AI assistants and search decision
Prompt Sloth
A capable developer can build a useful, smaller replacement (browser extension + lightweight backend) in a few weeks; the product's value is largely execution and polish rather than proprietary data or network effects.
Visit website↗$3.33/mo
$40/yr
Read off the official pricing page.
$100one-off68 h to build
$15/mo3 h/mo upkeep
On cash alone, building overtakes the subscription at 8 seats.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Prompt Sloth alternatives, with the arithmetic →
What a replacement has to do
- Take a user's rough prompt from the page, send it to an LLM with a template/role/context, receive an improved prompt, and inject it back into the target chat box; store templates and history.
What it still won’t have
- Polish of a shipped cross-browser extension (edge-cases across many AI tools)
- Existing community template library and shared templates
- Desktop app integration with system-wide ⌘E and app-specific quirks
- Priority support and product updates from the vendor
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 8 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal Prompt Sloth replacement: implement a Chrome extension (content script + background) and a small Node.js/Express backend. Stack: Chrome MV3 extension, React (popup/overlay) or plain JS for UI, Node.js + Express backend, Postgres (or SQLite) for encrypted templates/history, and Google OAuth for optional sync. In scope: detect and read focused chat input on popular AI sites, show an 'Improve' button, send prompt+selected template to the backend, call an LLM provider (configurable OpenAI-compatible endpoint) to produce an improved prompt, return and inject improved prompt into the input, store encrypted history and allow creating/saving templates (//shortcut shorthand). Out of scope: packaging a native desktop app and advanced cross-app keyboard hooks. Include error handling for network/LLM errors, input sanitization, integration tests for content script messaging, and unit tests for backend template rendering and API calls.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 4 cited sources+3
- Price verified on pricing page+3
- Evidence score63
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 4
Every page the run actually retrieved.
- official productPrompt Sloth
- official pricingPricing
- open sourcehangwin/mcp-chrome
- open sourceszczyglis-dev/py-gpt
Integrity checks
What held up, and what did not.
