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Giving an AI a Job: The Workbook

Choose the first job to give an AI system, and make it safe enough to leave alone

Your team uses AI every day and nobody's workload has dropped. This workbook shows how to pick the first job worth giving an AI system, write it on one screen, and make it safe enough to leave alone.

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About

About

About the Course

Most people already use ChatGPT or Copilot every day, and their workload has not gone down. The reason is not the model. A chat window leaves you carrying data in and answers out; the hours only come back when a system is given a whole job, with access to where the job lives.

This workbook is the method, in four lessons:

1. Why your AI is not saving you time: answer, assist and act, and where the minutes actually go.

2. Giving an AI a job: the seven-heading job description, the four kinds of access, scoring your own jobs on four properties, and choosing your first candidate.

3. Making it safe enough to leave alone: timid by default, the never list, the review queue, "could not check", heartbeats and two tests.

4. What it costs and what breaks: honest running costs at small volume, what breaks in month three, and a one-page brief template.

Two exercises, each with a self-check list. Every example comes from systems the author builds and runs for paying clients and for his own company. It is not a certification and not a beginner class in what AI is.

The full asynchronous course, with recorded video modules, written reviews of your exercises and one small automation built on your own file, is at https://devaland.com/ai-workshop

Instructor

About the Instructor

Marius Andronie

Marius Andronie is the founder of Devaland, a small software company in Romania that builds AI systems businesses can actually leave running: assistants that answer calls and chats from a company's own data, document pipelines, integrations and AI agents. He also builds Deal OS, a due-diligence platform for people buying small companies, where every claim in the brief is cited to its source page or cut. His courses teach the method behind that work: choosing the first job worth giving an AI system, and making it safe enough to leave alone.

Before software, he was a Romanian Army officer engineer, a graduate of the Military Technical Academy in Bucharest, and then spent twenty years typesetting scientific and mathematical books for academic publishers. Both taught him the same habit: understand the system first, and never trust a number you cannot trace.

He lives near Deva, in Transylvania, in a home that runs close to off-grid on solar power, batteries and a heat pump, and he also writes short, practical workbooks for real problems: getting a household ready for outages, managing money on one income, budgeting by biblical principles, gratitude and CBT practice in later life, and grief after losing a pet.

About Devaland · All my books · About me

Material

Course Material

  • Why your AI is not saving you time

  • What this module is for

  • The honest starting point

  • You are still the transport layer

  • Where the minutes actually go

  • Time your own version

  • Three shapes of AI work

  • Why assist feels like the finish line

  • What changes when a system acts

  • The four systems you will see

  • A small story about the store assistant

  • What acting does not mean

  • The prompt is not the problem

  • Three objections I hear, and my answers

  • Where this leaves you

  • Before module two

  • Giving an AI a job

  • What this module is for

  • A job, not a question

  • The seven headings of a job description

  • What access actually means

  • Read and write are separate decisions

  • How the four examples get their access

  • When the data cannot be reached

  • The four properties of a good first job

  • The two questions the score does not ask

  • Rule or model?

  • Finding the job you did not name

  • A worked example

  • Where candidates usually hide, by team

  • Start in draft mode

  • Common scoring mistakes

  • Writing your job description

  • What to take into module three

  • Exercise

  • Making it safe enough to leave alone

  • What this module is for

  • The hundred silent decisions

  • Timid by design

  • Three answers, not two

  • What a good refusal looks like

  • Grounding: only say what you can point to

  • Verify against the source

  • Never raise an alarm from a vote

  • The never list

  • The human review queue

  • False alarms are a safety problem

  • Logging

  • Heartbeats: silence is not health

  • Tests: a known good and a known bad

  • Degrading safely when the source goes cold

  • Changing a system that is running

  • Earning more autonomy

  • What to take away

  • Exercise

  • What it costs and what breaks

  • What this module is for

  • Three kinds of cost

  • Running costs: the method

  • Measure, do not estimate

  • Costs that surprise people

  • What breaks in month three

  • How to notice upstream change early

  • Build, buy or leave it manual

  • When not to automate

  • The one-page brief

  • Where this leaves you

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