The useful idea: An answer can be fluent, detailed, and wrong. Check evidence before acting on a claim that matters.
A very confident button
Loosewire had built a little game for the Hideout's arcade. It had a bouncing moon, three impossible doorways, and a scoreboard that was mostly working.
“It needs to run faster,” he announced. “The moon is arriving late.”
He asked an AI helper how to speed up the game engine.
The answer appeared immediately:
Open Settings. Choose Performance. Enable Mega Mode.
“Mega Mode,” said Loosewire. “That sounds extremely professional.”
Patcher looked over. “Does it exist?”
The missing instruction
They opened Settings. Then Performance. Then several menus that did not seem related but looked promising.
There was no Mega Mode.
Loosewire asked the helper again. It supplied a longer explanation, including a keyboard shortcut and a confident little numbered list.
“It has numbers,” he said.
“So does a wrong phone number,” said Patcher.
Ghostlight brightened above the desk. “Where did the instructions come from?”
The helper had not checked the documentation. Its answer sounded like software instructions because it had learned patterns in software instructions. In this fictional example, it had filled a gap with a plausible detail.
A smaller, better question
Patcher opened the manual for the exact version they were using. She gave the helper the relevant section and asked:
Using only this excerpt, identify the documented performance settings. Quote the line supporting each one. If the excerpt does not contain the answer, say so.
This time the answer began: “The excerpt does not mention Mega Mode.”
“Less exciting,” said Loosewire.
“More useful,” said Patcher.
They followed the manual to the game's performance monitor, a tool that showed where its time was going. Loosewire had asked it to draw every star twice.
They changed that one thing, ran the same scene again, and checked the result. The moon arrived on time.
The sign over the desk
Loosewire made a sign:
SOUNDS RIGHT? CHECK WHAT SUPPORTS IT.
Underneath, Patcher added:
A SOURCE LINK IS A START. OPEN IT.
The helper had still been useful. It helped them read the manual and organize the next step. They had changed how they used it: ask, inspect, verify, then act.
“Can we keep the name Mega Mode?” Loosewire asked.
“For the sandwich toaster,” said Patcher.
The real concept
An AI hallucination is generated output that presents incorrect or invented information as if it were supported. Language models learn patterns and generate text; fluent wording alone does not establish factual accuracy. IBM: AI hallucinations
Grounding connects an answer to external information, such as documentation or supplied records. It can improve reliability and make evidence easier to inspect. It does not guarantee a correct answer. Google Cloud: grounding overview
The story simplifies how AI systems work. Some assistants can search the web or use tools; others cannot. Even a tool-enabled assistant can retrieve the wrong source, misread it, or cite a passage that does not support the claim. Asking an AI to check itself is not independent verification.
Try it in two minutes
Choose a public help page for an app you use. Ask an AI to explain one feature using only that page and to quote the supporting passage. Then open the original page yourself.
- Does the passage actually support the answer?
- Is it about the right product version?
- What did the source leave unanswered?
Use a harmless feature question. You do not need private data, paid tools, or account changes for this experiment. A cautious answer that identifies a missing fact can be more useful than an elaborate guess.
One thing to remember: Confidence is a style of delivery. Evidence is what lets you check a claim.
From the workshop
The characters, game engine, and Mega Mode are fictional. This is a teaching story, not a report of a test against a named AI model. We used AI-assisted creative tools and checked the teaching points against the sources linked above. Reviewed for the launch kit on September 21, 2026. Comments or replies to the Substack publication are the initial route for corrections.
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