Wichtigste Erkenntnisse
- 7B models excel here. Mistral 7B and Llama 3 8B are ideal for email, proposals, memos.
- 70B models are too verbose. Over-explain, use corporate jargon, longer outputs.
- Best 7B: Mistral 7B (most concise). Llama 3 8B (most adaptable to tone).
- Email drafting: Mistral. Business proposal: Llama 3 8B with tone examples.
- Brand voice transfer: Provide 2β3 example emails; model learns tone and word choice.
- Edit mode > generation: Use model to refine existing draft (better control than full generation).
- Speed: Mistral 7B generates 200-word email in 5β10 sec. Instant feedback in IDE/Slack integration.
- Cost: Zero (open source) vs. $30/mo (ChatGPT Plus) or $200/mo (enterprise).
Which Models Excel at Business Tone?
Business writing rewards clarity and concision. Smaller models are better.
- Mistral 7B: Most concise output. Struggles with complex arguments. Best for short-form (emails, Slack messages).
- Llama 3 8B: Balanced. Good for medium-length content (proposals, memos). Adapts well to examples.
- Qwen 7B: Excellent tone matching. Good for non-English business writing (French, German, Spanish).
- Avoid 70B: Over-explains, uses filler words. "It is important to note that..." reads like ChatGPT.
Writing Tasks & Model Recommendations
| Task | Best Model | Prompt Strategy | Typical Output Quality |
|---|---|---|---|
| β | β | β | β |
| β | β | β | β |
| β | β | β | β |
| β | β | β | β |
| β | β | β | β |
| β | β | β | β |
| β | β | β | β |
Prompt Engineering for Brand Voice
Business writing requires consistency. Teach the model your voice.
- 1Gather examples: 3β5 emails/memos in your brand voice.
- 2Create prompt template: "You write like this: [EXAMPLES]. Now draft [TASK] in this voice."
- 3Specify constraints: "Keep to 150 words.", "Use active voice.", "No jargon."
- 4Iterate on outputs: If first draft is too formal, refine prompt: "Use simpler language, remove buzzwords."
- 5Store templates: Save prompts per writing type (sales, support, internal). Reuse for consistency.
Common Business Writing Mistakes
- Using 70B models. They're verbose, sound like ChatGPT, destroy concision.
- No examples provided. Model guesses your voice. Always give 2β3 sample outputs.
- Trusting first draft. Business writing requires 1β2 edit cycles. Use edit prompts, not generation.
Setup: Local Writing Assistant
- 1Start Ollama with Mistral: `ollama run mistral`.
- 2Install VS Code extension "Continue" or browser extension for web apps.
- 3Create custom system prompt with your brand examples.
- 4Assign hotkey (e.g., Ctrl+K) to trigger completion.
- 5Draft email β highlight β Ctrl+K β "Refine this email for [tone]" β copy result.
FAQ
Why is Mistral better than Llama 3 for email?
Mistral is more concise. Llama 3 is more adaptable. For pure speed/brevity: Mistral. For tone matching: Llama 3.
Can I use a 13B model for business writing?
Yes, but unnecessary. 7B is faster and equally good. 13B is slightly better at long proposals (>2 pages).
Should I use generation or editing mode?
Editing mode (refine existing draft) is safer. Generation mode is faster but requires more prompting.
How do I avoid sounding like ChatGPT?
Use small models (7B), provide brand examples, request active voice + short sentences, no filler words.
Can I use local LLMs for confidential emails?
Yes. 100% private. No data leaves your machine. This is the primary advantage over cloud APIs.
What if the output is too formal?
Refine prompt: "Remove buzzwords. Use everyday language. Write like you're texting a colleague."
Sources
- Mistral 7B model card: summarization and instruction-following benchmarks
- Llama 3 8B evaluation: tone adaptation and zero-shot writing tasks
- Business writing style guide: readability metrics (Flesch-Kincaid, Gunning Fog)