Take my experience and put it to work at once
Four short courses on working with neural networks so that the result goes into your business, not into endless experiments. Each course is practice you can use the same day, with a ready tool at the end. They go in order: from one task in a chat to your own project with a team of AI agents. All four are free.
Tasks. Frame and Run course 1 · 24 slides, about an hour
What awaits you: how to set a task for a chat in four parts, check an answer as deeply as a mistake would cost, break a big task into steps and start a new chat in time.
What you get: workit, a file of ready working rules for any chat, and an archive of ten prompts.
Skills. Build and Use course 2 · 21 slides
What awaits you: how to take someone else's skill apart into five elements, build your own for a repeating task, run it on 3–5 tasks and reach the verdict "clean" with checkit and fixit.
What you get: the skill-starter skill, which takes you from a task to a finished skill, and the checkit and fixit pair.
Agents. Set Up and Lead course 3 · 22 slides
What awaits you: how to build a project on three levels in your own folder, give a worker a task from a template, accept the result by report and check, and move the work to a new chat without losing anything.
What you get: the project lead kit — six files: a roles card, a folder template, a task template, a report, a checklist and a hand-over prompt.
Projects. Launch and Grow course 4 · 23 slides
What awaits you: how to launch a small project by a strict order of work — a main document, a stage plan, a task with a clear criterion, a working cycle, an independent check and a safe release.
What you get: the project-protocol skill, which leads a project by that order step by step, starting with the starting documents.
Start with the first course — the rest follow in order. The courses are published under CC BY-NC-ND 4.0; you may use the tools from the courses in your own work, including inside your company. The details are on the licence page.