Your AI output should
stand out from the rest.
Everyone is using AI now, and getting back the same hedging, the same bullet structures, the same polite, forgettable advice. The default output is the wrong starting point if you want your work to stand out for school, a portfolio, a pitch, a launch.
The fix isn't a better model. It's a better prompt and a better workflow, plus a way to learn them while you work.
Four problems no prompt library solves
Same prompts, same answers.
Everyone is using AI now and getting back near-identical hedging, the same bullets, the same forgettable advice.
No system to consistently stand out.
There is no shared rubric or method for prompt quality. Just folklore, threads, and paste-template sites.
No way to learn while you prompt.
Feedback loops happen too late, or never. You hit send, get a generic answer, and never see what would have moved the needle.
Big tasks need a plan, not one mega-prompt.
Ambitious goals collapse when crammed into a single message. Without phased structure, the output is a brief about the artifact, not the artifact.
Soon: VS Code extension for editor workflows.
- Type, hope, repeat. Same vague answers.
- No idea why one prompt worked and another didn't.
- Cram an entire goal into one mega-prompt.
- Score → Enhance → Send. Every change cited.
- See exactly which dimension is weak before you hit enter.
- Ambitious goals decompose into phased prompts that synthesize.
Two modes.
One extension.
Simple prompts get scored and rewritten with cited research. Ambitious prompts become phased plans that end in the finished artifact. The same extension, routing based on the complexity of what you typed.
Score and rewrite
For single prompts. Type, score, rewrite, send. One click.
- 01
Score · 6 dimensions
Specificity, structure, context, constraints, examples, anti-failure. Each dimension has a research-backed scoring rubric.
37MaxOutputAI ReadyVery broad. Try adding a clear goal and constraints.> scored·37/100 · weak · specificity low - 02
Rewrite · research-grounded
Sclar on prompt sensitivity, Mollick Wharton on structure, Bsharat on principled instructions. The AI rewrites your prompt using these principles, with citations you can click.
Before · 28After · 87 · +59write me an emailDraft a 3-paragraph follow-up email to a client about a delayed project deliverable. Tone: warm, specific, concrete. End with a single next-step.Cited · Bsharat 2023 · Sclar 2024 · Liu 2024> grounded in·12+ peer-reviewed sources - 03
Measurable improvement
See the before/after scores side by side. Accept, edit, or reject the rewrite. No placeholders, no guesswork.
> delivered·87/100 · +50 points
Plan, execute, synthesize
For ambitious goals. Decompose the work, stay on track, ship the deliverable.
- 01
Give context
Drop in your resume, past work, PDFs, or screenshots. The extension extracts the text and folds it into every step.
> loaded·resume.pdf · 3,168 chars · 6 Q&A - 02
Get a phased plan
AI-generated, tailored to your archetype (design, code, writing, plan, analysis). 4 to 6 ordered prompts, not generic scaffolding.
Project plan · design archetype2 / 5- ✓Context intake6 questions
- ✓Plan generation5 phased prompts
- 3Execute step 1scoped output
- 4Forced synthesisno placeholders
- 5Finished artifactspecification v1.0
> locked·5 steps · design archetype - 03
Forced synthesis
The last step is deterministic: "Produce the finished artifact. No placeholders, no hedging, no re-summarizing." Guaranteed every run.
> delivered·specification v1.0
The guarantee
Every Project Mode plan ends with a deterministic synthesis step that forbids hedging, placeholders, and re-summarizing. You get the artifact, not a brief about the artifact.
Every score, every rewrite.
Cited.
MaxOutput doesn't guess what makes a prompt better. Every scoring dimension maps to peer-reviewed research and every rewrite principle has a paper behind it. Click any title below to open the original source.
quality uplift on GPT-4 with principled rewrite rules.
Bsharat et al., arXiv 2023. One of the 12 papers behind every MaxOutput score.
Six scoring dimensions
Specificity
Concrete nouns vs vague pronouns.
Structure
Section order, labelling, format clarity.
Context
What the model needs to ground its answer.
Constraints
Must-haves, must-avoids, hard limits.
Examples
Shot count, diversity, in-distribution.
Anti-failure
Refusal clauses, uncertainty handling.
Sources. Every link opens the original paper.
Plus the official prompting guides from OpenAI, Google, and Anthropic. Every enhancement rule in the extension names the specific paper that justifies it.
Proof first.
Same goal.
Same resume.
Two outputs.
▾ One test · two AI outputs · one verdict
Both tabs saw the same prompt ("build me a top-tier portfolio") and the same resume. Only one had MaxOutput on top.
You should consider what sets your portfolio apart.
Think about the audience you're targeting, whether that's AAA studios,
indie teams, or somewhere in between. Your portfolio should emphasize
your strongest technical work while also showing range.
Consider using a clean, modern design that doesn't distract from the
projects. You might want to include descriptions of your role and
quantifiable outcomes where possible.
You may want to highlight any awards or recognition you've received.
The tone of your portfolio should match the kinds of studios you hope
to hear back from. Think carefully about what story you want to tell.
"It moves past ‘advice’ and gives you a specification."
Cited research, not vibes.
Every score and every rewrite has a peer-reviewed paper behind it. Click any title in the sources list to read the original.
Your keys, your machine.
API keys live in chrome.storage.local on your device. Requests go straight from your browser to the provider. We never see them.
Works on every major AI.
Same extension, same scoring, same rewrites on ChatGPT, Claude, and Gemini today. VS Code for editor workflows is next.
Free to learn. BYO key for unlimited. Hosted Pro when you don't want to think about keys.
Get started.
Free with your own API key, or with Chrome's built-in AI. Pro tier is hosted and key-free, launching soon.
Paste your OpenAI, Anthropic, or Google key, or use Chrome’s built-in Gemini Nano. Keys stay on your device, we never see them.
- Score + Enhance + Project Mode — all included
- Unlimited runs with your own key
- ~$5 of API credit → hundreds of runs
- No-key fallback: Chrome’s built-in Gemini Nano
Hosted. No key management. Priority model routing, higher context limits, team seats.
- Everything in Free
- No API key required
- Team plans · Q3 2026
Key security · how BYO actually works
Your API key stays in chrome.storage.local on your machine. Requests go directly from your browser to OpenAI, Anthropic, or Google. MaxOutput has no backend that can see them. Uninstall the extension and the key is gone.
Quick answers.
The five questions everyone asks first. If yours isn't here, the privacy policy and the sources list above probably cover it.
What is MaxOutput?
A Chrome extension that scores every prompt you write on six research-backed dimensions, rewrites it with cited principles in one click, and turns ambitious goals into phased prompts that ship the finished deliverable. Works inline on ChatGPT, Claude, and Gemini.Is it free?
Yes to start. The Trial tier gives you 10 free projects on our hosted endpoint. The Unlimited tier is free forever if you bring your own OpenAI, Anthropic, or Google API key. A hosted Pro tier (no key management) is coming.Does it work on every AI?
Today: ChatGPT, Claude, and Gemini. Same extension, same scoring, same rewrites on each. A VS Code extension for editor and terminal workflows is next.Does my prompt data leave my device?
No. Your prompt text, AI responses, and pasted API keys never leave your machine. The only thing that can leave is opt-in anonymous ratings (a UUID, a score, which research rules fired), and only if you have Share anonymous feedback on. Full details in the privacy policy.How is it different from a prompt library?
Libraries hand you templates to copy. MaxOutput scores your own prompt as you type, rewrites it with citations to specific papers, and orchestrates multi-step plans inline. You learn the underlying rubric instead of paste-template fatigue.
This is the tool I wanted as a student.
So I built it.
I kept getting the same hedging, generic answers from every AI tool I used. So I read the prompt-engineering papers, turned their findings into a scoring rubric, and built the extension I wanted to use myself.
If MaxOutput helps your work stand out, whether for school, for a portfolio, or for a launch, that's the whole win.
Make AI outputs that stand out.
Free to start. Free to use with your own key. No account, no waitlist for the BYO path.