Understand where to get AI, which tool to choose first, and when to move from chat to agent workflows.
Estimated time: 18 minutes
Why this matters
Most beginners fail because they start with random trial-and-error chats and no structure. This lesson gives you a clear foundation.
Success checkpoint
You have one chosen AI tool and one repeatable mini-agent loop ready for a real task.
Workflow steps
Guided workflow
Do the work, not prompt collecting
Complete one focused step at a time. Each step is tied to a real outcome and unlocks the next.
0% complete
Workflow step 1 of 3
Pick your starter AI tool in under 5 minutes
Outcome: Choose one assistant and set it up today without tool paralysis.
When to use: Use this when you are unsure whether to start with ChatGPT, Gemini, or Claude.
Tool format
Tailored instruction
Do this now
Fill in your role, primary task, and one constraint.
Run the generated instruction in your selected AI tool.
Choose one tool and create your account now.
Expected output
A single, justified recommendation plus a concrete setup action.
If it fails, try this
Ask for a shorter answer: max 6 bullet points.
Request comparison only for your top 2 priorities.
Add a non-negotiable constraint like budget or data sensitivity.
Success signal
You have one active AI account and know why you picked it.
Next you will map the practical line between chat usage and agent usage.
Compare ChatGPT, Gemini, and Claude for this user profile:
Role/context: {{work_role}}
First task to improve: {{primary_task}}
Constraint: {{constraint}}
Return:
1) One recommended starting tool
2) Why it fits
3) One setup step to do immediately
Workflow step 2 of 3
Decide when chat is enough vs when you need an agent loop
Outcome: Create a simple decision rule for your own weekly tasks.
When to use: Use this whenever you are unsure if a task should stay chat-based or become repeatable.
Tool format
Tailored instruction
Do this now
Provide one recurring task and its frequency.
Generate a chat-vs-agent decision table for that task.
Write your one-line rule: when to stay in chat, when to use a workflow.
Expected output
A practical decision rule you can apply without guessing.
If it fails, try this
Ask for concrete examples from your own task.
Ask it to avoid technical jargon.
Ask for output as a 2-column table.
Success signal
You can explain chat vs agent in one minute using your own example.
You are ready to build your first repeatable mini-agent loop.
Explain whether this task should be handled as chat-only or as an agent workflow:
Task: {{recurring_task}}
Frequency: {{task_frequency}}
Risk if low quality: {{risk_level}}
Return:
- one-line chat use case
- one-line agent use case
- clear decision rule in plain language
Workflow step 3 of 3
Build and save your first weekly mini-agent loop
Outcome: Turn one recurring task into a reusable operating routine.
When to use: Use this after you picked a tool and identified one repeating work task.
Tool format
Tailored instruction
Do this now
Enter your task, trigger, and required output.
Generate a mini-agent loop with checklist and review step.
Save it as a reusable template named Weekly Agent Loop v1.
Expected output
A complete, reusable loop you can run each week in under 20 minutes.
If it fails, try this
Ask for fewer steps and simpler language.
Request a one-page version with numbered checklist only.
Ask for a version optimized for mobile usage.
Success signal
You have a saved loop template and a date for first execution.
Great base set. Next lesson turns this into a concrete everyday work win.
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