Secure AI Development
Production Prompt Quality Review
A quality-focused bootcamp for teams shipping prompt systems into internal tools or customer-adjacent workflows.
₩11,200,000 · 3 weeks · Remote cohort
Program description
Participants define evaluation criteria, test prompt changes, and document release controls. The program helps teams treat prompts like production assets with ownership, review, and versioning.
Best fit: 6-12 people, intermediate level, focused on quality assurance.
Responsible lead
Daniel Han
Security Advisor specializing in developer workflows and software risk reviews.
Included features
- Prompt evaluation rubric
- Regression testing examples
- Release checklist for prompt changes
- Ownership model workshop
- Monitoring and feedback notes
Implementation outcomes
- A prompt release checklist
- A quality review rubric
- A practical ownership model
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 release checklist gave our prompt work a home in the engineering process.
Client in AI tooling
The evaluation rubric was specific enough for QA to contribute without becoming prompt specialists.
Nari Cho, QA Manager