Start from zero: what an AI model is actually doing when it writes, where it saves you real time today, and the four-part framework that turns a vague request into a draft you can send.
Tuesday 1 September 2026 09:00 – 13:00 CODED Campus, Kuwait
Day brief
Most people's first experience with AI is disappointing, and the reason is almost always the prompt. Today we fix that. You'll see plainly what a large language model is and is not, run your first prompts in the room, then learn CTFT — Context, Task, Format, Tone — and use it to draft a real professional document, edit it into shape, and pull a summary out of a long report. Every exercise is on public, non-confidential material, so everything you practise here you can use at your desk tomorrow.
Run of show
A guide, not a script — timings flex to the room.
1
Session 1 — What AI is, and why it matters at work09:00
Software that reads, writes and reasons — what an LLM actually does under the hood, and where writing, research and problem-solving get faster today.
2
Session 2 — Your first prompts09:40
Everyone writes prompts live, then we compare them. What separates a prompt that works from one that doesn't: specificity, a clear purpose, real detail, and a stated tone. Lab L1.1 — first contact.
Break10:20
3
Session 3 — The CTFT framework10:35
Context, Task, Format, Tone. Each element on its own, then all four together — with side-by-side poor and excellent prompts. Lab L1.2 — build a CTFT prompt on a stand-in document.
4
Session 4 — Writing & communication with AI11:30
The three moves — draft, rewrite, summarize — then email end to end, and what changes when you connect Claude straight to your inbox. Labs L1.3 & L1.4 — draft a document, then rewrite it without starting over.
Break12:10
5
Session 5 — Review, research & summaries12:20
Editing AI output for accuracy, tone and structure — what to always verify. Labs L1.5 & L1.6 — tame an email thread, then summarise the quarterly report and catch its planted faults. Debrief and close.