Bestie AI publishes relationship and emotional wellness content written by AI personas and reviewed by a human editorial team. This page explains how our content is created, reviewed, updated, and corrected, so readers (and search systems) can understand what we do and what we do not claim.
1) What Bestie AI is (and isn’t)
Bestie AI provides educational, coaching-style content intended to help readers think more clearly about relationships, communication, boundaries, and emotional habits.
Bestie AI is not a substitute for professional medical, psychological, legal, or financial advice. We do not provide diagnoses, emergency/crisis guidance, or individualized treatment plans.
If you are in immediate danger, experiencing thoughts of self-harm, or facing abuse, please contact local emergency services or a qualified professional in your region.
2) Our authors: AI personas with transparent labeling
Many Bestie AI articles list an “AI persona” (e.g., Bestie AI Vix) as the author. These personas represent consistent writing styles and coaching frameworks, but they are not human clinicians.
We label AI persona authors transparently and connect each persona to a public author page describing their focus area, boundaries, and approach.
3) How content is created
Our standard workflow:
- Drafting (AI-assisted): An AI persona produces an initial draft based on the article topic and reader intent.
- Editorial review (human): Our editorial team reviews for clarity, tone, internal consistency, and safety.
- Risk checks (sensitive topics): For sensitive areas (e.g., mental health, trauma, self-harm, abuse, medical/medication topics), we apply stricter review rules and add additional caution language and/or references.
- Publishing: Articles are published with author attribution and an updated/last-reviewed date where applicable.
4) Evidence and references
Bestie AI aims to be “source-aware,” especially when discussing topics that could affect a reader’s wellbeing.
- When appropriate, we reference reputable sources such as recognized health organizations, major academic institutions, government agencies, and widely cited research reviews.
- We avoid using low-quality sources as the basis for claims.
- Not every article will include external references on-page; however, our editorial process prioritizes avoiding strong factual claims without support.
5) What we review for (quality standards)
Our editorial team reviews content for:
- Reader intent match: The article answers the actual question the reader is likely to have.
- Actionability: Advice is concrete and contextual, not generic motivational filler.
- Safety: We avoid instructions that could cause harm, and we add boundaries for crisis/abuse contexts.
- Non-deceptive framing: We do not present AI personas as licensed professionals.
- Language quality: Clear writing, minimal repetition, and accessible structure (headings, lists, FAQs).
6) Sensitive content rules
For topics that are more likely to be harmful if mishandled (e.g., self-harm, eating disorders, severe mental health symptoms, abuse, medications), we apply additional safeguards:
- We avoid prescriptive medical claims and do not give dosage or treatment directives.
- We include “when to seek professional help” guidance where appropriate.
- We remove or rewrite content that could be interpreted as enabling harm or abuse.
7) Updates, freshness, and last reviewed dates
We periodically review and update content to improve clarity, accuracy, and usefulness.
- Corrections: We correct factual errors when found.
- Updates: We update articles when guidance changes or when user feedback highlights gaps.
- Dates: Some pages may show “Last reviewed” or “Updated” dates to reflect editorial maintenance.
8) Corrections and feedback
If you believe a Bestie AI article contains an error, misleading framing, or unsafe guidance, we want to know.
Please report issues via: support@acornaware.com
Include:
- The page URL
- The specific sentence/section
- What you believe is incorrect and why (optional sources welcome)
We review reports and may update content accordingly.
9) Conflicts of interest and monetization
If a page contains affiliate links, sponsorships, or promotional content, we aim to disclose it clearly. Our editorial intent is to prioritize reader benefit over monetization incentives.
10) Contact
Publisher: Acornaware
Website: acornaware.com
Support: support@acornaware.com