TreeMap
A free, open-source disk-space visualizer. Squarified treemap, duplicate hunting, disk-full forecasting, and cleanup that only ever moves files to the Trash.
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一分鐘完成驗證Tune your AI like an equalizer. Pick an archetype, dial the faders, set hard rules — get a ready-to-paste system prompt for Claude, ChatGPT, Gemini, or Grok.
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Tune your AI. Like an equalizer — but for how it talks.
PromptEQ is a visual custom-instructions builder. Pick an archetype, drag the faders, set your rules, and watch a sample reply and your instructions update live. When you're happy, polish them with AI and paste them into Claude, ChatGPT, Gemini, or Grok.
Dark homepage hero.
Generator with a prompt output in the terminal.
Most people use AI on default settings — which is like using a speaker with no EQ. PromptEQ lets you dial in exactly how your assistant thinks, talks, and pushes back.檢視完整 README ↗Tune your AI. Like an equalizer — but for how it talks.
PromptEQ is a visual custom-instructions builder. Pick an archetype, drag the faders, set your rules, and watch a sample reply and your instructions update live. When you're happy, polish them with AI and paste them into Claude, ChatGPT, Gemini, or Grok.
Dark homepage hero.
Generator with a prompt output in the terminal.
Most people use AI on default settings — which is like using a speaker with no EQ. PromptEQ lets you dial in exactly how your assistant thinks, talks, and pushes back.
Four steps:
The Control Booth stays on screen the whole time. It shows a Default AI vs Your AI reply to a sample question, and the live instructions draft, which highlights each line as it changes. The draft is ready to paste as-is. Polish with AI rewrites it for your platform, then checks the result: every rule you set has to survive, emoji rules are enforced, and the text has to fit the platform's length limit. If the rewrite fails, it retries once with feedback; if it fails again, you keep the draft.
Every level of the Candor fader keeps an accuracy over agreement floor: the faders change how criticism is delivered, never whether the AI tells you you're wrong.
| Preset | Vibe | Good For |
|---|---|---|
| ⚡ Operator | Blunt. Fast. No fluff. | Decision-making, quick answers |
| ♟️ Strategist | Pushback and nuance. | Thinking partner, tradeoff analysis |
| 🔬 Learner | Patient. Step-by-step. | Learning new topics, research |
| 🎨 Creator | Riff mode. Loose structure. | Brainstorming, ideation |
| Fader | Range |
|---|---|
| Directness | Warm ↔ Blunt |
| Length | Minimal ↔ Deep |
| Candor | Gentle ↔ Stress-test |
| Analogies | Literal ↔ Analogy-first |
| Structure | Narrative Prose ↔ Bullets & Tables |
| Answer Order | Context First ↔ TL;DR First |
Hard constraints that override the archetype defaults:
Instructions are shaped per platform. ChatGPT gets two separate boxes, each with a live counter against its 1,500-character limit; the other platforms get one block with a suggested length.
grok-4.20-0309-non-reasoning, ~7s, strict JSON-schema output)npm run build, then npm start)There is a backend: an API route that validates your settings, builds the prompt on the server (so the endpoint can't be used as an open LLM proxy), and calls xAI. It's rate-limited per IP (8 polishes a minute) and each model call times out after 20 seconds. No user data is stored.
git clone https://github.com/machovato/PromptEQ.git
cd PromptEQ
npm install
Create a .env.local file in the root:
XAI_API_KEY=your_xai_api_key_here
# Optional: override the polish model; set XAI_REASONING_EFFORT only for models that accept it
# XAI_MODEL=grok-4.3
# XAI_REASONING_EFFORT=low
Then run:
npm run dev
Open http://localhost:3000.
Run the tests (Node's built-in runner, no extra dependencies):
npm test
PRs welcome. If you're pulling on this — hi 👋 — open an issue or just fork and go.
MIT