What problem does it solve? Turning a business problem like "build me a customer support chatbot" into a working agentic system requires correctly sequencing providers, agents, capabilities, knowledge bases, and workflows — a process where wrong ordering causes validation failures and silent misconfigurations. ## Core Features & Use Cases - 8-Step Implementation Pipeline: Guides provider setup, agent creation, custom capability development, built-in capability binding, RAG knowledge base configuration, workflow composition, testing, and production hardening in dependency-correct order. - Complexity Tiering: Classifies solutions as Simple (single agent), Moderate (1-2 agents with workflow), or Complex (multi-agent with approval gates) and provides sequenced checklists per tier. - Worked Solution Recipes: Five complete recipes with API payloads, from a simple FAQ chatbot to a full autonomous multi-agent workflow. - Use Case: A developer asked to build "an AI assistant that can look up orders and process refunds" gets the full implementation path: router and support agents, custom lookup_order and process_refund capabilities, escalation bindings, and a workflow from the customer-support template. ## Quick Start Ask the agent to build a customer support chatbot with order lookup and refund processing on Resparkable.