Autoresearch Skill Optimizerv2.0.0

Iteratively improve a skill for generating cold outreach emails. Use autoresearch to refine tone, personalization, and call-to-action effectiveness based on scoring against conversion criteria.

Apply the optimizer to a skill that produces research summaries. The loop scores for accuracy, depth, conciseness, and source attribution, making targeted edits to improve quality.

Optimize a blog post writing skill. Use binary scoring for structural elements (headline, intro, conclusion) and dimensional scoring for style factors like readability and persuasiveness.

Refine a skill that drafts customer support replies. Score for empathy, completeness, tone consistency, and regulatory compliance, and iteratively improve each dimension.

Optimize a meta-skill that drives a multi-step workflow (e.g., lead qualification pipeline). Score the clarity, efficiency, and adaptability of the process rather than text outputs.

Offer the optimizer as a tiered subscription where users pay monthly for a set number of optimization runs or for continuous monitoring and improvement of their custom skills.

Sell to enterprises with many internal AI skills. Provide a dashboard and automated pipeline that audits and optimizes all skills company-wide, ensuring consistent quality and best-practice compliance.

Offer basic structural audit for free to attract users. Charge per optimization round or via credit packs for the full autoresearch loop, appealing to individual developers or small teams.