AI Integration in Software Products: What You Need to Know
Author
Erdi KöseAI is changing how we build and use software.
From simple chatbots to full AI copilots that assist users — AI features are becoming the norm.
But how should you integrate AI in YOUR product? What should you watch out for?
Here’s what you need to know 👇
1. Start With a Use Case
Many teams jump to "let’s add AI" without a clear purpose.
Instead — define the problem first.
Good examples:
✅ Summarize large reports automatically
✅ Guide users through complex forms with an AI assistant
✅ Personalize recommendations based on user behavior
✅ Automate repetitive business processes
Bad examples:
❌ Add a chatbot just because "everyone has one"
❌ Use AI where simple logic would be better
2. Choose the Right Model
LLM? Vision model? Custom fine-tuning?
You don’t always need to build a model from scratch.
Options:
- Use APIs like OpenAI, Anthropic, Groq
- Self-host Ollama or LM Studio models
- Fine-tune an open-source model for your domain
- Combine embeddings + search (RAG architecture)
At Profabric Tech, we often start with APIs and move to hybrid/self-hosted for cost control.
3. Design the UX Carefully
LLM UX is NOT the same as classic app UX.
Tips:
- Be clear about what AI can/can’t do
- Provide undo and retry options
- Show confidence levels when possible
- Log and monitor interactions for improvement
- Optimize prompt design and token usage
4. Test for Quality & Safety
AI outputs can vary.
Before releasing features:
✅ Test with real user prompts
✅ Add guardrails (block unsafe outputs)
✅ Implement rate limits to control costs
✅ Monitor performance (speed, accuracy, cost per call)
Security tip: Never send sensitive PII to 3rd party APIs without full compliance checks.
5. Plan for Cost Management
AI can get expensive — fast.
Best practices:
- Cache common outputs
- Stream responses instead of single large outputs
- Use local models where real-time isn’t needed
- Monitor API usage and costs actively
Profabric Tech AI Expertise
We help companies:
✅ Identify valuable AI use cases
✅ Integrate LLMs, embeddings, vision models
✅ Build hybrid AI pipelines (API + local models)
✅ Design safe, high-quality AI UX
✅ Optimize for performance and cost
Let’s Add AI to Your Product
Want to explore AI integration?
Need to modernize an existing app with AI-powered features?
👉 Contact us or visit our Services page.
Let’s innovate — together.
Profabric Tech
Innovate, Accelerate, Fabricate.