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Many AI projects fail. The technology is not the problem. The sequence of work is the problem.
You add a chatbot to messy data. The bot gives wrong answers. Users lose trust in your product.
Follow this sequence instead:
- Clean and structure your data first.
- Use Retrieval-Augmented Generation (RAG). This stops hallucinations.
- Queue all AI tasks. Do not block web requests.
- Cache repeated answers. This lowers your bills.
- Log every token. Track costs and user feedback.
Use the Laravel AI SDK. It lets you swap providers. Move from OpenAI to Gemini with a configuration change. Avoid vendor lock-in.
Use Laravel Reverb for streaming responses. Use Laravel Pulse to monitor latency.
Build AI as a service. Do not bolt it onto controllers. Plan for the cost. Set rate limits.
AI is an ongoing engineering task. Prompts drift. Models update. Keep testing your outputs.