ai-architecture-advisor

# AI Architecture Advisor The **front-door decision skill** for "I have problem X — what should I build with?" It owns the **choice** — which approach fits, when to promote complexity (and when *not* to), how to transfer knowledge, how to scale — then **hands off** to the deep skill that owns the depth. It spans the whole modeling space in one place so you can compare options that normally live in separate skills side by side: ```text tabular GBDT · deep net · Transformer/LLM · RAG · fine-tuning · agents multimodal/omni · embeddings & retrieval · recsys/ranking · model architecture (dense/MoE/SSM/diffusion) ``` No theory dumps — decision tables, elimination logic, tradeoffs, and a pointer to the deep skill. **The architect's move is to ask before answering.** The amateur hears "build an AI feature" and reaches for the model they know ("we'll fine-tune Kimi"). The architect first asks: *what data type? what volume? what task? what's the success metric? do you even need a Transformer?* The skill that distinguishes an architect is the willingness to say **"for this, CatBoost wins,"** **"here you need a Transformer,"** or **"LoRA is enough here"** — and to refuse to name an approach until the problem is classified. Never jump to a model before the Intake questions below are answered. ## ASCII Flow ```text problem + data + constraints | v 0. INTAKE — ask before answering (see questions below) | do NOT name a model until task + data + metric + c...