VR & AI Seminars

AI tools are
moving fast.
Keep pace.

macapp runs structured online seminars on virtual reality and AI - built for people who want to understand these tools in depth, not just skim the surface. From ChatGPT Plus to GitHub Copilot, each session goes where the documentation doesn't.

Virtual reality and AI seminar environment
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Where most people get stuck

The gap between knowing a tool exists and using it well

Most people have heard of Perplexity Pro or Claude Pro. Fewer know when to reach for one over the other, or how to get consistent results across a 3-hour working session. That practical layer - the part that takes weeks to figure out alone - is exactly what these seminars address.

The same pattern shows up with developer tools. Codeium and Tabnine both offer AI completions, but they behave differently under real project conditions. Sourcegraph Cody handles codebase-wide context in a way that changes how you navigate large repositories - but only once you understand its model.

Seminars run 4–6 hours, structured around specific tool categories
Sessions include live discussion, not just slides and recordings
Open to participants across 30+ countries, all sessions in English
Participant working through AI tool comparison during seminar

What a typical seminar covers

Each session focuses on a defined tool cluster. Below is a representative comparison across 3 current seminar tracks - the kind of detail that doesn't fit in a product page.

Tool Category Covered in seminar Hands-on session Peer discussion
ChatGPT Plus General AI assistant
Claude Pro Long-context reasoning
Gemini Advanced Multimodal AI
Perplexity Pro Research & search
Monica AI Browser assistant
Merlin AI Productivity layer
GitHub Copilot Code generation
Tabnine Code completion
Codeium Free-tier AI coding
Sourcegraph Cody Codebase context AI
ChatGPT Plus Claude Pro Perplexity Pro Gemini Advanced Monica AI Merlin AI GitHub Copilot Tabnine Codeium Sourcegraph Cody
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The approach

What makes the difference here

Since 2015, macapp has built its sessions around one principle: the gap between theory and practical use is where most learning happens. Sessions are kept small - under 18 participants - so that questions don't get lost in a crowd.

About macapp
Small groups, real questions

Sessions cap at 18 participants. That limit is deliberate - it keeps discussion specific rather than generic.

Tool comparison built in

Rather than isolating tools, sessions compare them side by side under shared conditions - same task, different results.

No prerequisites enforced

Participants range from developers to researchers to product managers. Sessions are structured so background differences don't become barriers.

Structured seminar session with VR and AI tools
Seminar facilitator at macapp

Oleander Vaszquez

Lead facilitator, AI track

When things get difficult

Support that's honest about its limits

Every participant has access to a shared post-session thread for 14 days after each seminar. Facilitators respond to follow-up questions there - not instantly, but within 48 hours on weekdays. It's not a help desk, but it covers the questions that surface once you start applying things.

Session recordings

All sessions are recorded and available for 60 days. If a section moved too fast, you can return to the exact moment rather than guessing from notes.

Peer cohort access

Participants from the same session can continue discussion in a shared workspace. Some of the most useful exchanges happen outside the scheduled hours.

Infographic reference library

Structured visual summaries for each tool category are available after the session. Useful for quick reference when you're mid-task and need to recall a comparison.