Method
Menova programmes follow one method: 70% hands-on and 30% theory, delivered verbally in Arabic with English slides, run on the client’s own data, with a demonstration every 90 minutes. The frameworks taught are POCAB (Persona, Objective, Context, Audience, Boundaries) for single prompts and GCSE-F (Goal, Context, Source, Expectations, Format) for work over documents and data — both designed by Ahmed Amrousy and both independent of any particular AI tool.
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Two tool-independent frameworks. The first structures a single prompt; the second structures work over documents and data.
Persona · Objective · Audience · Context · Boundaries
Structures a single prompt so the model behaves like a named expert working to a defined brief.
Goal · Context · Source · Expectations · Format
Structures work over documents and data — the model must answer from a named source, not from memory.
Taught in the executive and strategy programmes, where the cost of a wrong answer is higher.
Demonstrated live on real data rather than in slides. Multiple tools on purpose, so a team can choose what fits its stack.
“I teach leaders how to think with AI — not how to use it.”
Tool training has a shelf life of about a quarter — interfaces change and features move. The ability to brief a model properly, ground it in a real source, and tell when the output is wrong does not expire. That is why the frameworks come first and the tools second.
POCAB stands for Persona, Objective, Context, Audience and Boundaries. It structures a single prompt so the model behaves like a named expert working to a defined brief. It is the right framework when the model is drawing on general knowledge rather than on your documents.
GCSE-F stands for Goal, Context, Source, Expectations and Format. It structures work over documents and data. The Source element is what makes it work — it forces the model to answer from named material and to report gaps rather than fill them from memory.
One test: is there a source the answer must come from? If yes, use GCSE-F. If no, use POCAB. Most prompting failures in a corporate setting are someone using POCAB when the task demanded GCSE-F.
Seventy per cent of every session is hands-on and thirty per cent is theory. Theory appears only where it changes a decision. Participants spend most of the time working on tasks from their own week, on their own documents, with output reviewed live.
It matches how most corporate teams in Egypt and the Gulf actually work. Participants ask real questions in the language they think in, while written material stays in the language of their systems and documents. There is no interpreter between the trainer and the room.
A deliberate demonstration, scheduled roughly every ninety minutes, in which a task that would normally take an afternoon is completed and verified in a few minutes — on the client’s own data, not a prepared example.
Claude (chat, Cowork and Fable 5), Microsoft Copilot, NotebookLM / Gemini Notebook, and ChatGPT. Multiple tools are demonstrated so a team can see which fits its existing stack before committing budget.
Every Menova programme is scoped to the client. Book a short call — or send the team size, seniority and objective — and you get a written proposal with agenda, duration and price within two working days.
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