Practical AI Workshop for Teams
Practical AI team workshop
A practical, hands-on AI workshop built on your team's actual work, not a generic deck. Most teams use a sliver of the AI tools they already pay for, slowly, and they don't trust the output. Your people leave…
Experience Photo
Workshop
Description
A practical, hands-on AI workshop built on your team's actual work, not a generic deck. Most teams use a sliver of the AI tools they already pay for, slowly, and they don't trust the output. Your people leave using AI with real confidence and good judgment the same week.
I design every session around a short survey of your team first, so the day lands on their real tasks and real worries. This survey-first method has now worked in two opposite worlds: a national Hindi-language newspaper in India, where I trained the full digital, editorial, video and social team (73 staff surveyed, session opened by their executive director and chief editor), and GIZ Türkiye, a federally funded German development agency, where the lead of their internal AI working group is co-designing the same survey-first workshop with me.
How I build it
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Discovery call. I learn how your team uses AI now, where they are stuck, and what good looks like for you. Market research, not a pitch.
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A tailored AI-readiness survey. Eight to ten questions to your team, mapping their real tasks, tools, confidence and fears.
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Design. I build the workshop around your use cases and constraints. No generic slides.
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Deliver. A hands-on session where people work on their own tasks, with a thread on attention and responsible use running through it.
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Optional phase two. An internal AI guideline, a rollout, or train-the-trainer. A separate, named step for when you are ready.
What we actually do in the room
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The five-part prompt formula: role, task, audience, context, format. The backbone of everything else.
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Bad prompt versus good prompt, run live on your team's own work so they recognise it.
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Using AI as an editor rather than an author: a scoring pass for clarity and structure, then a fix pass, on work a human already drafted.
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A fact-checking layer with a second tool, so nobody publishes something a model made up.
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Persistent context, so people stop re-explaining themselves to a blank box every time.
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Reverse prompting, where the model interviews you first for a far more specific result.
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Responsible use and culture: naming the fears, the data and security limits, and how to build the permission and trust that make adoption stick.
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The through-line: you stay the decision-maker, and never outsource your reasoning.
Benefits
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Real capability on real tasks. People leave able to use AI well on the work they actually do, not on a toy example, and they can do it the same week.
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Hours back every week. Better prompts and saved context shave time off hundreds of small tasks a month, so the team gets capacity without hiring.
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Confidence and adoption. I name the fears in the room and give people a safe hour to try AI on something that matters, because adoption is a confidence problem before it is a skills one.
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Fewer mistakes and safer use. A verification habit plus a clear grasp of data and privacy limits means far less risk of publishing something false or leaking something sensitive.
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Better judgment. People learn to spot generic, low-value AI output ("work slop") and to stay the ones doing the thinking.
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Team alignment. Everyone works from the same practices, and the optional phase-two guideline turns that into a shared internal standard.
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Engagement and retention. Real AI training reads as investment in people, which calms the quiet fear of being replaced and keeps good people around.
Additional Experience Info
This is a practical, hands-on workshop led by Magda Sokolovič. It can be delivered in-person (Berlin/Germany) or remotely for distributed teams. An optional second phase is available to help teams draft internal AI policies and guidelines.
Hosted by Magda Sokolovič
About the Host
Freelance Webflow developer, AI workshop facilitator, and Yin Yoga teacher based in Berlin, Germany.
Focuses on websites that convert and practical AI training that reduces 'workslop'.
Client Requirements
For AI workshops: a screen or projector with HDMI, reliable wifi, and each participant on their own laptop. For Yin and Sound sessions: a quiet room with floor space (around 20sqm for a small group), dimmable lighting if possible, and comfortable clothing. I bring mats and props, or the client can provide them.
Past Clients
Prabhat Khabar, GIZ Türkiye, Sophie Vo (ORIN), Sonal Chaudhari, Berlin Balance, Armplast, Swiss Society for Gender Health (SSGH), Anna Wright (Infuse Journeys), Esther de Bruijn, Dyane Neiman.
Focus Areas
Creative/CultureWell-being/HealthDevelopment/Coaching
Location
Languages
German, Russian
Travel Locations
Available on-site in Berlin and across Germany, and remote for distributed teams.
Corporate Experience
Significant
Session Types Offered
Interactive (eg. improv, group-art, yoga etc.)
Past Experience Doing Sessions
Yes - Interactive
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