Prompt-Writing

We craft, test, and curate prompts and instruction templates for language and multimodal models to maximize reliability, reduce hallucination, and improve controllability. Our process includes automated evaluation and human-in-the-loop refinements.

Typical deliverables

• Annotated prompt libraries and instruction families.
• Evaluation suites and example inputs/outputs.
• Versioned templates and best-practices documentation.

Process

Iterative human evaluation, A/B testing across model sizes, and safety filtering are applied to ensure robust prompt behavior.