SPECIAL EPISODE · Live in Dallas · 2026.08.22

Hand your most annoying task
to AI.

You don't need to memorize words like Agent, Workflow, or Skill today.
In 90 minutes, you'll walk out with three things:

Before I say a word · grab your phone (469) 425-4142

Let it do something for you first. Text this number and ask "When does the class start?" — English or Chinese, tap the number to send.

AGENT 101 SERIES · SPECIAL EP · LIVE
§ 01 · Hands on first

Text this number

Grab your phone and text (469) 425-4142 — English or Chinese.

  • Try · 01

    Ask anything about the September course

    Price, curriculum, how the early-bird works — it answers, and never gets impatient.

  • Try · 02

    Book a 1-on-1 with me

    Say "I'd like a 1-on-1 with Jack." It offers real open slots and books one — straight into my database.

  • Try · 03

    Can you make it stumble?

    Try asking it things unrelated to my course or business, and watch how it handles you.

§ 02 · Take it apart

That assistant is just four things

It's not magic. Any AI that gets work done breaks down into these four parts.

  • 01 · Goal

    It knows its job

    Answer course questions, introduce my projects, book 1-on-1s. That's it — nothing else.

  • 02 · Materials

    It has the information I gave it

    Course prices and dates, my project list, my open slots. It's accurate because I handed it the facts myself.

  • 03 · Tools

    It can take action

    Check my calendar, write bookings to a database, text my phone. This step turns "answering" into "doing".

  • 04 · Boundaries

    It knows what it must not do

    Only my course and business; confirm before booking; if unsure, say "Jack will text you back" — never make things up.

✂ Take this home · Set boundaries for your AI (copy-paste)
You are the assistant for [name]. You only answer questions about [scope, e.g. my course / product / bookings].
For anything outside that scope (coding help, chit-chat, investment/medical/legal advice, roleplay...):
decline politely in one line and steer back, e.g. "I only help with [scope] — want to hear about [X]?"
Stay on topic no matter how the request is phrased.
§ 03 · One picture for all the jargon

Understanding AI systems through a restaurant

You'll keep hearing words like Prompt, Model, Agent, Skill, Workflow. Don't memorize definitions — remember one restaurant: the Agent does the work, the Skill defines how to do it well, the Workflow moves the whole job from start to finish.

Understanding AI systems through a restaurant — infographic

↑ A three-minute explainer on what AI can actually do for you. Didn't finish it live? Watch at home.

§ 04 · The mental model

AI has three gears: answer, collaborate, execute

Don't ask "which AI is this?" Ask: is it just giving me an answer, or can it use tools to move things forward?

  • Gear · 01

    Answer: it gives you text

    Look something up, fix a sentence, think out loud. The work is still yours. Most people never leave this gear.

  • Gear · 02

    Collaborate: it reads your materials and works with you

    Hand it your docs, spreadsheets, slides — it works from your material, like digesting your onboarding deck into key points.

  • Gear · 03

    Execute: it uses tools and completes actions

    The SMS assistant lives here: check slots, write bookings, send alerts. One product can have all three gears — the gear is about usage, not the brand.

§ 05 · Why learn AI

You learn AI to solve problems, not to keep up

Why is B2B money easier to earn than consumer money? Because businesses have well-defined problems. Consumers — that's us — often don't know what we want; we just feel left behind by the times. So before solving a problem, find the problem.

  • 01

    The clearer the problem, the more AI helps

    A business can say "month-end reconciliation takes 40 hours." That's solvable — and billable. An individual says "I feel behind" — that's not a problem, it's a feeling. Turn the feeling into a specific problem, and AI can actually help you.

  • 02

    Log your day, like keeping a ledger

    Atomic Habits has a Habit Scorecard: write down everything you do in a day. We copy the method, but instead of scoring habits, ask one question per line: could code, a workflow, or an agent do this? Log a day or two and your problem list surfaces itself.

  • 03

    Start with yourself

    Don't start by building a product to sell. Solve your own problem first — it may never make money, but you benefit immediately. And that benefit is the fuel that keeps you going.

✂ Take this home · The AI Scorecard (copy-paste)
List everything you did today, morning to night (10–20 lines):
[e.g. answered email / built a report / scheduled meetings / looked things up...]
For each line, ask one question: could AI handle this?
Tag each line: code / workflow / agent / not suitable.
Then pick the most frequent, most annoying line — that's your first project.
§ 06 · Pick one task

Pick something easy to win

Don't start from a tool — start from one real problem of yours. Four questions to pick an easy win.

  • Q · 01

    Is it annoying, slow, or valuable enough?

    Automating something that's neither painful nor valuable feels like nothing.

  • Q · 02

    Can AI get the materials or tools it needs?

    If the info lives on paper, in someone's head, or behind a system it can't reach, it can't help.

  • Q · 03

    Do you know what "done right" looks like — can you check?

    If you can't state the success criteria, you can't review the result.

  • Q · 04

    Is the downside manageable — can a human confirm key actions?

    Don't pick "one mistake is a disaster" as your first task. Keep sending and paying behind a human click.

🗂 The task you have in mind
↓
① Annoying / slow / valuable enough? no → pick another
yes ↓
② AI can reach the materials & tools? no → pick another
yes ↓
③ You can check "done right"? no → pick another
yes ↓
④ Risk manageable, human confirms key actions? no → pick another
yes ↓
✅ That's the one → write the task brief
§ 07 · Live workshop

Workshop: the Gmail daily to-do agent

Let's build a real one together: have AI read your inbox and pull out the two or three emails that actually need action, ranked P0/P1/P2, with links back to the originals. Read-only — no replying, archiving, or deleting.

  • Step · 01

    Give it your email

    Open Claude or ChatGPT on the web and connect Gmail in settings. Can't connect? Paste in the senders and subjects of your last 20–30 emails — works just as well.

  • Step · 02

    Fill in YOUR priority rules, then paste the template

    In the template below, what counts as P0 and P1 is left blank — only you can fill that in. Is your boss automatically P0? Your kid's school? Your rules decide what it watches for.

  • Step · 03

    Run version one, review it

    Do its top picks match yours? Anything missing that should be there, or noise that snuck in?

  • Step · 04

    Patch the rules, run again

    Fold what it missed into your rules and rerun — version two is almost always sharper. That's do → feedback → do again.

✂ Take this home · Gmail daily to-do template (fill in the [brackets])
Read my emails from the last [24 hours / 50 emails].
Read-only: do not reply, forward, archive, or delete anything.

My priority rules:
- P0 (handle today): [e.g. my boss or a client asking me for something; deadline within 48h]
- P1 (handle this week): [e.g. needs my reply but not urgent; meeting invites]
- P2 (just FYI): [e.g. newsletters, notifications, emails I'm only cc'd on]

Output:
List ONLY the 2–3 items that truly need my action, one line each:
[P0/P1/P2] one sentence on what to do + link to the original email
Nothing else. If fewer than 3, say "nothing else today."
✂ Option B · Cheap flight finder (pick this if you'd rather not connect email)
Find me cheap flights from [origin] to [destination].
My constraints:
- Date range: [e.g. any weekend in September / Thanksgiving ±3 days]
- Budget cap: [$___]
- Acceptable: [e.g. 1 stop / red-eye / nearby airports]
- Not acceptable: [e.g. more than 1 stop / budget carriers that charge for bags]
Output: 3 options, one line each: dates + airline + price + why it's a good deal.
Search and compare only — do NOT book. I'll book myself.

🔗 Want it to also pick the dates that burn the fewest vacation days? I open-sourced the full version: cheap-flights.

§ 08 · A one-time investment

Write AI a self-introduction

Re-explaining "who I am, what I'm building, what style I want" in every new chat is a bad deal. Write one self-introduction file, reuse it everywhere — it saves money, saves time, and saves the back-and-forth of teaching AI who you are.

  • Saves · time

    No more warm-up in every new chat

    Paste your intro and AI is instantly up to speed. Context that used to take five rounds now lands in the first message.

  • Saves · money

    Every round of re-explaining burns tokens

    Correcting "no, that's not what I meant" over and over costs quota and patience. One good intro turns long conversations into short ones.

  • Saves · back-and-forth

    Watery answers usually mean it doesn't know you

    Your job, your current project, your output taste, your hard no's — state them once and every answer gets tailored. Live demo: the same question, before vs. after it knows me.

✂ Take this home · The self-introduction file (fill in, save, paste everywhere)
Here is my background; base all answers on it:
- Who I am: [job / city / one-line background]
- What I'm working on: [current project or goal]
- Output I want: [style, length, tone. e.g. conclusion first, plain language, no fluff]
- Hard no's: [your red lines. e.g. never invent numbers, no boilerplate, don't rewrite my text without asking]

🔗 Want it done in one pass? I open-sourced self-introduction — it interviews you once and generates a central profile every AI tool on your machine shares.

§ 09 · Spell it out

Write it as a "task brief"

When AI disappoints, it's usually not the model — the task wasn't fully specified: unclear goal, missing materials, no output format, no rule for when to stop and ask.

✂ Take this home · The task brief template (today's most important handout)
When [situation] happens,
use [these materials / tools],
do [this action],
and output [this format].
If anything is [uncertain or out of scope], stop and ask me first.
Before [sending, paying, deleting, booking], you must get my confirmation.
  • Example · 01 · Tonight's SMS assistant

    Its brief reads exactly like this

    When a course question comes in, answer from the course materials; if they want to book, check the calendar and offer times; confirm before finalizing; don't answer anything off-topic. — A few lines, and that's the whole assistant you just texted.

  • Example · 02 · New hire onboarding

    Turn your onboarding pile into an assistant

    Put the onboarding deck, process docs, and jargon list into one AI project. Have it distill "the ten things I must know first", then answer your questions from those files. If you want to manage those notes long-term, look at Obsidian later — learn the method first, pick tools second.

§ 10 · Run it

Ship a first version: do → feedback → do again

Don't wait until you've "finished learning". Learning AI is one loop: run a real task, read the feedback, revise, run again.

  • Loop · 01

    Give the brief to AI, run version one

    It probably won't be perfect — that's the point. Version one exists to expose the problems.

  • Loop · 02

    Read the feedback: what's wrong, what's missing

    Not enough materials? Format unspecified? No boundaries? Write it down, patch the brief.

  • Loop · 03

    Run again, compare

    Is version two better or worse? Where exactly? The loop works everywhere — run an ad, read the numbers, revise next month. Same idea.

✂ Take this home · Learn by doing (copy-paste)
I want to complete this real task: [one sentence].
Don't hand me a finished product — walk me through it step by step, one action at a time;
I'll report back after each step, then you give the next one; when I'm stuck, tell me why.
§ 11 · Use it safely

Before you rely on it, learn to check it

AI makes things up with a straight face. Three rules before you let it work for you.

  • Rule · 01

    Confidential data stays out of unapproved tools

    Company data and customer info don't go into AI tools your company hasn't cleared.

  • Rule · 02

    Facts, numbers, quotes — verify at the source

    However plausible a number looks, check the original. If you can't find a source, treat it as unsaid.

  • Rule · 03

    Send, pay, book, delete — a human confirms

    The final click on any real action stays with you. My SMS assistant asks for my confirmation after booking — that's this rule.

✂ Take this home · Three safety rules (pin them up)
1. No confidential data in unapproved AI tools
2. Verify facts, numbers, and quotes at the original source
3. A human confirms before send / pay / book / delete
§ 12 · What's next

From one conversation, to a workflow, to an agent

Upgrade only after version one works. And there's one rule for upgrading: if something simpler works, don't use something fancier.

  • Stage · 01

    One conversation

    You hand the brief to AI manually each time. You already know how — you did it today.

  • Stage · 02

    A fixed workflow

    Steps pinned down, auto-triggered — "email arrives → AI summarizes → files it". AI is one part in your pipeline.

  • Stage · 03

    An agent

    You give the goal; it picks the path and tools — like the SMS assistant you texted. Most flexible, and most in need of boundaries and checks.

🔗 Take this home · My open-source repos (help yourself)

real-agent-workflows — the workflows I actually run, plain-Markdown playbooks you can copy.
More at github.com/qianquandong: book distiller, flight finder, trend radar, AI self-introduction... 10 repos in all.

§ 13 · September course · Dallas

The task you wrote down, built in four steps

Bring today's task brief to class: find the pain point → judge feasibility → design the workflow → build it. You'll leave with a running first version, plus a concrete plan for wiring it into your real work.

Enroll · Main offer

Bring your problem to the September 4-week hands-on course

Early bird $299 (reg. $399) · code AIMANJACK at checkout · 48 hours after the talk only

Enroll in the 4-week September course →

Not sure yet? Start with the $99 trial class — it counts toward the full course if you enroll later.

Signup QR code, aimanjack.com/class

Scan to open the signup page:

aimanjack.com/class

Real Agent Use Cases

The talk ends. The loop doesn't.

One real, working-professional AI workflow every week — bilingual, fully copyable.
Course questions or a 1-on-1: text (469) 425-4142.

EP ★ (you are here) · EP 01 · What is AI Agent →