Prompt Engineering
Architecture Decision Copilot Workshop
A workshop for using AI to explore options, tradeoffs, and decision records with better discipline.
₩8,200,000 · 2 weeks · In-person Seoul intensive
Program description
Tech leads practice framing architecture questions, generating options, pressure-testing tradeoffs, and turning discussions into concise decision records. The workshop is strongest for teams with active platform or integration decisions.
Best fit: 5-14 people, advanced level, focused on architecture planning.
Responsible lead
Jae Ryu
Solutions Architect helping teams connect AI practices with real system design decisions.
Included features
- Decision framing canvas
- Tradeoff exploration prompts
- Assumption testing routines
- ADR drafting practice
- Stakeholder summary templates
Implementation outcomes
- A reusable ADR prompt system
- A tradeoff review checklist
- A sample decision record from current work
Questions teams ask
Can we use our own repository and workflow data?
Yes. Teams can bring sanitized examples, internal process notes, or non-sensitive pull requests. We do not require access to production systems.
What is not included?
The bootcamp does not replace security review, legal review, or procurement approval for a new AI vendor. It gives your team the working practices and rollout artifacts to support those decisions.
How much engineering time is expected?
Most teams reserve two half-days for live sessions and three to five hours for implementation labs between sessions.
Participant notes
The ADR lab was grounded in our own integration decision, not abstract examples.
Yuna, Digital transformation unit