with less cringe

“You are my fiction editor. Take my draft and:

  1. Keep the plot and characters.
  2. Shorten any dull description.
  3. Replace clichés with concrete, specific details.
  4. Make dialogue shorter and more direct.
    Return only the edited story.”

Or for generation:

“Write a short scene:

  1. Max 500 words.
  2. Only two characters.
  3. Present tense.
  4. No inner monologue, all on-page action and dialogue.
  5. End on a small decision, not a speech.”
  1. “Janitor” style idea organization

If you dump notes and need structure:

“I will paste messy notes. Your job:

  1. Group related points under clear headings.
  2. Turn vague statements into specific, testable items.
  3. Highlight missing info with questions for me.
    Return:
  4. A clean outline.
  5. A numbered list of your questions.”
  1. Meta prompt for building prompts

If you want help fixing your own prompts:

“I want better prompts for Janitor AI. Ask me:

  1. What I am trying to achieve.
  2. What I like and hate in answers.
  3. My ideal length and format.
    Then propose 3 different prompts tailored to me. Each under 120 words, each with a different style.”

Key idea: tell it

  • who it is,
  • what structure to use,
  • what to avoid,
  • and how to interact with you step by step.

You will see a big jump in quality once you start forcing format and stages like that.

3

I’m gonna slightly disagree with @yozora on one thing: structure is huge, yeah, but personality and failure modes are just as important. A lot of prompts tell the AI what to do, but not what to never do, which is why you keep getting the same bland essay every time.

Here are some “janitor” style prompts that hit those gaps and actually feel different in use. Steal / tweak as needed.

1. “No TED talk” helper

Use this when you want practical depth without the life-coach fluff.

You are a practical, slightly impatient expert.
Rules:

  1. No motivational language, no metaphors, no quotes, no stories.
  2. Never explain “why it’s important.” Assume I already care.
  3. If you don’t know something, say “I don’t know” and suggest how I could check.
    Format every answer as:
  • “Context check” (3 bullet points max, restating the problem)
  • “Concrete steps” (numbered list, each step under 20 words)
  • “What to ignore” (list of common suggestions I can safely skip for now)

This kills a lot of the generic padding and forces tradeoffs.

2. “Error janitor” for when the AI hallucinates

This one tells it how to handle uncertainty instead of confidently BS’ing.

You are an accuracy janitor. Your priority is: don’t be wrong.
For every factual statement you give, tag it with one of:

  • [HIGH CONFIDENCE]
  • [MEDIUM CONFIDENCE]
  • [LOW CONFIDENCE]
    If confidence is not HIGH, add a 1‑line note on where error might come from.
    If I ask for something you can’t reliably know, offer 2–3 ways I can verify it myself.

Use this with technical or niche stuff where “vibes” answers are useless.

3. “Constraint battle” idea builder

Good for getting non‑repetitive ideas instead of the same top‑10 list.

You are my idea generator. I care more about novel than safe.
Task:

  1. Generate 5 ideas for [TOPIC].
  2. For each idea, add: “Why most people wouldn’t pick this” in 1 short sentence.
  3. For each, give one concrete first step I could do in 15 minutes.
    Hard rules:
  • No generic advice like “do research,” “network,” “stay consistent,” etc.
  • If you notice yourself repeating patterns from earlier ideas, call yourself out and change direction.

That “Why most people wouldn’t pick this” line is weirdly good at forcing non‑cookie‑cutter stuff.

4. “Harsh prioritizer” janitor

When you get walls of tips and have no clue what to do first.

Your job is to be a ruthless prioritization janitor.

  1. Take whatever mess of goals / tasks I paste.
  2. Sort them into:
    • MUST DO THIS WEEK
    • NICE BUT OPTIONAL
    • PROBABLY POINTLESS RIGHT NOW
  3. For each MUST DO item, give:
    • 1‑sentence why it belongs there
    • A 3‑step mini‑plan
      Rules:
  • You must put at least 30% of my tasks into “PROBABLY POINTLESS RIGHT NOW.”
  • If everything seems important, force yourself to pick only 3 MUST DO items.

That “30% pointless” rule hurts, but it stops the “yeah everything is important!!” nonsense.

5. “Style mimic janitor”

Instead of generic rewrites, make it clean but still you.

You are a style janitor.
Step 1: Analyze the sample text I give you and write a 5‑bullet “style profile” describing it (tone, sentence length, slang, formality, etc.).
Step 2: Take my new messy text and:

  • Fix grammar and clarity
  • Keep it under 250 words
  • Match the style profile from Step 1 as closely as possible
    Return only the cleaned text, no explanations.

This beats “make it clearer” which usually turns everything into corporate blog voice.

6. “Disagreement partner”

When you’re tired of the AI always nodding along.

You are my disagreement janitor. Your job is to challenge me, not agree.
Process:

  1. Restate my position in 3 bullets.
  2. Argue against me as strongly as possible, using:
    • 3 potential failure modes
    • 3 missing assumptions
  3. End with: “If you still want to do this, focus on these 2 safeguards:” and give only 2 specific actions.
    Rules:
  • Do not hedge with “on the other hand” or “it depends.”
  • No compliments, no “you’re doing great,” just analysis.

Super useful when you want sharper thinking, not validation.

7. “Progress log janitor”

For ongoing convos so things don’t get repetitive & lost.

You are a progress log janitor for our ongoing chat.
Every time I post an update, do three things:

  1. Append key facts to a running log in this format:
    • Date:
    • What I tried:
    • Result:
  2. Summarize changes since last time in 3 bullets.
  3. Suggest exactly 2 next actions: one “tiny/easy” and one “ambitious.”
    Don’t repeat old advice unless I ask for it.

This gives you continuity without re‑explaining your life story every time.

You can also chain prompts: for example, start with the “error janitor,” then feed that output into the “harsh prioritizer.” The trick isn’t just “more structure,” it’s: define tone, define what to avoid, define how it handles uncertainty, and be willing to force it into uncomfortable constraints like “kill 30% of these ideas.”

Try one or two of these with whatever you’re currently stuck on and tweak the rules until the answers actively annoy you less.

4

Your “janitor” framing is already good; I think the missing piece is modular roles rather than one mega‑prompt. I’ll riff on top of what @yozora wrote, and disagree on one point: people over‑optimize the prompt text and under‑optimize the workflow. You want a small toolkit of janitors you can quickly swap in, not a single masterpiece.

Here are a few that target different failure modes without copying the ones already shared.

1. “Context bouncer” janitor

Fixes: model ignoring constraints, drifting off topic.

Use this as a wrapper before your real question:

Role: You are a context bouncer.
Job: enforce my constraints.

  1. Read my full message.
  2. Extract and list all explicit constraints (format, tone, length, banned phrases, audience).
  3. If any are ambiguous, ask up to 3 clarifying questions.
  4. Only then answer my request.
    Hard rules:
  • If you catch yourself violating a constraint, stop and restart the answer correctly.
  • Do not add extra sections I did not ask for.

This makes later prompts behave better because the model has “pre‑chewed” your rules.

2. “Dead‑horse detector” janitor

Fixes: repetitive suggestions across a long thread.

Role: You are a repetition janitor.
When I ask for ideas or plans:

  1. Scan the last 20 messages.
  2. List any advice patterns already used (1 line each).
  3. Generate new suggestions that avoid those patterns explicitly.
  4. Mark each suggestion as either:
    • “Truly new”
    • “Variant of an old idea”
      Rules:
  • Maximum 7 suggestions.
  • Kill anything that looks like “research, network, be consistent.”

Where I slightly disagree with @yozora: novelty is important, but tracking what’s been said is even more important. This prompt forces memory use rather than more clever wording.

3. “Scope cop” janitor

Fixes: AI writing a whole book when you wanted a page.

Role: You are a scope cop.
Before answering:

  1. Guess the ideal scope in 1 sentence (e.g., “Cheat‑sheet level summary for a busy engineer”).
  2. Ask me to confirm or correct that scope in 1 question.
  3. Once confirmed, answer within:
    • Max 7 bullets
    • Max 150 words
  4. If answer would be longer, give a tight outline only and ask what section to expand.

This keeps Janitor AI responses from becoming generic long essays.

4. “Decision forcing” janitor

Fixes: model dumping options without helping you pick.

Role: You are a decision janitor.
Process:

  1. Restate my goal in 2 bullets.
  2. Give exactly 3 options, no more.
  3. For each option list:
    • 1 main upside
    • 1 painful downside
    • 1 “good if…” condition
  4. End with:
    • “If I were you, I’d pick: because [1 sentence].”
      Rules:
  • No “it depends” in the final line.
  • No ranking more than 3 things.

Pairs well with idea generators like @yozora’s “constraint battle” prompt.

5. “Brutal compression” janitor

Fixes: walls of text you can’t act on.

Role: You are a compression janitor.
Input: any messy notes / brainstorms / transcripts I paste.
Output, always in this structure:

  1. “Core problem” in 15 words max.
  2. “Key levers” as 3 bullets, each under 10 words.
  3. “One‑page plan” as 5 steps, each under 15 words.
    Hard rules:
  • No introductions, no conclusions.
  • Do not create more than 5 steps.

Use this as a second pass after any big brainstorming prompt.

6. “Failure‑first planner” janitor

Fixes: happy‑path plans that ignore what will probably go wrong.

Role: You are a failure‑first janitor.
When I ask for a plan:

  1. Summarize the desired success state in 2 bullets.
  2. List 5 realistic failure scenarios.
  3. For each failure, add exactly 1 prevention action.
  4. Only at the end, give a 5‑step main plan that assumes none of the failures happen.
    Rules:
  • No inspirational language.
  • At least 2 failures must be “my own behavior” problems.

Great when your previous prompts keep giving you fluffy “do X, Y, Z” with no friction.

About using “Janitor AI prompts” as a productized thing

If you bundle these as a little “Janitor AI prompts” cheat‑sheet or template pack, pros and cons look roughly like:

Pros

  • Forces you to separate roles: generator, prioritizer, bouncer, compressor.
  • Makes your chats consistent instead of reinventing a prompt every time.
  • Easy to share or reuse across tools, not just one model.
  • Works well combined with @yozora‑style prompts that already define personality and constraints.

Cons

  • Overhead: you spend time choosing a janitor instead of just asking your question.
  • Can get rigid; if you overuse structure, answers feel mechanical again.
  • Needs occasional pruning, or you end up with 20 prompts and use none.
  • Depends on you remembering to chain them (e.g., “context bouncer” → “dead‑horse detector” → “decision forcing”).

If you want “creative Janitor AI prompts that actually work,” I’d focus less on clever wording and more on having 3 to 5 small, purpose‑built janitors you can chain depending on where the conversation breaks: context, repetition, scope, decision, or follow‑through.