Resources and prompt library

Diploma resources, the free workshop, the tools directory, and a library of ready-made prompts.

Diploma outline

These are the sessions covered in the diploma, not files to download.

Lecture 1 · Prompt Engineering for Asset Intelligence: from a random question to a KPI report
Lecture 2 · Agentic Automation of the Maintenance Cycle: from fault report to work order to report
Lecture 3 · From sensor to decision: building an IoT layer for the fleet (Vibe Coding)
Lecture 4 · Build your operations room without a developer (Lovable + Supabase)
Lecture 5 · The assistant in your pocket: a Telegram bot for real-time fleet operations
Lecture 6 · The augmented manager: CAPEX decisions and contract negotiation with an AI assistant

Free resources

Open to everyone, no registration needed.

The free workshop · guide + slides
AI tools directory (206 tools)
Interactive directory · Free

Prompt library

Ready-made prompts organised by use.

Operations & Management

Turn a task into an operating plan

Act as an operations manager. Here is the task: [write the task]. Break it into steps, define the deliverables, the KPIs and the owner of each step, and lay out a timeline over [X] days in a clean table.
Data Analysis

Build an asset management dashboard

Act as an Asset Management Analyst. I have an asset list in this shape [paste the column]. Classify it, estimate OEE, identify the critical assets that need action, and rank them by priority.
Marketing & Content

Professional LinkedIn content

Write 5 LinkedIn posts in professional English about this topic: [the topic]. Each post opens with a strong hook in the first two lines, uses a readable format, and ends with a question to the audience.
Automation

Design an automation workflow

I want to automate this process: [describe the process]. Propose a workflow in n8n: the trigger, the nodes, the conditions and the outputs. Explain which tools connect to which.
Training & Education

Micro-course outline

Build a micro-course plan of 4 lectures about [the topic]. For each lecture: the objective, 5 key points, a practical exercise, and an assessment question. Audience: [describe the audience].
Data Analysis

Before/after analysis of a decision

I will give you a work decision: [the decision]. Analyse it in a before/after table covering the current state, the expected state, the risks, the cost, and the ROI over 90 days.