𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗠𝗼𝗱𝗲𝗹 𝗔𝗰𝗰𝗲𝘀𝘀 𝗳𝗼𝗿 𝗔𝗜

𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗠𝗼𝗱𝗲𝗹 𝗔𝗰𝗰𝗲𝘀𝘀 𝗳𝗼𝗿 𝗔𝗜

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

Production products are not this simple. Different tasks have different needs.

• Support chat needs speed.
• Doc Q&A needs reasoning.
• Automation needs structured output.
• Dev tools need code quality.

Do not treat every request the same. Use a model access layer. Place this layer between your product and the model provider. Stop calling models from every feature. Call an internal AI layer instead.

Example call: ai.run({ workflow: "support_chat", input: userMessage })

Define your workflow before you choose a model.

Source: https://dev.to/ye_allen_/how-to-build-ai-workflows-with-unified-model-access-2alg