Choose this when
You have repetitive operational work that crosses email, docs, spreadsheets, CRMs, support, or internal tools.
AI learning path
Learn when to automate work with AI, where agents help, and where plain workflows are safer.
You have repetitive operational work that crosses email, docs, spreadsheets, CRMs, support, or internal tools.
You can map a workflow into triggers, tools, approvals, logs, and fallback paths.
Move on when you can describe how the workflow fails and what happens next.
Do
Work through the material inside each step. Videos are embedded where they fit; tutorials and references sit next to the task they support.
Step 1
Write the trigger, inputs, decision points, tools, and human approval moments before choosing software.
Watch here
►
Start here before wiring tools into multi-step workflows.
Open here
You want a structured agent learning path with code.
Open resourceStep 2
Connect one low-risk tool and log every action so failures are visible.
Open here
You are moving past one-off calls and need application-owned orchestration, tools, approvals, and state.
Open resourceStep 3
Add review queues, retries, and explicit stop conditions before trusting it with users.
Open here
You want a hands-on agent course that uses open-source tools.
Open resourceYou want to build multi-step agent workflows with state.
Open resourceAutomate one internal task where the AI drafts or classifies, but a human approves the final action.
Reference
Step 1
You want a structured agent learning path with code.
Step 2
You are moving past one-off calls and need application-owned orchestration, tools, approvals, and state.
Step 3
You want a hands-on agent course that uses open-source tools.
Step 3
You want to build multi-step agent workflows with state.
Beginner to intermediate
Start with Craig's site and the 100 Days of AI videos on YouTube, then copy one workflow into your own business before looking for more tools.
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Beginner to intermediate
Choose one automation tutorial connected to a task you already repeat.
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Intermediate to advanced
Watch AI Engineer talks for production patterns and tool choices.
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Read the public notes and examples before deciding whether the paid material matches your business.
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Beginner to intermediate
Look for workflow breakdowns and implementation examples.
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Intermediate
Review the Maven syllabus and compare it to your current product workflow.
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