A workshop in practical AI automation.

Participants leave with a working pipeline that reads their newsletters, scores each one against a personal profile, and emails them a weekly digest of what actually matters. No code. Four hours.

1

Visual tools, not code

Make.com and the OpenAI API. Drag, connect, run.

2

A real working artifact

Participants keep their pipeline running after the session.

3

A transferable pattern

Filter → enrich → assemble. Reuse it for dozens of problems.

Three steps that show up everywhere.

Most useful AI workflows have the same shape. Once participants see it, they recognise it across every tool they touch.

1

Filter

Each item gets scored against a personal profile. The noise drops out automatically.

→

2

Enrich

Survivors get tagged with topic, urgency, deadlines, and practical flags.

→

3

Assemble

A single report groups, orders, and delivers what matters to the inbox.

Also for: CV filtering · news monitoring · social media curation · etc.

A real pipeline they leave with.

Built in Make.com with the OpenAI API. Seven modules, three AI calls, one digest email delivered weekly. Cost per run: a fraction of a cent.

Gmail
read

AI
filter

AI
classify

collect

AI
report

Gmail
send

Source

Relevance

Topics & tags

Aggregate

Compose

Deliver

7

Modules in the pipeline. No code involved.

~90s

End to end, for ~20 incoming newsletters.

<€0.01

OpenAI API cost per weekly run.

Built for people drowning in inbound.

Participants leave with

A working AI pipeline filtering their own inbox.
The filter → enrich → assemble pattern, ready to reuse.
Skill to build new automations for other problems.
Vocabulary for AI tools they can use with technical teams.

Who it's for

Professionals overwhelmed by newsletters, alerts, leads.
Curious about AI, not interested in learning to code.
L&D teams upskilling staff in practical automation.

Available formats

Half-day Public workshop · 4 hours · individuals welcome

Course Multi-session · 3 × 2 hours · practice between

About the instructor

AI engineer with 8+ years building production LLM and ML systems. Background in affective computing research. Independent work on AI tooling and a generative art practice. Based in Athens.