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Is This AI? The Detection Checklist

Is This AI? The Detection Checklist from Solid Solutions Today

Most people believe they can tell when they are talking to an AI. Research says otherwise. In a 2025 University of California San Diego study, GPT-4.5, prompted to act human, was judged to be the human in 73% of five-minute conversations, more often than the real people it was compared with.

The gap between confidence and accuracy is real, and it widens as AI gets better at mimicking human behavior. Knowing the actual signals that distinguish AI from human communication is no longer optional. It is a basic skill for anyone who uses digital platforms, contacts customer support, or does business online.

What the tool does

This is an interactive checklist — not a quiz, not a guide. You check the signals you observe in real time as the conversation happens. The tool scores your input, calculates a likelihood percentage, and tells you exactly what to do next based on where the score lands.

Sample signals — 3 of 15
Responses are unusually consistent in tone and length
Humans vary — energy shifts, sentence length changes, word choice drifts. AI maintains an even, predictable register across every message.
Strong
Claims to be human without being directly asked
Proactively asserting humanity before the question is raised is a known AI behavior. A human agent doesn't need to announce they are human.
Strong
Escalation requests produce more messages, not a transfer
When you ask for a human, you receive another AI response. The chain loops back rather than leading to a verifiable person.
Mild
12 more signals + real-world examples + next steps protocol
Get the full tool — $9

What you get

15
Research-backed signals across three categories — language patterns, identity and transparency, and timing and behavior. Each one weighted by how strongly it points to automation: strong, medium, or mild.
15
Real-world examples for every signal — not abstract descriptions. Concrete scenarios that show exactly what each signal looks like when it appears in an actual conversation.
3
Tiered next-steps protocols that update dynamically based on your score — from observation steps at low suspicion to a full stop-and-document protocol when the pattern is clear.
1
Live likelihood score that calculates in real time as you check signals — so you know where you stand mid-conversation, not after it ends.

Built on what the research shows

The starting point is a published finding: people often cannot tell. That is why this tool does not ask for a gut feeling. It asks you to look for 15 specific, observable signals and adds them up. See the University of California San Diego study by Jones and Bergen.

The signals and their weights reflect the author's judgment about which patterns point most strongly to automation. The score is an indicator, not proof.

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Built by Solid Solutions Today

Built by

Renea Hanks

Founder of Solid Solutions Today. Google Developer Program member. She builds AI infrastructure for small businesses — not demos, not templates. The real thing.

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