I built an AI-powered website for a client. Here's every problem I ran into and exactly how I fixed them.
A few months ago, a local business owner approached me to build them a website with AI features a chatbot, auto-content generation, and smart product recommendations. I said yes confidently. I had no idea what was coming.
Here's the honest breakdown:
π΄ Challenge 1: The AI responses were too slow
The chatbot was taking 4-6 seconds to respond. The client hated it. Users were bouncing.
β Fix: Switched from a general API call to streaming responses. Instead of waiting for the full answer, the text now appears word by word just like ChatGPT. Users felt it was instant. Problem solved.
π΄ Challenge 2: AI was giving wrong information about the business
The chatbot kept making up opening hours, prices, and services that didn't exist. Classic hallucination problem.
β Fix: Built a simple RAG (Retrieval Augmented Generation) system. Fed the AI only the client's actual business data menus, prices, FAQs. Now it only answers from real information. Zero hallucinations.
π΄ Challenge 3: API costs were exploding
After 2 weeks live, the OpenAI bill was way higher than expected. The client panicked.
β Fix: Added response caching for common questions. If 100 users ask what are your hours? the AI only runs once and caches the answer. Cut costs by 70% immediately.
π΄ Challenge 4: Mobile experience was broken**
The AI chat widget looked great on desktop. On mobile it was covering half the screen and wouldn't close properly.
β Fix: Rebuilt the widget as a floating button that expands only when tapped. Added proper z-index layering and touch event handling. Tested on 6 different phone sizes.
π΄ Challenge 5: Client kept changing the AI's personality.
Every week the client wanted the chatbot to sound different more formal, then friendly, then professional again.
β Fix: Built a simple admin panel where the client can edit the system prompt themselves without touching any code. Game changer for client relationships.
The result: The website now handles 200+ AI conversations per day, costs under $15/month to run, and the client renewed for a second project.
If you're building AI features for clients the technical part is only 40% of the job. Managing expectations and keeping costs low is the other 60%.
Happy to answer any questions. What challenges have you faced building AI products for clients?
Posted Jun 29, 2026, 11:35 PM UTC