𝗛𝗼𝘄 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝘄𝗶𝘁𝗵 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗠𝗼𝗱𝗲𝗹 𝗔𝗰𝗰𝗲𝘀𝘀

𝗛𝗼𝘄 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝘄𝗶𝘁𝗵 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗠𝗼𝗱𝗲𝗹 𝗔𝗰𝗰𝗲𝘀𝘀

AI apps often start with one model call. You send a prompt. You get a response. This works for prototypes.

Production apps need more. Chatbots need speed. RAG systems need reasoning. Agents need tool use. Automation needs structure.

Each workflow has different needs. Do not treat every request the same.

Define your workflow first. Use these examples:

• Support chat
• Document Q&A
• Content generation
• Code assistance
• Agent planning
• Structured extraction
• Workflow automation

Put a model access layer between your product and the model provider. Your app calls an internal AI layer. The layer picks the best model for the task.

Source: https://dev.to/ye_allen_/how-to-build-ai-workflows-with-unified-model-access-2alg Optional learning community: https://t.me/GyaanSetuAi