Turn an AI automation idea into a minimal single-agent design in five lessons. Define the task and its steps, then work through the architecture, evaluation, and safety limits. Create and revise an MVP design card for discussion and review before development begins.
适合人群
Product managers and business leaders who have used language models and are preparing to design AI features
Founders who want to develop a clear agent proposal before talking with developers
Developers familiar with models and tool calls who need a framework for designing the whole system
解决的问题
You are unsure whether a task needs a model call, a fixed workflow, or an agent
Requirements amount to feature names such as “smart support,” with no clear actions or completion criteria
Your design works as a demo but lacks evaluation, permission limits, or a plan for human intervention
学完收获
Choose a system structure based on whether the task requires decisions to adapt as new information arrives
Define goals, inputs, permitted actions, completion evidence and stop conditions
Use a seven-layer architecture to check who or what handles models, data, task execution, system operation, and business integration
Define measurable indicators and controls covering outcomes, process, cost, and risk
Find the most important gap in your plan and revise your agent MVP design card
课程亮点
Follow one small task, screening online-course refund requests, throughout all five lessons
Design and revise a proposal before development; the course does not include coding or deployment
Compare the initial and revised plans to see changes in task behavior and risk controls
Decide whether remaining gaps call for more design work, a prototype, or an approach without an agent
