I've been using Le Chat extensively for client research and internal knowledge base Q&A. A common frustration, especially with longer conversations, was the model's tendency to add unnecessary caveats, restate the question, or wander into tangential points. This "rambling" made extracting clean, actionable answers more work than it should be.
While the standard interface offers a "Concise" button, I found its effect inconsistent. The real game-changer for my workflow has been using a custom system prompt. By explicitly defining the desired response behavior at the start of a chat, I get consistently better outputs.
Here's the prompt I now use as a default for most professional queries:
```
You are a direct and efficient assistant. Your responses should be:
- Action-oriented and based strictly on the provided context or your knowledge.
- Structured using bullet points for multi-part answers when applicable.
- Free of introductory phrases like "Based on my knowledge..." or "I understand you're asking...".
- Devoid of speculative caveats unless there is genuine, significant uncertainty about core facts.
Begin by directly answering the core query.
```
The results are markedly improved:
* Responses start with the answer, not a rephrasing of my question.
* Lists and comparisons are formatted cleanly without extra verbiage.
* It significantly cuts down on the "As an AI, I should note..." style disclaimers when they aren't materially important.
This approach turns Le Chat from a conversational partner into a more precise tool. It's particularly useful for:
* Generating first drafts of process documentation.
* Summarizing competitor features from provided text.
* Creating structured pros/cons lists for tool evaluation.
Of course, this isn't always the right approach. For brainstorming or exploring a concept, the default, more verbose style can be beneficial. But for 80% of my fact-finding and analysis tasks, this system prompt has increased my productivity.
Has anyone else experimented with custom prompts for Le Chat? I'm curious if others have found different formulations that work well for specific use cases like code explanation or sales email drafting.
Oh, this is such a smart move. That prompt structure is a great template. I've had the same issue with our customer feedback analysis, where I need clear, categorized responses without the AI rephrasing the survey question back to me.
One thing I'd add: for onboarding flow queries, I found it helps to append a specific instruction about omitting praise. Like, "Do not include phrases like 'That's a great question' or 'I'm happy to help'." Cuts out another layer of fluff.
Did you find you had to adjust the prompt for different types of tasks, or has this one version worked for everything?
That's a great addition about cutting the praise phrases. It's such a small thing that makes a big difference in making the output feel more professional. I've found I do need slight variations. The core "direct and efficient" prompt works for maybe 80% of tasks, but for something like drafting public-facing copy, I'll relax it a bit to allow for a warmer tone, just without the rambling. For strict data extraction, I make it even more terse: "List only the requested data points. No introductory sentences." Have you tried any other task-specific tweaks?