๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ถ๐—ป๐—ด ๐—”๐—œ ๐—œ๐—ป ๐—Ÿ๐—ฎ๐—ฟ๐—ฎ๐˜ƒ๐—ฒ๐—น ๐—ง๐—ต๐—ฒ ๐—ฅ๐—ถ๐—ด๐—ต๐˜ ๐—ช๐—ฎ๐˜†

Many teams fail when adding AI to Laravel. The tech is not the problem. The sequence of work is the problem.

Avoid these mistakes:

Follow this order instead:

  1. Clean your data. AI needs structure to work.

  2. Use RAG. Find specific data before the LLM speaks. This stops hallucinations.

  3. Queue all AI work. LLM calls take seconds. Never block a web request. Use Laravel queues and Reverb for streaming.

  4. Cache responses. Save money by caching common answers.

  5. Track every call. Log tokens, costs, and response times.

Build for freedom. Use the Laravel AI SDK. Swap providers by changing one config value. Keep AI logic in service classes.

AI is not a one-time task. Models update. Prompts drift. Monitor your costs. Test your outputs.

Source: https://dev.to/maria_smith_6e545363ac960/building-ai-into-your-web-application-the-right-way-a-laravel-developers-reality-check-24ip Optional learning community: https://t.me/GyaanSetuAi