𝗪𝗵𝘆 𝗥𝗲𝗮𝗹 𝗪𝗼𝗿𝗹𝗱 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗔𝗿𝗲 𝗛𝗮𝗿𝗱𝗲𝗿 𝗧𝗵𝗮𝗻 𝗧𝗵𝗲𝘆 𝗟𝗼𝗼𝗸

𝗪𝗵𝘆 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗔𝗿𝗲 𝗛𝗮𝗿𝗱𝗲𝗿 𝗧𝗵𝗮𝗻 𝗧𝗵𝗲𝘆 𝗟𝗼𝗼𝗸

AI projects seem straightforward. You link a model to a UI. You let it answer.

Most work happens before the AI speaks.

I built Fix-It Fast AI. I learned the hardest parts were not prompts. I struggled with data and users.

Users upload blurry photos. Labels fade over time. Model numbers are missing.

AI models work only with the information they receive. I spent time on image processing and OCR.

A generic AI knows what a dryer is. It does not know specific error codes. It does not know brand issues. I built a repair knowledge base.

AI alone is not enough. You need:

• Clean data
• Strong search
• Expert knowledge
• User insights

Bigger models are not the goal. Solve real problems with a good workflow.

Tech matters. Knowing the user problem matters more.

Good software is simple. It helps you work faster.

Source: https://dev.to/michael_groover_1fe970a66/why-real-world-ai-projects-are-harder-than-they-look-3jpb Optional learning community: https://t.me/GyaanSetuAi