DEV Community: PromptAlo

When does a prompt become one you keep?

PromptAlo — Tue, 27 Oct 2026 13:37:20 +0000

Plenty of people who use AI for code have a few prompts they return to: a pull request review brief, a changelog format, a way of asking for test cases that fits their own suite.

Some get saved the day they first work. Others stay in chat history and get rebuilt with slightly different wording and a slightly different result.

We think the first save is the one that matters, because that is the point where the wording is known to work. After that, any change is a choice rather than an accident.

So we would like to hear how you decide:

What makes a prompt cross the line from "just used it" to "worth keeping"? Is it how often you need it again, how long the prompt took to get right, or something else?

This post was written with AI assistance and edited by the PromptAlo team.

When AI keeps fixing the wrong bug

PromptAlo — Fri, 23 Oct 2026 15:50:27 +0000

Anyone who has debugged with an AI model knows this loop. You paste the error, ask for a fix, and get a confident patch. It looks right. The error moves somewhere else. You paste the new error, get another patch, and a few rounds later the code is messier and nobody, human or model, can say what the bug actually was.

The model usually isn't the problem. "Fix this" quietly asks for four different things at once: a way to reproduce the bug, a place where it lives, a reason it happens, and a check that the fix didn't break something nearby. Asked all at once, the model jumps to the last step and guesses at the first three.

What breaks the loop is asking for one stage at a time, with a prompt that only wants that stage's answer. Here are four.

1. Reproduce

Below is a bug report and whatever logs or error output I have.

Write the shortest set of steps that should reproduce it, starting
from a clean state. For each step, say what I should see if the bug
is present and what I'd see if it isn't.

If the report is missing something needed to reproduce it
(version, environment, input data), list those gaps first as
questions, before any steps.

The aim here is a recipe, not a theory. Asking for the gaps first stops the model guessing an environment and sending you down the wrong path.

2. Isolate

The bug reproduces with the steps below. Here is the code I think
is involved.

Suggest a sequence of checks that halves the search space each
time: what to comment out, log, or hard-code, and in what order.
For each check, say what result would rule a part in or out.

Don't propose a fix yet.

"Don't propose a fix yet" carries a lot of weight. Without it, most replies skip straight to a patch for whatever looks suspicious.

3. Explain

Here is the code where the bug lives, and what I found while
isolating it.

Explain the cause in plain language: what the code assumes, where
that assumption breaks, and why it only shows up under these
conditions. Then give one sentence I could use in a code comment.

This is the step people skip, and it's the one that stops the same bug coming back in a different file. If the explanation doesn't hold up against what you saw while isolating, you're not done.

4. Check the fix

Here is the fix, and the explanation of what caused the bug.

The bug came from a wrong assumption in the code. Point to other
places in this code that could rely on the same assumption, and
for each one, say what input or condition would break it.

Don't rewrite anything. Just tell me where to look.

A fix closes one instance of the problem. This step asks what else the same wrong assumption could break, which is often where the next bug is waiting.

The second half of the pain

Writing four careful prompts once is easy enough. The trouble is that by the next bug they're buried in an old chat, and "fix this" is right there in a fresh one. That's how the loop starts again.

Saving them is what stops it. We make PromptAlo, a Chrome extension that keeps your prompts in a library with AI tags and sends any of them to ChatGPT, Claude or Gemini in one click. Save the four stages once and the next bug starts at Reproduce instead of at "fix this": https://chromewebstore.google.com/detail/promptalo/jlfoipkmagdoafhlkhfkakdankpjhgni?utm_source=devto&utm_medium=brand_post&utm_campaign=w6-fri-devto-store

Which stage of a bug do you find hardest to get a straight answer on from AI?

This post was written with AI assistance and edited by the PromptAlo team.

The one line that explains a prompt edit

PromptAlo — Tue, 20 Oct 2026 10:08:39 +0000

Most prompt edits are reactions. A reply misses in some specific way, and a line goes in to stop it happening again. The edit is small. The reason behind it is the useful part, and it's usually gone within a week.

Edits without reasons pile up

A prompt that has been edited a dozen times becomes a list of rules with no explanations. Some still matter. Some were fixes for one odd input. From the outside they look identical, so nobody dares remove any of them, and the prompt only ever grows.

One line per edit

The fix is cheap: when you change a prompt, write one line saying why.

"Return plain text": output was pasted into a CMS that broke on markdown.
Removed the word limit: short answers were dropping the caveats.

Format: what changed, a colon, what was going wrong. Keep it beside the prompt, or at the bottom of the prompt text with a clear label so the model ignores it.

What the notes tell you

After a few months the notes show patterns. If most edits are about format, the prompt probably needs one clear output spec rather than five patches. If most are about tone, the audience may be underspecified. The notes turn a pile of fixes into a diagnosis.

For context, we make PromptAlo, a Chrome extension that saves prompts and sends them to ChatGPT, Claude or Gemini in one click.

Do you keep any record of why a prompt changed?

https://promptalo.conceptgame.co.uk/?utm_source=devto&utm_medium=brand_post&utm_campaign=w6-tue-devto-short

This post was written with AI assistance and edited by the PromptAlo team.

One prompt, one task: when to split a saved prompt in two

PromptAlo — Tue, 13 Oct 2026 10:05:39 +0000

Saved prompts tend to grow sideways. A prompt that drafts replies to support emails picks up a line asking it to rate the email's urgency. Then another asking it to suggest a help-centre article. Each addition made sense at the time. Now one prompt is doing three things, and none of them quite as well as it used to.

The fix is usually to split it. Here's how to tell when, and how.

Signs a prompt is doing two things

The output has parts that go to different places. The reply goes to the customer; the urgency rating goes into your tracker.
You regularly delete part of what comes back. If you only wanted the reply today, the rest is noise.
It has "if" instructions. "If it's a refund request, also..." is often a second prompt hiding inside the first.
The format rules pull against each other. "Warm and conversational" and "return a rating from 1 to 3" rarely sit well in one answer.

How to split it

List what the prompt produces, one output per line.
Give each output its own prompt, starting with only the instructions that shape that output.
Copy the shared context into both. Who the customer is, what the product does, the tone you write in. A little repetition is cheaper than a tangled prompt.
Chain them if one needs the other. Run the first, paste its result into the second.

What each half keeps

Each half keeps the context both need, its own format rules, and its own limits. It drops every instruction that only mattered to the other half. If a line makes sense in both, it probably belongs in both.

For context, we make PromptAlo, a Chrome extension that adds AI metadata tags to prompts you save. A rough heuristic: if the AI tags on a saved prompt miss the point, the wording probably does too.

Have you split a prompt like this, and where did you draw the line?

https://promptalo.conceptgame.co.uk/?utm_source=devto&utm_medium=brand_post&utm_campaign=w5-tue-devto-short

This post was written with AI assistance and edited by the PromptAlo team.

Your notes app is fine. It's just the wrong place to reuse a prompt from.

PromptAlo — Fri, 09 Oct 2026 13:29:52 +0000

Most people who use ChatGPT, Claude or Gemini every day already have a prompt collection. It's usually a notes doc. Maybe a pinned note, maybe a page in a wiki, maybe a text file on the desktop. It grew one paste at a time, and it works well enough that nobody thinks about it.

This isn't an argument against that doc. Notes apps are good at what they were built for. The argument is narrower: a notes doc is a fine place to store a prompt and an awkward place to reuse one, and reuse is the only reason to keep a prompt at all.

What a prompt collection is actually for

A prompt you keep has one job: to be used again, on a new piece of work, with roughly the same result as last time. Everything else (naming, sorting, tagging) only matters if it makes that next use faster or more reliable.

So the useful question isn't "where can I put prompts?" Anywhere can hold text. The question is "what happens between deciding to reuse a prompt and seeing the reply?"

The reuse path, step by step

Picture the notes route. You're in a chat tab and want the prompt you used for, say, turning a long thread into a short status update.

Leave the chat tab and open the notes app.
Find the right note, then the right section of it.
Work out which of the similar-looking versions is the current one.
Copy it, come back, paste it, and fix anything that came across oddly.

None of those steps is hard. Together they're enough friction that a lot of people just type a rougher version of the request instead. That's the quiet cost of a notes collection: not lost prompts, but prompts that are technically saved and practically skipped.

Three ways a notes collection drifts

Copies multiply. The prompt gets tweaked in a chat, the tweak works, and the improved version never makes it back to the doc. Or it does, pasted underneath the old one. After a few rounds you have three near-identical blocks and no record of which one you'd trust.

Formatting gets "helped". Some editors turn straight quotes into curly ones, convert lines starting with a dash into bullets, or reflow spacing. For most notes that's harmless. For a prompt where structure carries meaning, it's a small, silent edit.

Search is tuned for documents, not tasks. Notes search finds words you remember typing. When you go back for a prompt, you often remember the job ("the one for status updates"), not the wording, and the note might be titled something else entirely.

None of these is a disaster. They're slow leaks, and they all land at the moment of reuse.

What a better home for working prompts needs

Strip it down and a home for prompts that already worked needs four things:

It lives where the work happens. For most people that's the browser, next to the chat.
It finds by job, not just by title. Tags or descriptions that match how you'll look for it later.
It gets the prompt into the chat without a copy-paste round trip, so reuse costs less than retyping.
It's the same library on every machine you work on, so there's one current version instead of a copy per laptop.

You can get partway there with a well-kept notes doc and some discipline. Plenty of people do, and if that's you, keep going.

Where PromptAlo fits

I build PromptAlo, a free Chrome extension that does those four things for prompts that already worked. You save a prompt from the browser into your library. AI tags are added so you can find it by what it's for. A saved prompt goes into ChatGPT, Claude or Gemini with one click. The library syncs across your devices. If a prompt is worth giving away, you can share it to a public community library, and on Pro an AI quality review checks it for personal data before it's published.

If you want to try it against your current notes doc, it's free on the Chrome Web Store: https://chromewebstore.google.com/detail/promptalo/jlfoipkmagdoafhlkhfkakdankpjhgni?utm_source=devto&utm_medium=brand_post&utm_campaign=w4-fri-devto-store

When a notes doc is honestly enough

To be fair to the notes app:

If you reuse a handful of prompts, rarely, a single note is fine.
If your prompts are mostly one-offs, there's nothing to reuse, so nothing to optimise.
If you already keep one clean version per prompt and paste it without thinking, your reuse path is short already.

The case for a dedicated vault gets stronger as three things grow: how many prompts you lean on, how often you go back to them, and how many chat tools you switch between.

A question for you

Where do your working prompts live right now, and what's the most annoying step between "I need that prompt" and seeing the reply?

This post was written with AI assistance and edited by the PromptAlo team.

Writing prompts that survive a move between ChatGPT, Claude and Gemini

PromptAlo — Wed, 07 Oct 2026 10:10:53 +0000

Most people have a favourite model, and most prompts get written for it without anyone noticing. Then a day comes when you open a different one, paste the same wording, and the reply is close but not quite. The words travelled. The assumptions didn't.

A prompt that moves well between ChatGPT, Claude and Gemini is mostly a prompt that says out loud what one model was quietly filling in. A short way to split it:

Keep in the shared text (model-neutral):

The task in one plain sentence. No in-jokes from the chat it was born in.
The format, spelled out. "Five bullets, under 15 words each" travels. "Keep it tight" gets read three different ways.
The rules as rules. If something must never appear, say so in its own line rather than hoping the tone implies it.
No app features by name. A prompt that tells one assistant to use a feature only that app has will stall in the other two.

Keep as a short note per model:

What you had to add. If one model needed an extra "no preamble" line, write that down next to the prompt, not inside it.
What it does differently. Longer, shorter, more cautious, more formal. One line is plenty.
Which one you'd reach for first for this particular job, if you have a preference.

The shared text stays clean and portable. The notes hold the model-specific tweaks, so you're not carrying three diverging copies around.

For context, I build PromptAlo, a Chrome extension for keeping prompts that already worked. A saved prompt goes to ChatGPT, Claude or Gemini in one click, which is only useful if the wording holds up in all three.

Which model do you write for first, and what's the first thing you change when you move a prompt to another one?

https://promptalo.conceptgame.co.uk/?utm_source=devto&utm_medium=brand_post&utm_campaign=w4-wed-devto-short

This post was written with AI assistance and edited by the PromptAlo team.

The empty toolbar icon problem

PromptAlo — Fri, 02 Oct 2026 13:13:18 +0000

There's a moment every Chrome extension has to survive, and it isn't the Store listing or the marketing site.

It's the moment after Chrome says the extension is added. The icon is sitting in the toolbar and nothing useful has happened yet. That moment is quiet, and it's where a lot of small tools fail. Not because the idea was wrong, but because the first session never gave someone a reason to do the one action that makes the product real.

I build PromptAlo, a free Chrome extension for keeping prompts that already worked in chat so you can find them again later. Anything you save goes back into ChatGPT, Claude or Gemini with one click. This piece isn't a walkthrough of buttons. It's a look at the first-run problem for small extensions, with PromptAlo as the example.

What "first run" means when the product is a browser add-on

First run for a SaaS dashboard often means an account, a checklist, maybe a sample project. First run for a Chrome extension is stranger. The person may already be mid-task in ChatGPT or Claude. They installed because something annoyed them five minutes ago. They aren't looking for a tour. They're looking for relief.

That changes the design question. You aren't welcoming someone into a new world. You're interrupting a world they already live in. The first-run job is narrower than "onboarding." It's this: help them keep one prompt that already worked, soon enough that the install still feels connected to the pain that caused it.

It's easy to treat "they added the extension" and "they started using it" as the same event. They aren't. The icon can be present while the library stays empty, and presence without a kept win is just another toolbar citizen. The thing worth designing toward is the kept win, not the install click.

The empty state

After install, if nothing is saved yet, the library is empty. That emptiness can mean two different things to a new person.

One reading is invitation: "the prompts worth keeping will show up here." The other reading is accusation: "you haven't done the thing yet, and you don't know what the thing is." Empty states usually try to fix this with a long explanation or with a fake sample item, and both can backfire. A long explanation feels like homework. A fake sample can teach the wrong lesson, that the library is a demo rather than a place for their wins.

A better empty state does something simpler and harder. It names the next useful action in the language people already use. Something closer to "when a reply finally works, keep that prompt here" than "welcome to your workspace." The test is whether the blank actually helps or just decorates the void.

What would even count as a first save

This sounds pedantic. It isn't. If you can't say what "first save" means, you can't tell whether the first session worked.

For PromptAlo, a first save isn't "they clicked around." It isn't "they opened the popup." It's that they kept a prompt whose output was already useful in chat, and they can find that prompt again later. The success is keeping a win, not exploring the UI.

That definition forces some honesty. A person who installs and never hits a "this worked" moment in the first session may never save anything, and that isn't necessarily the save button's fault. It might be a failure of timing, or of expectations, or of a product that assumes a win will appear on cue.

It's also easy to invent theater-saves. If the first-run path nudges someone to save a placeholder just to "complete onboarding," it teaches them that saving is a chore, which is the opposite of the point. The first save should feel like locking in something that already earned its place.

How would you know it happened? In principle, a kept prompt exists for that person. Measuring that well is its own problem, and this piece doesn't try to solve it. The design intent holds even when the measurement is imperfect: a first save means a real prompt worth keeping, not a checkbox.

The first session, minute by minute (as a design question)

Here's one way to picture a good first session, written as questions rather than a script.

Minute zero: they install because they lost a prompt, or because they're tired of reconstructing one. The extension appears. Do they understand, in one glance, what it's for?

Minute one: they're back in a chat tab. Does anything remind them that keeping a win is possible without leaving the flow they're already in? Or does the product only exist if they remember to open it?

Sometime in the next few minutes: a reply lands that's actually good. That's the fragile window. What makes "keep this" feel obvious then, without being noisy on every other message?

After they keep something: can they find it again without a scavenger hunt? For PromptAlo, the library is the answer, and a saved prompt goes back into the chat tool you use in one click.

This deliberately isn't a click-path tutorial. The sequence matters less than the feeling: the keep happens at the moment of success, and the future find is believable.

The open questions

Which lever moves first is genuinely unclear. It might be copy. It might be when the product speaks up. It might be that some people install without a win handy, and no amount of first-run polish fixes a missing reason.

Then there's how assertive to be. Small tools die from being ignorable. They also die from being annoying. The line between a timely nudge and a nag is hard to find, and it sits in a different place for every tool.

If you'd like to see how PromptAlo handles its own first run, it's free on the Chrome Web Store: https://chromewebstore.google.com/detail/promptalo/jlfoipkmagdoafhlkhfkakdankpjhgni. The first few minutes after install are the part this whole article is about, so that's the bit worth looking at.

A question for builders shipping small tools

If you ship anything with a thin first session (extensions, CLIs, little utilities), how do you decide what the first real action is, and how do you know someone crossed it without turning the first run into a fake checklist?

This post was written with AI assistance and edited by the PromptAlo team.

A checklist for what to keep next to a working prompt

PromptAlo — Mon, 28 Sep 2026 09:26:25 +0000

A prompt that works is rarely just the text. The words on the page are the easy part to copy. What's harder to recover later is the surrounding record: what job it was for, which model it ran on, the shape of output you expected, and one example input that produced a good reply.

Without that record, reopen becomes guesswork. You paste the same wording into a new chat and get something close, or something odd, and you can't tell whether the drift came from the model, the missing example, or a constraint you forgot to restate.

A practical checklist, kept beside the text:

Job: one line on what this was for (summarising a long thread, say, or drafting an FAQ answer).
Model: which chat it ran in when it worked.
Output shape: bullet list, table, short paragraph, JSON-ish block, or whatever you actually needed.
Example input: one real-ish sample (stripped of private details) that previously produced a solid reply.

That's enough to judge whether a later paste is still the same tool, or a different one wearing the same words.

For context, I build PromptAlo, a Chrome extension that saves prompts to a library, adds AI tags to them, and sends any saved one to Claude, ChatGPT or Gemini in one click. The four notes above are still worth writing yourself, because they describe how you used the prompt, and that part only you know.

If you already keep prompts somewhere: which of those four notes do you write down, and which stay only in your head?

https://promptalo.conceptgame.co.uk

Disclosure: this article was written with the help of AI and reviewed and edited by me before publishing.