Funnel workflow for going from "I want an agent that does X" to a deployed, evaluated, cost-monitored agent. Runs through nine phases starting with the is-this-task-agent-appropriate check (agent-project-development), then prompt design with eval criteria first (prompt-engineering), tool design and consolidation (tool-design), architecture selection for multi-step work (multi-agent-patterns), pers
Receba novas skills de Design e Frontend toda segunda
1 email curto, só com as skills novas de Design e Frontend. 4 minutos de leitura, sem spam, cancela com 1 clique.
Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.
Ler descrição completaRecolher descrição
Build AI Agent
The most common failure in agent projects is skipping the first question: "should this even be an agent?" The second most common failure is building the agent without an evaluation pipeline, so nobody can tell if it's getting better or worse over time. This workflow forces both.
An agent is a prompt plus tools plus state plus cost. Teams that optimize only the prompt ship fragile systems. Teams that follow this funnel ship agents that survive real use.
When to use t
[Description truncada. Veja o README completo no GitHub.]