Every Vantyx agent, whether for mentoring or live support, operates within a framework of published, peer-reviewed research. We don't invent best practices. We implement the ones that exist.
We read the original papers, not summaries. MENTOR.org EEP 5th edition, SAMHSA TIP-35, EEF toolkit entries. Direct. Unfiltered.
Documents are chunked, embedded via OpenAI, and stored in Pinecone. Each agent response is retrieved from this corpus, not hallucinated.
Research evolves. Our knowledge base is versioned. When MENTOR.org updates the EEP, we update the embeddings.
Session structure, goal-setting prompts, quality measurement across every mentoring agent.
Crisis safeguarding detection, wellness agent conversation prompts.
Youth agent knowledge base, resilience-building conversation strategies.
Impact reporting, outcome tracking, evidence for programme ROI.
Academic support agent type, evidence-backed questioning techniques.
Safeguarding boundaries, wellbeing agent limitations, language guidelines.
Agent session quality metrics, dosage recommendations, relationship quality measurement.
Research on AI support response time expectations shows users expect sub-2-second responses. CSAT score benchmarks for AI agents average 4.2/5 when knowledge bases are properly curated. Escalation rates below 15% indicate healthy agent coverage.
AI support agents MUST NOT provide medical advice, legal counsel, or financial recommendations. We implement hard-coded refusal logic for these categories. Our approach is aligned with EU AI Act Article 6 high-risk system requirements.
โWe believe the most dangerous AI agents are the ones with no guardrails. The second most dangerous are the ones with guardrails no one has read.โ
Every research source is listed. Every framework is cited. No black boxes.
When research updates, our embeddings update. You always get the latest evidence.
AI agents are tools, not replacements. Human support is one click away, always.
From research to real sessions, mentoring and support.
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