A Copilot Studio agent can be answering questions within an afternoon. You give it a name, connect a document, and try a question in the test pane. The useful work begins when that tidy demo meets a real channel. A colleague may get a different answer in Teams, or the agent may say it "submitted your request" when no record was ever created.
This module follows one agent from an empty draft to publication, with most of the attention on those gaps. You'll keep its answers tied to an approved source, build conversations that collect only the values they need, and connect tools and flows that wait for system confirmation before reporting success. You'll also test each published destination on its own. Throughout the module, keep the evidence states separate. Saving, testing, publishing, and observing the agent in a real host each prove something different. Fluent wording proves none of them.
The lessons focus on design and diagnosis, because Copilot Studio's controls change between releases. We name controls by their job instead of asking you to memorize a menu. If you have a licensed environment, you can build along. If you don't, the paper exercises let you practise the same decisions.
What you'll walk away with
Build and ground a first Copilot Studio agent, then verify it claim by claim
Choose deliberately between the classic and new agent experiences
Design reliable knowledge grounding and deterministic topic conversations
Add prompts, flows, and Adaptive Cards without reporting unconfirmed work
Take an agent autonomous with human approval, evaluation, and safe publishing
Estimate maker licensing and Copilot Credit consumption for a real audience
