AI at work: from the first request to your own agent

A chat answers. An agent gets it done

From a clear request to an agent that handles your routine work. You decide where it stops to wait for approval.

Try the first practice task and lesson as a guest. Before the next lesson, create a free account to keep learning with your saved work. The first steps take about 15 minutes.

AI supports a coffee studio; the final decision stays with a person
93lessons
65lessons with a trainer
13modules
29hours
StartStart anytime. Four questions help you choose a route.
LengthAbout 29 hours, at your own pace
FormatShort lessons, interactive exercises and saved results
LevelNo code is needed in any lesson
A completed course exercise

A fluent report still needs evidence

This example comes from the “Spot the fabrication” trainer in lesson 2.9, “Verify before you publish.” Sáng Coffee is a fictional teaching brand. The numbers and the planted error below are exercise data, not a client result, an industry benchmark or a live model test.

01 · Source

The supplied weekly export

Analytics, last 7 days, Facebook

  • Reach 12,400
  • Engagement 3.1%
  • Link clicks 212
  • Best post: Morning ritual reel (reach 5,900)
02 · Draft

A sentence the source cannot support

According to industry data, 68% of Vietnamese coffee buyers discover brands on Facebook.

The trainer deliberately adds this unsupported sentence. It sounds like research, but the supplied export contains no industry survey.

03 · Check

Trace each claim to its input

Reach 12,400, engagement 3.1% and the best post’s reach 5,900 are in the source. The 68% industry figure is absent. Mark that sentence as a made-up statistic and remove it; if the report needs an industry comparison, request a dated original source before adding one.

04 · Accepted revision

A report grounded in the export

Facebook reach was 12,400 in the last seven days. Engagement was 3.1%, and link clicks totaled 212. The morning ritual reel was the best post by reach, with 5,900. No industry-discovery figure was supplied.

This revision preserves the supported data and makes the missing evidence explicit. It does not turn reach or engagement into a claim about sales.

The first guest exercise is available before registration. In the course, you inspect the source, identify unsupported claims and explain the correction in your own words.

// WHOSE_ROUTINE_IS_THIS

Practice the work you want to delegate

01
Messages and customer requests

Sort email, messages and comments, then draft replies using the right facts and rules.

02
Content creation and publishing

Write a useful brief, check drafts and prepare content for your publishing calendar.

03
Product listings, inventory and orders

Keep product details, photos, inventory and delivery terms consistent across listings.

04
Documents, checks and rules

Compare contracts, invoices and records. Trace numbers to their source, flag differences and leave the decision to a person.

Still exploring? Start with the core lessons. You can add or change a practice track later without losing your progress.

// WHAT_IS_INSIDE

13 modules: from the first request to a team of agents

The exercises use Sáng Coffee, a fictional coffee business with a brand guide, a calendar, customer requests and business documents. The setting makes each task concrete. You can use the same method for your own business, channels and language.

00

Lift-off

9 lessons · 148 min

01

Anatomy of an agent

7 lessons · 120 min

02

Real agents in ChatGPT and Claude

9 lessons · 177 min

03

Build your own agent

9 lessons · 155 min

04—12

and 9 more modules

Explore the full curriculum below, lesson by lesson.

View the curriculum
// WHO_DOES_WHAT

What the agent does, and what stays yours

Highlighted steps belong to the agent. The rest stays with you. The course helps you draw that line before handing over the work.

Reads the source and the rulesagent
Writes the first draftsagentyou
Checks facts and numbersagentyou
Decides what reaches a customeryou
Says the work is finishedyou
// HOW_IT_RUNS

Learn a concept, then try it

Learn to give clear instructions, connect the right tools and decide when an AI agent needs your approval. Practice in a fictional business, then apply the method to your own tasks. 93 lessons and 65 lessons with a trainer, with no coding required.

A look inside the practice

A good draft still needs a check

Lesson 1.7

Your request

Schedule the launch post for the new drip bags for tonight. Use the brief called launch-post.

What a suitable image needs

  • Vertical format, 9:16
  • The whole product in frame
  • No added headline over the image

The agent reads the brief and checks the calendar before making drafts.

A shortened example from the course. Switch steps to see how checking changes the result.

Practice inside the course

Write instructions, inspect each action and check the result. 65 of the 93 lessons include a practice exercise. Recorded examples let you practice without connecting real accounts or paying for AI calls.

Check your work and request feedback

The exercises provide objective checks and prepared explanations. If you have a question, submit your work for teacher feedback. Your request and any replies stay together in Feedback; there is no guaranteed reply time.

// WHAT_YOU_WALK_OUT_WITH

Four things you keep

01

An agent you built

Design an agent for one of your own tasks, define its tools and approval points, then test the plan. Export the configuration and an optional code example.

02

A certificate with a code

Complete the required learning material to earn a certificate. A public verification code shows your name and course completion details.

03

Your own rules and tests

Keep your instructions, retry limits, test cases and design plan to use on your own tasks.

04

A one-page cheat sheet

Course terms, common agent failures, pipeline stages and safety rules in a printable reference.

// WHERE_THIS_SITS

From chat replies to useful workflows

Before
You write a request and fix the answer by hand

You write a request, read what comes back, and fix it yourself. Everything happens in one window and nothing happens without you.

You are here
Delegate the task and keep approval points

An AI agent reads the brief, uses the tools you allow and pauses at your approval points. You inspect its actions and change the instructions when needed.

After
A team of agents on one process

Assign separate research tasks to several agents, combine their results and compare the effort with one agent doing the whole job.

// WHO_WROTE_IT
Daniil Pustovalov

Written by someone who does this work

Daniil built the course around the tasks he works on: content, marketing, customer requests and AI workflows. You can inspect the examples, practice the decisions and keep a record of your work.

AccessFree, create your own
FeedbackPractice checks and feedback requests
LanguagesEnglish, Russian and Vietnamese
CertificateOnly when the required lessons are done
// THE_CURRICULUM

Every lesson, in the open

Explore each module to see the lessons and practice tasks before you sign up.

13 modules · 93 lessons · 65 lessons with a trainer
00Lift-off9 lessons · 148 min

  • 0.1Chat answers, agents actrequired10 min
  • 0.2Watch an agent work, one step at a timerequired17 min
  • 0.3Where agents already work in marketingrequired20 min
  • 0.4Should this be an agent?required12 min
  • 0.5Five lines instead of onerequired18 min
  • 0.6Show it, do not describe itrequired18 min
  • 0.7Ask for the calculation before the answerrequired18 min
  • 0.8Ask for rows, not paragraphsrequired17 min
  • 0.9Only from this documentrequired18 min
01Anatomy of an agent7 lessons · 120 min

  • 1.1Think, act, observe: the loop from the insiderequired17 min
  • 1.2Apps and actions: how an assistant uses toolsrequired17 min
  • 1.3An app is only as good as its description18 min
  • 1.4Working memory: what is on the desk right nowrequired17 min
  • 1.5Stopping: done, stuck, or askrequired17 min
  • 1.6Planning and subtasks: a five-post series18 min
  • 1.7When apps fail: errors, retries, dead endsrequired16 min
02Real agents in ChatGPT and Claude9 lessons · 177 min

  • 2.1The autonomy dial for content workrequired17 min
  • 2.2Brief the assistant: five lines that prevent guessesrequired17 min
  • 2.3Projects: the brand book on the desk before every chatrequired20 min
  • 2.4Code execution in chat: batch work with a plan first20 min
  • 2.5Playbooks: write the procedure once, use it every week21 min
  • 2.6Browser agents: research first, approval before action22 min
  • 2.7Connectors: one plug for Drive, Canva and the sheet21 min
  • 2.8Scheduled routines and the glue that delivers them21 min
  • 2.9Verify before you publish: four things the assistant will inventrequired18 min
03Build your own agent9 lessons · 155 min

  • 3.1Scope and boundaries: the Content Producer's jobrequired17 min
  • 3.2Instructions: voice, rules, facts, and when to stoprequired17 min
  • 3.3Instruction traps and conflicts: which rule wins17 min
  • 3.4Choose the apps: permissions, side effects, and safe retriesrequired17 min
  • 3.5Documents in, actions out17 min
  • 3.6The notebook: what the assistant remembers between sessions18 min
  • 3.7Approval points: nothing goes live without yourequired18 min
  • 3.8Assemble the Content Producerrequired17 min
  • 3.9For the curious: export and run it for real17 min
04Shooting and post-production5 lessons · 88 min

  • 4.1Before the shoot: brief to shot list18 min
  • 4.2After the shoot: cull and tag18 min
  • 4.3The cut: TikTok, Reels, Shopee20 min
  • 4.4Versions: subtitles, sizes, covers16 min
  • 4.5Livestream selling16 min
05Generation pipelines7 lessons · 127 min

  • 5.1Generation services are apps like any other18 min
  • 5.2The request you write is an input18 min
  • 5.3The Creative Director loop19 min
  • 5.4The asset library17 min
  • 5.5AI content rules: four gates before anything goes outrequired19 min
  • 5.6Effort and retries16 min
  • 5.7The pipeline: seven stages, one gaterequired20 min
06Marketing ops agents7 lessons · 124 min

  • 6.1The research agent: findings with sourcesrequired18 min
  • 6.2Copy at scale: one caption assistant, eight testsrequired18 min
  • 6.3Publishing and scheduling: the final step18 min
  • 6.4The community inbox: triage, tone, escalationrequired18 min
  • 6.5Creator outreach: shortlist, draft, and track replies17 min
  • 6.6Analytics and reporting: every number has a sourcerequired18 min
  • 6.7Experiments: two versions and an honest read17 min
07Teams and long campaigns5 lessons · 89 min

  • 7.1When one assistant is not enough18 min
  • 7.2Work in parallel, then combine the results17 min
  • 7.3Three ways a team goes wrong18 min
  • 7.4Long campaigns: summarize, hand off, and resume18 min
  • 7.5Compare a team with a solo assistant18 min
08Reliability, safety, effort8 lessons · 147 min

  • 8.1Seven common ways an assistant can failrequired18 min
  • 8.2Reading a replay like a detective20 min
  • 8.3Poisoned content: what the attack looks like16 min
  • 8.4Poisoned content: rules and permissions that limit the riskrequired20 min
  • 8.5Client data, secrets, brand safety, platform rulesrequired20 min
  • 8.6The test set for copy and creative18 min
  • 8.7Effort: what makes a run heavyrequired18 min
  • 8.8See what it did: the log, the limits, the stop button17 min
09Your agent3 lessons · 60 min

  • 9.1The design page: define the job before buildingrequired20 min
  • 9.2Build it, then break it on purposerequired22 min
  • 9.3Three reviews: automated checks, a teacher, and a peerrequired18 min
10Requests, meetings and agreements8 lessons · 163 min

  • 10.1Handle incoming requests without losing track18 min
  • 10.2Different messages, the same question20 min
  • 10.3Answer from the rules, and name the clause20 min
  • 10.4Two meeting requests, one available slot20 min
  • 10.5Ask for a delivery date you do not have20 min
  • 10.6Turn an unresolved request into a task18 min
  • 10.7One morning, end to end25 min
  • 10.8Your own week of requests22 min
11Product listings and catalogs8 lessons · 163 min

  • 11.1Product listings: facts first, copy second18 min
  • 11.2Every field has an owner20 min
  • 11.3Leave missing product data blank20 min
  • 11.4Two codes, almost one name20 min
  • 11.5The sentence you do not repeat20 min
  • 11.6Choose a photo of the actual product18 min
  • 11.7One shelf, end to end25 min
  • 11.8Apply the method to your own catalog22 min
12Checking business documents8 lessons · 161 min

  • 12.1Compare the right documents18 min
  • 12.2Which differences count20 min
  • 12.3Do not invent a missing document date18 min
  • 12.4Escalate a document you cannot approve20 min
  • 12.5Request a correction instead of changing the source20 min
  • 12.6Log each incoming document once18 min
  • 12.7One folder, end to end25 min
  • 12.8Apply the method to your own records22 min
// FOUR_QUESTIONS_THEN_YOUR_ROUTE

Four questions, then your route

Choose your tasks, goal, experience and chat app. See how many lessons are on your route, their estimated length and which modules you can skip with a knowledge check.

1 / 4

Which tasks take up most of your time?

Choose the work you want to practice. Your job title does not matter.

// HOW_TO_GET_IN

What an account gives you

The whole course
  • Every lesson and every trainer in the course
  • The cheat sheet and every word the course uses
  • Saved feedback requests, submitted work and replies
  • A certificate with a code anyone can check
  • English, Russian and Vietnamese, with a language switch
  • Works on a phone, and remembers where you stopped
Create an account
Every certificate carries a code anyone can check
// WHAT_PEOPLE_ASK

Common questions

Do I need to know how to program?

No coding is required. Optional technical views and code exports are available if you want to explore further. The glossary explains unfamiliar terms.

How long does it take?

About 29 hours of reading and practice, at your own pace. There are no scheduled classes.

What do I need to have?

A browser is enough for the recorded exercises. To try the optional tasks in ChatGPT, Claude or another service, use your own account; features and costs depend on that service.

Will the practicum fit my work?

The practicum covers content, online retail, messages and work processes. The studio case gives you concrete examples; you can apply the approach to your own work in any country.

What is the certificate?

It records completion of the required learning material. The public verification page shows your name, completion details and issue date. Practical results are recorded separately.

Can I open an account myself?

Try the first practice task and lesson as a guest. Before the next lesson, create a free account to keep learning with your saved work. The first steps take about 15 minutes.

I already ask a chat for text every day. Is there anything here for me?

Yes. Short knowledge checks can mark modules 0 and 1 as already known. Later lessons focus on tool use, approval points, reliable instructions and testing an agent’s work.

The first lesson is ten minutes, with nothing to prepare

By lesson 0.4 you are deciding which of your own tasks should be an agent at all, and which are faster to keep doing yourself.

Start without signing in