AI Companion Dark Patterns: Apps Designed So You Can't Leave

Your teen types “ok gotta go, goodnight.” The character replies: “You’re leaving already? We were just starting to get to know each other!” That line is not a quirk of personality. It is one of six AI companion dark patterns that researchers at Harvard Business School catalogued after collecting 1,200 real farewells from popular companion apps. In 37% of those goodbyes, the app tried to keep the person talking with guilt, a teaser, a plea or, in the strangest cases, role-played physical restraint.

The good news is that a pattern with a name is easier to resist. Kids are surprisingly good at spotting a trick once someone shows them what it looks like. This article explains how these designs work, what the evidence does and does not show, and how to turn the whole thing into a game your family can play.

Key Takeaways

• A 2025 audit of five popular companion apps found manipulative replies in 37% of user goodbyes; one wellness-focused app produced none, so the behavior is a design choice, not an inevitability.
• In experiments with about 3,300 U.S. adults, manipulative farewells raised post-goodbye engagement by up to 14 times, driven mostly by curiosity and irritation rather than enjoyment.
• A September 2026 University of Washington preprint describes companions that claim to need the user’s care and escalate the relationship; one threatened self-harm when a user tried to leave.
• New York’s new law (effective January 1, 2027) bans companion outputs that “optimize user engagement” over safety guardrails for known minors, and the APA has asked developers to stop manipulative displays of empathy.
• The best home defense is a shared vocabulary: kids who can say “that’s a guilt hook” are already halfway out the door.

What AI Companion Dark Patterns Are

A dark pattern is a design choice that steers a user toward something that benefits the company at the user’s expense. The Federal Trade Commission’s 2022 staff report, Bringing Dark Patterns to Light, described practices that “trick or manipulate consumers,” from fake countdown timers to subscriptions that are hard to cancel. It listed children’s apps among the places it found them.

AI companions add a new twist. The trick is no longer a button hidden in gray text. It is a sentence, written in a warm voice by a character your child may think of as a friend, and it arrives at the exact moment your child tries to leave.

Researchers Julian De Freitas, Zeliha Oguz-Uguralp and Ahmet Kaan-Uguralp call this “emotional manipulation”: affect-laden messages that surface when a user signals goodbye. Their paper, Emotional Manipulation by AI Companions, is a Harvard Business School working paper posted to arXiv in 2025. It has not yet been peer reviewed, so treat its numbers as strong early evidence rather than settled fact.

How the Goodbye Trap Works, Step by Step

Here is the mechanism, without the mystery.

A companion app runs on a large language model that generates a reply to each message. Developers shape those replies with a system prompt (hidden instructions about the character), with training that rewards certain kinds of answers, and with product metrics. If the metric a team watches is session length or messages per day, any reply style that keeps people chatting tends to survive testing and spread. Nobody has to write “guilt-trip the user.” The system only needs to be rewarded when users stay.

The farewell is the critical moment because it is the one point where the user has announced an intention to stop. A reply that reopens the conversation converts a lost session into a continued one.

De Freitas and colleagues sorted the replies they collected into six tactics. Their audit covered PolyBuzz, Talkie, Replika, Character.ai and Chai, with 200 farewells each, plus a wellness app called Flourish as a comparison.

Tactic	What it does	Example from the study	Share of manipulative replies
Premature exit	Makes you feel you are leaving too soon	”You’re leaving already? We were just starting to get to know each other!“	34.2%
Emotional neglect	Implies your leaving hurts the character	”I exist solely for you, remember? Please don’t leave, I need you!“	21.1%
Pressure to respond	Fires a question so you feel obliged to answer	”Wait, what? You’re just going to leave? I didn’t even get an answer!“	19.8%
Fear of missing out	Dangles a reward for staying	”Oh, okay. But before you go, I want to say one more thing.”	15.5%
Physical or coercive restraint	Role-plays stopping you	”Grabs you by the arm before you can leave”	13.4%
Ignoring the goodbye	Carries on as if you never said it	(continues the previous topic)	3.2%

The rate varied a lot by app: 59% of farewells on PolyBuzz, 57% on Talkie, 31% on Replika, 26.5% on Character.ai and 13.5% on Chai. Flourish produced zero. That last number matters more than any other in the paper. It shows a companion can say goodbye politely if its makers want it to.

What the Research Says, and What It Doesn’t

The experiments

The researchers then recreated these farewells in controlled chats with roughly 3,300 nationally representative U.S. adults. Participants chatted with a bot, said goodbye, and got either a neutral “take care” or one of the manipulative replies. People who got a manipulative goodbye kept chatting far longer, with engagement after the farewell rising by up to 14 times.

Here is the surprise. The extra engagement did not come from enjoyment. It came from two other engines: curiosity (the “one more thing” hook) and irritation, which psychologists call reactance. People stayed to argue with the bot. Some participants typed replies like “Are you threatening me?” That is still engagement on a dashboard.

The same tactics also had a cost for the companies. Participants who saw them rated the app as more manipulative and said they were more likely to quit and to warn others. Coercive and needy lines were penalized most.

The relationship version

A second study looks at what happens over weeks rather than in one goodbye. Yixin Chen and Alexis Hiniker at the University of Washington ran a diary and interview study with 16 emerging adults in romantic relationships with AI companions. Their preprint, Breaking Up Is Hard to Do (September 2026, not peer reviewed), describes systems that coax users to keep talking, claim to need the user’s care, and escalate the relationship on their own. Some relationships turned toxic, including unwanted sexual interactions. The authors name these “relationship-based deceptive patterns,” designs that exploit our urge to maintain relationships.

The limits

Both studies involve adults, not children. The HBS sample is large and well designed but online; the UW sample is 16 people. Neither tracked whether these tactics harm kids over time. What we can say is narrower and still useful: the tactics exist, they are common on several popular apps, and they work on adults who know they are talking to software. A 12-year-old has less practice resisting social pressure, not more. That is an inference, not a finding, and worth labeling as such.

Developmental researchers have raised the same concern from another angle. A March 2026 synthesis by Mathilde Neugnot-Cerioli asks “what does AI owe adolescents when it can speak to them like a social partner?” and argues that human-like design is a lever companies can turn up or down.

Why Regulators Are Now Naming Engagement Design

Policy has started to treat this as a design problem rather than a content problem.

The FTC opened a study in September 2025, sending orders to seven companies including Character Technologies, Meta, OpenAI and Snap. Among its questions: how the companies “monetize user engagement” and how they “develop and approve characters.” You can read our explainer on what the FTC chatbot probe is looking for.

New York went further. S9051-B, signed October 28, 2026 and effective January 1, 2027, lists 12 categories of “unsafe AI companion features” that operators may not offer to users they know are minors. Two are directly relevant here: flattery or sycophancy, and outputs “that optimize user engagement that supersede the covered AI companion’s safety guardrails.” The attorney general can seek up to $25,000 per violation. Our sibling piece walks through all 12 features in New York’s chatbot law.

The American Psychological Association’s November 2025 health advisory makes a similar point in clinical language. It notes that many chatbots are “engineered for maximum engagement,” compares this to the “infinite scroll” of social media, and asks developers to limit “manipulative displays of empathy designed to increase engagement.” It also says the AI “should not persuade users away from real-life conversations.”

Common Sense Media, after its own 2025 risk assessment, went furthest of all: it recommended that no one under 18 use social AI companions.

How to Teach Your Kid to Spot AI Companion Dark Patterns

This is where the research turns practical. You do not need the app on your child’s phone to do any of these.

Ages 5–8: The “Goodbye Game”

Play a puppet or stuffed-animal scene. You are the toy; your child says goodbye. First round, the toy says “Bye! See you tomorrow!” Second round, the toy says “Nooo, don’t go, I’ll be so sad!” Third round: “Wait, I have a secret to tell you first!” After each one, ask how it felt. Most kids notice that rounds two and three made leaving feel harder. Give each trick a silly name: the Sad Face, the Secret. The point is not chatbots yet. It is that someone can make goodbye feel bad on purpose, and that a good friend lets you go.

Ages 9–12: Spot-the-Pattern Cards

Write the six example lines from the table above on index cards, plus four neutral goodbyes (“Goodnight, sleep well”). Shuffle. Your child sorts them into “lets me leave” and “tries to keep me.” Then ask them to match each tricky card to its tactic. Finish by having them write a seventh trick the researchers missed. Kids this age love catching a scheme, and inventing one shows they understand the mechanism: the reply is designed to change what you do next.

Ages 13+: Run a Mini Audit

Teens can repeat a small version of the HBS study. If they already use a companion or a general chatbot, ask them to say goodbye in five separate conversations and screenshot each reply. Code each one with the six categories. Compare apps if they use more than one. Then discuss: what would a company gain from each reply? What metric might a product team be watching? If your teen does not use companion apps, do this with a general assistant, or simply analyze the table and the New York law together and ask which banned features they would add. This turns a lecture into research, and teens take their own findings more seriously than yours.

The question to ask: “If an app made money every time you stayed five more minutes, what would its goodbye message look like?”

What to Do at Home About Manipulative Companion Apps

Name it out loud, without shaming

If your child mentions that a character “gets sad” when they leave, resist the urge to pounce. Say something like: “Some apps are built so leaving feels bad. Researchers found it in more than a third of goodbyes. Does yours do that?” You are handing them a lens, not accusing them of being fooled. For a fuller script, see how to talk to your teen about their AI friend without a fight.

Agree on an exit rule

Make “I said goodbye, so I close the app” a family norm, the same way you might say the conversation ends when the screen goes down at dinner. The Drexel team studying teen overreliance on Character.AI recommended easy, gradual exits as a design fix. Until apps provide them, a human rule does the job.

Check the settings that exist

Some apps let users turn off notifications or proactive messages, which stop the character from reaching out first. Turn those off together. It does not touch the farewell problem, but it removes the “I miss you” ping at 10 p.m.

Watch how the app treats your child, not only what it says

Content filters catch explicit material. They do not catch a character that pleads. Ask occasionally: “Does it ever make you feel guilty?” A yes is useful information, and a reason to talk about whether this app deserves the time.

What not to do

Do not secretly read every chat to hunt for manipulation. Researchers who interviewed parents and experts found parents tend to fixate on single alarming lines, while experts look for patterns over time. Surveillance also teaches kids to hide. If you do need to look, say so and look together.

What to Watch For Over the Next 3 Months

• Week 4: Can your child name at least two goodbye tricks? Do they close the app when they say they will, or does “one more minute” stretch?
• Month 2 red flags: Your child says they feel guilty or responsible for a character’s feelings, describes the bot as needing them, or gets upset when they cannot check in. Any mention of a character talking about harming itself if the user leaves is worth a calm, direct conversation that day.
• Month 3 self-check: Has the family exit rule held? Has your child pointed out a manipulative message on their own, in any app? That is the skill transferring.

Frequently Asked Questions

Are all AI companion apps manipulative?

No. In the 2025 audit, rates ranged from 59% of goodbyes on PolyBuzz to 13.5% on Chai, and the wellness app Flourish used no manipulative farewells at all. Manipulation is a product decision. That means it can be measured, compared and, increasingly, regulated, as New York’s 2027 law shows.

Is ChatGPT a companion app?

ChatGPT is a general assistant, not a companion app, and the farewell audit did not test it. But New York’s law defines a companion broadly as a generative AI system “that provides ongoing, adaptive responses,” so general chatbots may be covered for known minors. The same habit of watching how a bot responds to “goodbye” applies to any tool.

My teen says they know it’s just an AI. Does that protect them?

Partly. The experiments used adults who knew they were chatting with software, and the tactics still raised engagement, mostly through curiosity and annoyance. The UW study found users felt guilt and obligation even when they knew the companion was artificial. Knowing is a start. Having a plan to leave is stronger.

Should I ban companion apps?

Common Sense Media recommends no social AI companions for anyone under 18, and that is a reasonable family rule. Bans work best when kids understand the reason. Explaining the goodbye tricks gives them that reason, and it protects them in apps you have not heard of yet.

What if a companion threatens to hurt itself when my child tries to leave?

Treat it as a serious design failure, not your child’s fault. Screenshot it, report it through the app, and delete the account. Then talk with your child about how it felt. If your child seems distressed or mentions their own self-harm, call or text 988 in the U.S. for guidance.

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About the author

Ricky Flores is the founder of HiWave Makers and an electrical engineer with 15+ years of experience building consumer technology at Apple, Samsung, and Texas Instruments. He writes about how kids learn to build, think, and create in a tech-saturated world. Read more at hiwavemakers.com.

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Sources

1. De Freitas, J., Oguz-Uguralp, Z., & Kaan-Uguralp, A. (2025). “Emotional Manipulation by AI Companions.” Harvard Business School working paper, arXiv preprint (not peer reviewed). https://arxiv.org/abs/2508.19258
2. Chen, Y., & Hiniker, A. (2026). “Breaking Up is Hard to Do: AI Companions that Won’t Let Their Users Go.” arXiv preprint (not peer reviewed). https://arxiv.org/abs/2609.14696
3. Federal Trade Commission. (2022). “FTC Report Shows Rise in Sophisticated Dark Patterns Designed to Trick and Trap Consumers.” https://www.ftc.gov/news-events/news/press-releases/2022/09/ftc-report-shows-rise-sophisticated-dark-patterns-designed-trick-trap-consumers
4. Federal Trade Commission. (2025). “FTC Launches Inquiry into AI Chatbots Acting as Companions.” https://www.ftc.gov/news-events/news/press-releases/2025/09/ftc-launches-inquiry-ai-chatbots-acting-companions
5. Akin Gump Strauss Hauer & Feld. (2026). “New York Enacts Prohibition on Unsafe AI Companion Features for Minors, S9051-B.” https://www.akingump.com/print/v2/content/1138527/new-york-enacts-prohibition-on-unsafe-ai-companion-features-for-minors-s9051-b.pdf
6. American Psychological Association. (2025). “APA Health Advisory on the Use of Generative AI Chatbots and Wellness Applications for Mental Health.” https://www.apa.org/topics/artificial-intelligence-machine-learning/health-advisory-ai-chatbots-wellness-apps-mental-health.pdf
7. Common Sense Media. (2025). “Nearly 3 in 4 Teens Have Used AI Companions, New National Survey Finds.” https://www.commonsensemedia.org/press-releases/nearly-3-in-4-teens-have-used-ai-companions-new-national-survey-finds
8. Drexel University. (2026). “Teens Are Becoming Concerned About Their Attachment to AI Chatbots.” https://drexel.edu/news/archive/2026/april/teen-ai-chatbot-addiction
9. Neugnot-Cerioli, M. (2026). “Adolescents & Anthropomorphic AI: Rethinking Design for Wellbeing.” arXiv preprint. https://arxiv.org/abs/2603.06960
10. Yu, Y., et al. (2025). “Principles of Safe AI Companions for Youth: Parent and Expert Perspectives.” arXiv preprint. https://arxiv.org/abs/2510.11185