Evidence-led reporting on AI companion design, memory, emotional prompts, privacy controls and choices users can verify.
Companion apps cannot treat consent as decorative dialogue. Boundaries should shape generation, memory, image handling, persona design, blocking and complaint systems, especially when a service enables adult roleplay or user-supplied…
A visible delete button is only the beginning of an exit test. A trustworthy companion service should distinguish account closure, conversation deletion, generated-media removal, model-training objections, export and backup retention.
The most useful lesson from China’s companion-AI rules is that memory and emotional engagement are safety-critical product choices. A system that remembers intimate details needs equally prominent tools to inspect,…
A responsible companion interface should make its nonhuman status obvious at onboarding and keep that disclosure understandable during emotionally intense conversations. Transparency is a product behaviour, not a sentence buried…
A consent-centered companion needs boundaries, identity, reporting and reversible choices that work in the conversation.
Subscriptions, credits and renewal prompts are easier to judge when the product shows one honest cost story.
A practical aftercare plan for pausing, resetting boundaries and returning to your own offline choices.
Why platforms like Replika and Kindroid are adding temporary, non-persisted chat options—and what it means for your personal data protection.
The era of indefinite memory retention is facing a reckoning. As AI companions become more intimately woven into our daily lives, major platforms are quietly rushing to implement robust privacy controls—not out of goodwill, but survival. Here is why the "incognito mode" is the new must-have feature for 2026.
A dated EmberGF desk for material AI-companion changes to billing, privacy, consent, memory, deletion and account controls—without update hype.
