Find agent skills by outcome

LLM'ler giderek daha fazla soru üretmek için kullanılıyor: terapi botlarında

koçluk uygulamalarında

Coding & Debugging

Bir terapi veri setinde bağlam

duygusal derinlik demek olabilir.

Coding & Debugging

Terapide dönüştürücü sayılan soru

teknik destekte dönüştürücü sayılandan farklıdır. Bir bağlamda derinlik açan soru

Creative

Bu sistem

*Arrival* (2016) filmindeki bir gözlemle başladı:

In a therapy dataset

context might mean emotional depth.

In a philosophical dataset

context might mean abstraction level.

In a technical dataset

context might mean problem scope.

{role: human

content: I need to ask my boss for a raise.}

{role: assistant

content: What achievements would you highlight?}

{role: human

content: Can you help me write an email?}

{role: assistant

content: What was different then?}

{role: assistant

content: Sure

{role: assistant

content: When did you last feel like you were growing?}

{role: human

content: Maybe three years ago

{role: human

content: Like I'm going through the motions but not growing.}

{role: human

content: I've been feeling stuck in my career lately.}

{role: assistant

content: What does 'stuck' feel like for you?}

content = turn.get(content

in any given dataset

then scans for transformative questions.

3. In this dataset

what does context changed mean?

2. In this dataset

what does stayed in the same context mean?

Creative

design_goal: Consistent decision architecture + dynamic equilibrium (weights flow according to context

but the safety/ethics core remains immutable).

- Ensure the reader can distinguish between observed data

reported information

(data

trends