LANG HORIZON / PROJECT NOTES
EvidenceLoop
Connect tasks, evaluators, model outputs and failure records in one evidence chain to practice reproducible evaluation and training workflows.
Who it serves
Engineering and research teams focused on AI evaluation, development quality and continuous improvement.
The opportunity
Base development decisions on results that can be checked.
What the work covers
- Oracle checks and evaluation on frozen tasks
- Small-model evaluation and failure classification
- Training and inference smoke runs: check that the workflow executes
A CONSIDERED NEXT STEP
Start with a concrete problem
Evaluation engineering practice, open to discussion of task design and acceptance. There is no public demo or product purchase flow.