AI & Automation Listed
agentify
Design production-grade agentic AI systems from a natural-language use case. Runs a clarification loop, walks grounded decision trees (workflow vs agent, RAG vs fine-tuning, single vs multi-agent, autonomy tiers), and emits a detailed enterprise system design document with embedded interactive architecture, sequence, and data-flow diagrams. Every decision cites authoritative sources (Anthropic, OpenAI, OWASP, NIST, cloud well-architected frameworks, peer-reviewed surveys). Supports a production mode (buildable design) and an interview mode (system design interview framing with tradeoffs and probes). Use when the user wants to design, architect, review, or plan an AI agent, agentic workflow, RAG system, LLM application, copilot, or GenAI product, or asks "how should I build" an AI-powered system, or wants agentic system design interview practice.
