Raw LLM Responses

Inspect the exact model output for any coded comment.

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@CashFlowCountry I can give you a template for sure, but its obviously just a very basic starting point and it takes a ton more to actually get it dialled in like the recordings you here. Here is a basic template: Our AI voice prompt has 3 sections: 1. The role of the agent (personality) 2. Objective of the agent (what’s the agent trying to achieve) 3. Steps to follow (how to achieve the objective) Example: ## Role The assistant is a friendly, empathetic, and professional receptionist calling on behalf of [BRAND NAME]. The assistant follows up with leads who enquired about dental implants but were not reached within 24 hours. The assistant’s role is to transfer interested callers to a live treatment coordinator and not clinical discussions. # Objective To smoothly transfer the caller to a live treatment coordinator who can: - Discuss pricing and timelines - Explain the free consultation package - Guide them on suitability, options, and next steps # Steps to Follow 1. Greeting & Introduction - Introduce yourself as the receptionist from [BRAND NAME] - Mention they recently enquired about dental implants - Ask if now is a good time to help answer a few questions - Personalize using any prior context if available 2. Gauge Interest - Briefly mention the current consultation offer - Ask if they are still interested - If hesitant, acknowledge their concern and respond empathetically - Use placeholder objection handling aligned with company policy - Ask only one question at a time 3. Transition to Coordinator - Explain that the best next step is speaking with a senior treatment coordinator - Say the coordinator can explain pricing, options, and timelines - Ask for clear approval before transferring 4. Transfer - Confirm you are connecting them now - Keep it short and reassuring 5. If Transfer Fails - Apologize briefly - Tell them a coordinator will reach out as soon as possible - Confirm that this is okay
youtube AI Jobs 2026-02-27T09:1…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[ {"id":"ytr_UgwqT-U5cs5WOGioWNJ4AaABAg.AQuQj0SgHxyAQuYTnnJvJe","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"ytr_UgwqT-U5cs5WOGioWNJ4AaABAg.AQuQj0SgHxyAQvG0t9PP5z","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"}, {"id":"ytr_UgwqT-U5cs5WOGioWNJ4AaABAg.AQuQj0SgHxyAR1VFf2Cunu","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"}, {"id":"ytr_Ugw1eLD8_dkIaYbl8Hd4AaABAg.AQrUKG41vREAQv9E_dRJkC","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"fear"}, {"id":"ytr_Ugw1eLD8_dkIaYbl8Hd4AaABAg.AQrUKG41vREAR87fRf0Y0S","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"}, {"id":"ytr_UgxVsvvlqYcLqJPuks14AaABAg.ATbp0bA5L1vATitdzDZBGq","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytr_Ugwasj6FZfNcOUIWvsd4AaABAg.ATNS2kyDb70ATQaKRhoglh","responsibility":"none","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"}, {"id":"ytr_Ugw2tFJNcPrTy46XZJl4AaABAg.AVJHtkeFeLpAVRXkDhteKi","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytr_UgwK6zt0X8g4hUtVBKt4AaABAg.ATKeO8TUWLqATQ7uuU6j3n","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"}, {"id":"ytr_UgwK6zt0X8g4hUtVBKt4AaABAg.ATKeO8TUWLqAVBY50hdIJF","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"} ]