கKatralAI

Career Katral · Lesson 2 · 11 min

Proof over confidence

In one sentence

A demo that works once is not a product. Evals catch fluent lies before a client does.

Arul

Arul

Career coach

The market hires proof. We will build the proof.

Read the idea, watch the picture, then try it with your hands.

Watch the idea

The concept

Case

Question + allowed sources

Score

Groundedness, not style

Gate

Invented citation is caught

Proof over confidence

Junior AI interviews now probe evals: can you catch a fluent lie before a client does? Write the question, the allowed sources, and what good looks like. Score groundedness. Then fix the system, not the slide.

A one-time demo is never enough

Hiring managers have seen twenty chat UIs. They have not seen your refusal path, your trace, your cost cap, or your score on a held-out set. That is the difference between a weekend toy and a hireable project.

Put the number on the artifact

Unsupported answers 18% → 4%. Time-to-first-draft 40 minutes → 8 with a human edit. Numbers travel through ATS filters and interviews. Adjectives do not.

Worked example

Two GitHub READMEs

A: 'RAG chatbot using LangChain and OpenAI.' B: 'Retrieval over 120 HR PDFs. 40 eval cases. Groundedness gate. Refusal when empty. Unsupported answers 18% → 4%.' B gets the loop. A gets a shrug.

Picture to keep

Eval loop

  1. 1Case
  2. 2Score
  3. 3Fix