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Tomasz Guściora
Claude Code Trainer & Hands-on Practitioner
13 years in the industry - most of it in data science. 750+ hours in Claude Code, since back when something broke every week (and I mean every week). Production AI/ML I've shipped: fraud detection, customer segmentation, proposal generators, startup prototypes. I'm not a trainer-of-trainers. I teach what I actually do at the keyboard every day.
I understand LLM architecture not from articles - from banging my head against it during real implementations. That's why I can explain to your seniors why Claude Code occasionally "hallucinates" and, more importantly, how to write code that keeps that risk on a leash.
Substack DemystifAI - three years of poking at large language models: token economics, agents, AI in the code-generation loop. GitHub claude_code_common_base - my own Claude Code template, with hooks, subagents, MCPs. Audit the code before you book the call. Seriously.
Build-in-public on Substack and LinkedIn - I show what works, what doesn't, where I burn money on API, where I win. Same deal in 1:1 mentoring: no marketing slides, just your actual problem and 13 years of context I can pour into it.
Read my Substack → Manifesto
Why I do this - and how I work
Mission, goals, values, teaching methods, and good practices - short, specific, no fluff.
Mission
I demystify technology - hence the name DemystifAI. I want you to understand AI tools from the fundamentals up, not just click through tutorials. That's when you can build solutions that genuinely improve your life and the lives around you.
Goals
- Lasting skill growth - not three weeks of post-training enthusiasm
- Real-world scenarios, not made-up examples
- Participant satisfaction I measure (NPS 62.5), not assume
Values
- Reliable materials - everything tested first-hand
- Effective learning over slide-checking
- Professionalism without the stiffness
- Respect for your time and your level
Teaching methods
- Hands-on exercises on real code
- Case studies from my own implementations
- Pace and scope adapted to the group
- Consultations after sessions
- 1:1 feedback - specific, not polite noise
Good practices
I only teach what I've verified myself working with AI-SDLC tools. At the start we agree exactly what you should be able to do by the end. The work is individual - I'm here to support you.