🧠 Today’s Focus
As Lura evolves into more than just a case and document management platform, I wanted to explore how we can make it feel intelligent — like it’s working with you, not just for you. That led me to deepen my integration of Dify and Ollama, specifically around prompt engineering.
While I had Dify running earlier in the project, today was about quality — not just functionality.
🧩 What I Worked On
1.Refining Prompt Templates:
- Instead of using a generic prompt like “Summarize this document,” I wrote a more tailored version:
You are a legal assistant AI inside a document platform. Always summarize in simple language, highlight important names, and suggest next steps for legal actions.
- I also tested multiple prompt structures to see how results changed with small adjustments.
2.Customizing System Instructions:
- Dify allows setting "system messages" that guide how the assistant behaves. I made sure the assistant stays professional, doesn’t hallucinate, and sticks to the workspace’s document context.
3.PDF Chunking and Indexing:
- Learned how Dify chunks large PDF documents before embedding them.
- Tuned the chunk size and overlap to improve answer relevance.
4.Testing Real User Scenarios:
- Sample query: “What’s the main point of this contract?”
- I uploaded an actual test contract and watched how the AI summarized it in 3 lines, perfectly highlighting the client name and conditions.
🔧 Useful Code/Setup
# My Dify docker-compose.yaml snippet
dify:
image: langgenius/dify
environment:
- MODEL_PROVIDER=ollama
- SYSTEM_PROMPT="You are a legal assistant..."
volumes:
- ./data:/app/data
// Sample Prompt Template in UI
{
"prompt": "Summarize this legal document in plain language. Highlight any deadlines or responsibilities.",
"context": "Document file content here..."
}
💡 Takeaways
- Prompt engineering is UX for AI. How you phrase things matters a lot.
- Even “dumb” chatbots can become useful with thoughtful design.
- Working with lawyers? Be precise. AI must never invent or exaggerate.
- Keeping tone and context on-brand is just as important as accuracy.
❓Question
Have you ever tried building your own assistant — even something simple? What did you wish you knew before starting?
On to Day 19. 👨💻💬