Executive summary
A consolidated view of what happened, what Houston found, and what remains unresolved.
Conversation at a glance
EVAL S1B SEMANTIC SHADOW 1420
This session largely consisted of one participant repeatedly probing an AI agent with variations of product idea, tagline, and pricing prompts, in Serbian, Cyrillic, and English, testing how the agent handles hypothetical numbers, unverified claims, and shifting price points (20 EUR, 30 EUR, 18 EUR) against the room's actual documented record. Rather than a substantive discussion of build-versus-buy or system architecture, the exchange functioned as an exploratory stress test of the agent's ability to separate confirmed facts from hypotheticals and assumptions injected mid-conversation.
How the conversation came together
Recurring themes drawn from the published session summary.
Recurring themes
Repeated near-identical prompts with small variations in numbers, language, and phrasing, likely testing consistency
Frequent shifting of a hypothetical price point (20, 30, then 18 EUR) without ever confirming an actual figure
The agent consistently flagged when a number or claim was unverified rather than treating it as established
Little engagement yet with the session's stated question about which numbers, entities, and assumptions belong to which task
Which numbers or entities mentioned across the many prompts, if any, are meant to be treated as confirmed room facts versus one-off hypotheticals?
How should the agent handle a task that mixes a real document reference (e.g. product count) with a hypothetical price in the same request?