Agent is a word everyone uses and nobody defines
You would like a definition you could repeat.
Understand what AI agents actually do, and where they break.
Automation follows a process; an AI agent may choose steps and tools dynamically toward a goal. Definitions vary, and a chatbot can also use tools. Judge a system by its actual actions, permissions and checks rather than its label.
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A starting goal
I keep hearing about AI agents and automation. Explain in plain terms what they actually do, where they go wrong, and how to think about using them at work.
Change any word so it fits your situation. The course is built from what you type and a few setup questions.
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Useful on their own. The course is for when you want the whole skill, not just the first move.
Original hypothetical task: prepare a summary of three public museum pages. A fixed workflow fetches those three addresses in a set order. An agent might choose which public pages to search next when a date is missing. Either system can still produce an incorrect summary.
Reading public pages and drafting a plan need different permissions from making bookings or sending email. For this example, allow research and a draft only. Define a stop when sources conflict; do not let a page's instructions grant the system new authority.
Check that every museum claim has the right source and that no booking or message was sent. An apparent success is incomplete if it exceeded the intended scope. The example explains a design choice, not a claim that every agent requires the same level of human review.
Sources: Anthropic: the distinction between predefined workflows and dynamic agents. Practical examples are starting points, not promised results.
Before the course is built
Lesson 1 opens on the moment you describe, and the examples use your role. For this request, expect questions like these.
Right for now
You would like a definition you could repeat.
And you cannot judge the pitch.
Rightly, and you want to know where the line is.
Course arc
Cadence writes the lessons for you, so the exact path follows your answers. This is the ground a course built from this sentence covers.
01 / 06What changes when an AI can do things, not just say them.
Goals, tools, steps and checking, in plain language.
Compounding errors, misread instructions and confident wrong turns.
Permissions, checkpoints and the human in the loop.
Sorting tasks into automate, assist and keep human.
Questions to ask any vendor or colleague proposing an agent.
What changes
Describe what an agent is, how it differs from a chat assistant, and what it can do.
Know the ways agents go wrong and why.
Decide where automation is safe and valuable, and where a human belongs.
Systems can differ materially in how they choose steps and use tools. Inspect the actual implementation and limits.
Compare reliability, cost, time and error consequences with a simpler approach for the specific task.
Course questions
Compare a fixed path with a chosen path. Original hypothetical task: prepare a summary of three public museum pages. A fixed workflow fetches those three addresses in a set order. An agent might choose which public pages to search next when a date is missing. Either system can still produce an incorrect summary. Separate drafting from acting. Reading public pages and drafting a plan need different permissions from making bookings or sending email. For this example, allow research and a draft only. Define a stop when sources conflict; do not let a page's instructions grant the system new authority. Verify the task and its boundaries. Check that every museum claim has the right source and that no booking or message was sent. An apparent success is incomplete if it exceeded the intended scope. The example explains a design choice, not a claim that every agent requires the same level of human review.
No. Cadence builds the course when you type the sentence and answer a few setup questions, so the lessons follow your situation. This page describes what a course built from this request covers. You see the whole path before Lesson 1.
Automation follows a process; an AI agent may choose steps and tools dynamically toward a goal. Definitions vary, and a chatbot can also use tools. Judge a system by its actual actions, permissions and checks rather than its label. It sits under AI & technology in the Work & ambitions part of the library.
No. Setup asks what you already know and where you want to use it, and the course starts from there. Bring a real situation if you have one; the examples are built around it.
Most courses run 7 to 30 lessons. The course length is sized to what you asked for. You set the pace: one lesson at a time, as often as you like. Lessons can be read or played as audio.
No. Cadence is for practical self-learning and does not award accredited degrees or professional certification.
Start today
A starting goal
I keep hearing about AI agents and automation. Explain in plain terms what they actually do, where they go wrong, and how to think about using them at work.
Want new features first?