A thread you can test
Long-term Use
4 notes move from the word to a real choice at work — understand it first, then decide whether to use it.
Each note stands alone, or becomes the next step in this thread.
THE QUESTION THIS PAGE ANSWERS
ANSWER FIRSTWhat is Long-term Use, and which AI decisions does it change?
Expectation-confirmation theory: satisfaction equals experience minus expectation. Play the gacha to see “demo is P99, users get P50,” drag the hype slider to watch signup conversion and 30-day retention trade off, then flip three levers on the expectation-curve editor This page keeps the related concepts, common mistakes, and practical notes in one reading thread.
First decide whether you are blocked by a definition, a choice, or verification; then choose the closest of the 4 notes below.
Start with “Honeymoon Cliff: Hype Raises Expectation—Retention Pays It Back,” then restate the conclusion using your own task.
Do not treat every method in a topic as interchangeable. The answer changes with the input, risk, and acceptance bar.
THIS QUESTION THREAD
Put the word back inside the choice it changes.
Honeymoon Cliff: Hype Raises Expectation—Retention Pays It Back
Expectation-confirmation theory: satisfaction equals experience minus expectation. Play the gacha to see “demo is P99, users get P50,” drag the hype slider to watch signup conversion and 30-day retention trade off, then flip three levers on the expectation-curve editor
AI Label Discount: Same Content, Mark It AI and It Drops in Value
Label content AI-generated and ratings drop systematically; people who use AI at work still fear being seen. Feel the discount in a double-blind rating, judge five scenes on whether to show the label, drag a wording ladder for depth, then pick the export page users dare to share
Cognitive Offloading: Users Rely on You—and Fear Going Rusty
The Google effect shows people drop from memory what they can look up; AI expands outsourcing from recall to thinking. Pick an outsourcing checklist to see which offloads are risky, drag the Copilot-to-Autopilot positioning slider, flip switches to turn answers from “think for you” into “think with you”
Emotional Attachment: After Users Fall in Love with Your Product
Attachment is real—the Replika 2023 incident proved depth and risk. Grade six user messages with the attachment-signal classifier, open the four-act Replika timeline, then flip three safety valves: identity reminder, vulnerable-topic handoff, impermanence disclosure