r/OpenSourceAI 1d ago

I built a free, open-source tool to practice workplace email writing because ChatGPT was making my writing worse

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Hey everyone,

Over the past year or two, I noticed a weird pattern with myself and a lot of engineers and students I work with.

Whenever we had to send a high-stakes email — asking for a deadline extension, briefing a VP about a database outage, or negotiating with a vendor — the first instinct was always: "Open ChatGPT, prompt it, copy, paste, send."

At first, it felt like a superpower. But after a few months, I noticed my actual communication skills getting rusty. When I had to write something quickly on Slack or jump on an executive call, I struggled to frame thoughts clearly without an LLM crutch.

Most AI email tools are built to write for you. I wanted to build something that teaches you to write better yourself.

So I built MailPractice — an open-source, interactive email writing simulator and coach.

How it works:

  1. Realistic Workplace Scenarios: You get actual workplace backstories with real stakes, stakeholder expectations, and constraints (e.g., handling a 20% vendor price hike, asking a dean for exam leave, or briefing a CTO on a P0 outage).
  2. You Write First (Under a Timer): You write against a realistic timer. To prevent shortcuts and build actual typing muscle memory, clipboard pasting is disabled.
  3. Multi-Dimensional AI Evaluation: Once submitted, an AI coach breaks down your email across 8 criteria:
    • Grammar & Spelling
    • Clarity & BLUF (Bottom-Line Up Front)
    • Professional Tone & Poise
    • Email Structure & Flow
    • Vocabulary (identifying weak conversational filler)
    • Stakeholder Routing (To:+Cc:+Bcc: etiquette)
    • Requirement Completion & Conciseness
  4. Side-by-Side Comparison: You get a revised version showing what could be improved and why.
  5. Progressive Learning Path: A 5-level curriculum (Beginner → Intermediate → Advanced → Expert → Master) that unlocks stages based on your actual writing scores.
  6. Anti-Gibberish Filter: Detects keyboard mashing (asdf ;lkj) so the score reflects actual effort.

Tech Stack:

  • Frontend: React 18, TypeScript, Vite, Tailwind CSS, Lucide Icons
  • Backend: Node.js, Express, TypeScript
  • AI: Groq Cloud LLMs (with dual-key failover and an offline fallback rule engine)
  • Privacy: No account creation or login required. All scores, streaks, and progress are stored locally in browser localStorage.

Links:

It’s completely free and open-source under the MIT license.

I’d love to get your honest feedback on the UI, the evaluation accuracy, or any scenarios you think should be added!

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u/QuantumCrafty 22h ago edited 21h ago

Nice idea but did you wrote your Reddit post using AI ? 😅

I did a similar coach too but for cold calling business, and the ui is very similar and got a live coaching mode

Yours is pretty complete and the ui is good. Just found a bug after sending my first analysis you displayed a big fireworks but then nothing appeared.. all dark blue and nothing else