Autooptimisev0.1.0

An AI-powered customer service skill can be automatically optimized to reduce verbosity, improve accuracy of responses, and ensure proper tool usage. The benchmark loop scores responses across four dimensions, identifies the weakest pattern (e.g., overly long replies), and proposes a targeted SKILL.md change to fix it.

A skill that extracts structured data from unstructured text can be fine-tuned using autooptimise. The loop tests extraction tasks, scores accuracy and formatting, and iteratively improves the skill's output format and parameter handling.

An internal knowledge base skill can be optimized to provide concise, accurate answers while using the correct internal tools. The benchmark run identifies issues like unnecessary tool calls or off-topic responses, and suggests changes to the SKILL.md.

A skill that generates financial reports can be improved to match expected formatting and include only relevant data. The autooptimise loop scores output quality and refines the skill's instructions for better conciseness and tool usage.

Offer autooptimise as an add-on feature for existing AI skill platforms, charging per optimization run or a monthly subscription for continuous improvement. Customers pay to keep their skills high-quality without manual tuning.

Provide a consulting service where experts use autooptimise to optimize client skills. Revenue comes from project fees or retainers for periodic skill audits and improvements.

License the autooptimise framework to companies that build internal AI agents, allowing them to integrate benchmark-driven optimization into their CI/CD pipeline. Revenue from per-seat or enterprise licenses.