Systematic AI self-evaluation. Quality that compounds without human supervision.
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30-day money-back guaranteeYou don't know if your AI's output is good. It doesn't know either.
"Good enough" is subjective. Without explicit quality criteria, your AI has no target to optimize for. Every output is a guess.
First draft → your feedback → second draft → more feedback. This cycle never ends because the AI has no self-assessment mechanism.
When you need output fast, quality suffers. Without automated quality gates, low-quality outputs slip through when oversight relaxes.
Everything you need. Ready to use immediately.
Pre-built evaluation frameworks for writing, code, analysis, and research. Your AI grades its own output against professional standards.
Define quality thresholds. If a draft scores below your standard, the AI revises it automatically — without involving you.
Multi-stage checks that catch different failure modes: factual errors, logical gaps, style inconsistencies, completeness issues.
Generate multiple output variants. Score each one. Automatically select and combine the best elements from each.
Ready-made rubrics for marketing copy, technical documentation, customer emails, code reviews, and strategic analysis.
Monitor average scores over time. Identify which task types need more work. Quantify improvement objectively.
Three steps from zero to fully operational.
Choose a rubric template matching your task type. Customize the criteria to your standards. Takes 15 minutes.
Insert the self-evaluation checkpoint into your workflow. The agent now assesses every output before returning it.
Configure quality thresholds. Below the bar? AI revises automatically. Above the bar? It ships. You only see outputs that meet your standard.
“I set the quality threshold and walked away. Came back to 12 blog posts, all scored above 8/10 by the rubric. I published 10 of them with minor edits. My best content week ever.”
“My AI customer support agent now self-checks every response for tone, accuracy, and completeness before sending. Customer satisfaction is up 40% since we deployed this.”
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Was $97 — Launch pricing
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