Find agent skills by outcome

Bu sistem

Arrival (2016) filmindeki bir gözlemle başladı:

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Coding & Debugging

Terapide dönüştürücü sayılan soru

teknik destekte dönüştürücü sayılandan farklıdır. Bir bağlamda derinlik açan soru

Geleneksel yaklaşımlar sabit metrikler kullanır: duygu skorları

etkileşim oranları

LLMs are increasingly used to generate questions: in therapy bots

coaching apps

These require judgment

empathy

During testing

the final Socratic chain asked:

- Human-final: shows candidates

human decides

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| Elenchus (examination) | Chain 5: Apply lens

find tensions |

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| Human as final authority | System shows

human decides |

- A mirror

not a judge

- Socratic: it asks

it doesn't conclude

- A discovery method

not a scoring algorithm

- Introduces value trade-offs (money vs belonging

loss vs gain)

Data

In a philosophical dataset

context might mean abstraction level.

toward examining internal meaning

assumptions

Data

In a therapy dataset

context might mean emotional depth.

Louise

the linguist

Data

In a technical dataset

context might mean problem scope.

Traditional approaches use fixed metrics: sentiment scores

engagement rates

print(json.dumps(results

indent=2

When humanity encounters aliens

the military asks: Are you hostile?

Writing & Content

{role: assistant

content: What achievements would you highlight?}

Writing & Content

{role: human

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

Writing & Content

{role: assistant

content: Sure