Forge Eval
A focused AI evaluation workspace for comparing outputs, structuring review, and making quality decisions easier to explain.
RoleProduct & delivery
ContextIndependent portfolio project
FocusEvaluation workflow, usability, decision support
StatusDeployed prototype
01 / Challenge
The problem to solve.
AI output quality is difficult to judge consistently when feedback is scattered across prompts, chats, and informal notes. The project needed a clearer way to compare responses and capture evaluation decisions without turning the process into a research tool.
02 / Approach
How the work was shaped.
- Defined a compact evaluation flow centred on prompts, candidate responses, scoring, and reviewer notes.
- Prioritised clarity and speed over feature volume, keeping the interface useful for repeated review sessions.
- Structured the product so evaluation criteria and decisions can be explained rather than hidden inside a single score.
03 / Delivery
Core delivery focus.
The work was structured around practical delivery stages rather than a single technical output.
Product framing and scopeEvaluation workflow designPrototype planning and iterationUsability reviewDeployment and demonstration
04 / Outcome
What changed.
A working, demonstrable evaluation product that turns an abstract AI-quality problem into a clear review workflow. It also provides a practical foundation for future experiments, scorecards, and team-based evaluation.