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21 days · one lesson each morning

Build AI agents that actually do the work

A 21-day email course for people with a business to run. Each morning you get one lesson, about ten minutes to read, ending in one thing to build or one decision to make. By day 21 you have working automations and a roadmap, not a folder of bookmarks.

One payment · 14-day money-back guarantee · No subscription

21Lessons, one a day
~10 minTo read each morning
3 weeksStart to finish
One paymentNo subscription
What this is

An email course, not another video library you never open

Most people who buy a course on AI never finish it. The format is the problem: three hours of video sitting behind a login you have to remember. So we took the format away.

Everything arrives where you already are. One email each morning, short enough to read with a coffee, specific enough that you can act on it before lunch. No platform, no login to lose, no progress bar to feel guilty about.

  • Written lessons you can read, search and forward — not a video you have to schedule time for
  • One worked example in every lesson, taken from a real business process
  • Tool-agnostic: the thinking works whether you build with code or with a no-code platform
  • Lifetime access to the archive, so lesson 9 is still there when you finally need it
Inbox — 07:00
FA
Fyntic AIsupport@fynticai.com
Day 09 / 21
Tools and actions: letting an agent do things, not just talk

Yesterday your agent could read. Today it gets hands.

A tool is nothing more than a function you describe in plain language and hand to the model: look up an order, create a ticket, send a refund request for approval. The model decides when to reach for it.

The mistake almost everyone makes on their first try is giving the agent twelve tools at once…

Today's build: 20 minutes
What you walk away with

Six things you will be able to do on day 22

Not topics covered. Things you can do, because you did them during the three weeks.

01

Decide what is worth automating

Most automation projects fail before a line is written, because the wrong process was chosen. You get a method for ranking your own workflows by effort, risk and payback.

02

Build an agent that survives contact with reality

Trigger, context, tools, output. You build the same four parts every time, then test them the way a sceptic would, against the inputs that break things.

03

Connect it to the systems you already pay for

Spreadsheets, CRM, helpdesk, inbox. The course covers the integration patterns that hold up, and the ones that quietly corrupt your data.

04

Keep it from becoming a liability

Guardrails, approval steps, audit trails and what GDPR actually requires once an agent starts reading customer records.

05

Know what it costs before the invoice arrives

Model choice, token spend and the arithmetic of running an agent at volume, so nobody is surprised at the end of the month.

06

Leave with a plan somebody will approve

The last lesson is a 90-day roadmap you write yourself, in the language a manager or a client needs to hear.

How it works

Four steps, and then it runs on its own

Step 01

You pay once

Pick a plan, pay with card through Stripe. No subscription, no upsell sequence, no recurring charge to cancel later.

Step 02

You confirm your email

We send a short confirmation so the lessons land in the right inbox and nothing goes to spam.

Step 03

Lesson one arrives

The first lesson is sent right away. After that, one lesson every morning for 21 days.

Step 04

The archive stays yours

Every lesson is also kept in an online archive you can open any time, for as long as the course exists.

The curriculum

Twenty-one mornings, in order

Each week ends with something finished. Nothing is held back for an upsell at the end.

Week 01

Foundations and your first working agent

By Friday you have one agent doing a real task you used to do by hand.

  • Day 01What an AI agent actually is, and what it is not
  • Day 02Mapping your week: finding the three tasks worth automating first
  • Day 03The anatomy of an agent: trigger, context, tools, output
  • Day 04Choosing your stack: no-code platforms versus writing code
  • Day 05Writing instructions a model can actually follow
  • Day 06Build day: an inbox triage agent, start to finish
  • Day 07Testing it like a sceptic: edge cases, failure logs, and when to stop
Week 02

Connecting agents to the business

Your agent stops being a clever demo and starts touching real systems and real data.

  • Day 08Giving an agent memory: documents, retrieval, and why it hallucinates
  • Day 09Tools and actions: letting an agent do things, not just talk
  • Day 10Connecting to what you already use: spreadsheets, CRM, helpdesk
  • Day 11Support agent, part one: knowledge, tone, and the answers it must get right
  • Day 12Support agent, part two: escalation and clean handover to a human
  • Day 13Guardrails: the list of things your agent must never do
  • Day 14Cost control: model choice, token spend, and the bill at month end
Week 03

Running it in production

Monitoring, compliance, measurement, and a roadmap you can take to a decision maker.

  • Day 15Deployment: from a browser tab you keep open to a system that runs itself
  • Day 16Monitoring: catching a silent failure before your customer does
  • Day 17Human in the loop: approvals, review queues, and audit trails
  • Day 18Data protection: what changes when an agent reads customer records
  • Day 19Measuring return: hours saved, response time, resolution rate
  • Day 20From one agent to several: handoffs, ownership, and naming conventions
  • Day 21Your 90-day automation roadmap, written and prioritised
Honest fit check

This is not for everybody

We would rather you skip it than buy it and ask for a refund on day three.

It fits if

  • You run or help run a small business and the admin is eating your week
  • You are an operations, support or marketing lead asked to “do something with AI”
  • You are a freelancer or agency owner who wants to sell automation as a service
  • You have tried ChatGPT, found it impressive, and could not turn it into a system

Give it a miss if

  • You want a finished agent handed to you without building anything yourself
  • You are looking for a get-rich-quick angle rather than a working skill
  • You are a machine learning engineer training your own models — this is below your level
  • You will not open an email for 21 days — the format only works if you read it
Pricing

Pay once. That is the whole arrangement.

No subscription, no renewal, no card charged again in twelve months. Pick the level of support material you want and the course is yours.

Starter
€37EUR
One payment · lifetime access

The full 21-day course, nothing else bolted on.

  • 21 daily lessons delivered by email
  • Lifetime access to the lesson archive
  • One worked example in every lesson
  • Email support within 2 business days
Most chosen
Professional
€67EUR
One payment · lifetime access

The course plus the working files you would otherwise build from scratch.

  • Everything in Starter
  • Agent prompt library, ready to adapt
  • Workflow blueprints for the 6 most common automations
  • Cost and time-saved calculator spreadsheet
  • End-of-week review exercises with answer notes
Complete
€127EUR
One payment · lifetime access

For the person who has to make this work across a whole team.

  • Everything in Professional
  • Three long-form build walkthroughs, start to finish
  • Automation audit template for mapping a full department
  • Guardrail and data-protection checklist pack
  • Content updates for 12 months from purchase

14-day money-back guarantee

If the course is not what you expected, write to support@fynticai.com within 14 days of purchase and we refund you in full, to the card you paid with. You do not have to justify yourself. This sits on top of your statutory rights as a consumer, which are set out in our Refund and Withdrawal Policy.

Secure payment by Stripe · Visa, Mastercard, American Express · Prices in euro, VAT included where applicable
Terms of sale · Refunds · How delivery works · Disclaimer

Questions

The things people ask before buying

Do I need to know how to code?

No. The course is built around the thinking, not a single programming language, and every lesson gives a no-code route alongside the code one. If you can write a clear instruction to a colleague, you can write one for an agent.

If you do write code, nothing here is dumbed down: the design patterns are the same ones you would use in production.

What exactly arrives, and when?

Lesson one is sent as soon as you confirm your email address. After that, one lesson lands each morning for the following twenty days, always at roughly the same time in your inbox. Every lesson is also stored in an online archive you can open at any time.

Is this a subscription?

No. You pay once, and that is the end of it. There is no renewal, no trial rolling into a charge, and no card kept on file for a future payment. If you ever see a second charge from us, it is a mistake and we will refund it.

Which AI tools does the course use?

The lessons are tool-agnostic on purpose, because the platforms change every few months and the reasoning does not. Examples are shown with widely available tools, and each lesson notes what to look for if you use a different one. You are never required to buy a specific subscription to follow along.

How much time does it take each day?

Around ten minutes to read. The optional build step at the end of most lessons takes fifteen to thirty minutes. If you skip a day, nothing is lost — the next lesson still arrives, and the archive waits for you.

Can I get a refund?

Yes. Write to us within 14 days of your purchase and we refund the full amount to your original payment method, no questions asked. Refunds are normally processed within 5 business days. Full detail is in the Refund and Withdrawal Policy.

Day one can be tomorrow morning

Twenty-one lessons, one payment, and a fourteen-day guarantee if it turns out not to be for you.