Agents, skills, and automation
Understand the components, design a first bounded agent, and make recurring work recoverable.
Specify tools, permissions, handoffs, and a completion test.
Prompts, skills, workflows, and agents
Understand the parts before designing an automation.
Give the model the facts, or give it tools
The most reliable AI systems hand the model the information it needs. When that is impossible, they give it a small set of well-described tools and check what it does with them.
Build your first agent around a document inventory
Define a small job, limited permissions, and an observable result.
When do multiple agents help?
Assign functional work and preserve a shared source record.
Make recurring work resumable and reviewable
Specify triggers, checkpoints, duplicate handling, and failures.
Maintain project instructions without accumulating clutter
Keep stable rules, changing state, and source material in their proper places.
Choose scripts, models, and human review deliberately
Route work by observable requirements and enforce boundaries outside the prompt.
A useful way to work
Read in order for a gradual introduction, or use an individual lesson as a reference when a question comes up.