15 free minutes every week

Find the blind spot your prep missed.

A voice diagnostic that probes past your prepared answers, then hands you one thing to study.

About 15 minutesVoice-firstNo scores

LLM Engineer diagnostic

Gap map ready

Illustrative sample
Prompt groundingExplained clearly
Retrieval evaluationFollow-up went shallow
Re-rankingExplained clearly
Chunking strategyNot yet tested
Embedding choiceNot yet tested

Study next

Measuring retrieval on its own

Coverage

3 of 6 areas checked

Gap foundRetrieval evaluation

LLM Engineer diagnosticIllustrative sample

  • Prompt grounding: Explained clearly
  • Retrieval evaluation: Follow-up went shallow
  • Re-ranking: Explained clearly
  • Chunking strategy: Not yet tested
  • Embedding choice: Not yet tested

Coverage: 3 of 6 areas checked

Study next: Measuring retrieval on its own

Speak. Get probed. Get a map.

  1. SpeakExplain a topic out loud.
  2. ProbeVeda follows up where you thin out.
  3. MapOne gap, traced to what you said.

Watch it find a gap

Illustrative sample

A confident answer is not a tested one.

A RAG assistant is citing the wrong document. Four moments from a sample session — the third one is the product.

The full sample session, start to finish.

01AskCalibration in progress

Veda

Your RAG assistant keeps giving answers that sound right but cite the wrong document. Where do you start?

Step 01

Veda chooses the concept, not you.

The opening question is selected from the benchmark and from what the diagnostic has no evidence for yet — not from a topic you nominated.

02AnswerCollecting evidence

Candidate

I'd tighten the prompt first — tell it to answer only from the provided context and say it does not know otherwise. Then a stronger model, and a re-ranker on top if it is still drifting.

Step 02

Correct, confident — and not an answer.

Every fix named here is a real fix. None of them checks whether the right document ever reached the model. Most self-review stops here, because nothing said was wrong.

03ProbeProbing the prerequisite

Veda

Those all change what the model does with the context. Before that — how do you know the right document was in the context at all?

Candidate

I'd read a few outputs and see if they got better. I have not measured retrieval on its own — I have only ever looked at the final answer.

Step 03

You never separated retrieval from generation. The diagnostic did.

Veda notices the answer jumped straight to what the model does with the context, and follows it back one step: whether retrieval is ever measured on its own.

04Gap mapBuilding the gap map

LLM Engineer

Preliminary picture forming

RAG failure modes

Named real fixes — grounding instructions, a re-ranker, a stronger model.

Promising signal

Evaluating retrieval separately

Judged the system by its final answer only, with no measurement of what retrieval actually returned.

Possible gap

Chunking and embeddings

No evidence collected in this area yet.

Not yet tested

Based on your session

Named three generation-side fixes, then said retrieval had never been measured on its own.

The gap comes from this answer and nothing else. Confidence stays preliminary because one follow-up is thin evidence for a concept this broad.

Study this next

Measuring retrieval before you tune the prompt

Score retrieval on its own — did the right chunk come back, and at what rank — so a wrong answer tells you whether the problem is retrieval or generation.

Step 04

One gap, traced back to what was said.

Retrieval and generation fail for different reasons and are fixed in different places, so they have to be measured apart. That is the concept the session surfaced, and the only one it recommends.

This walkthrough uses a synthetic session written to show how the diagnostic behaves. It is not a real user result.

Fifteen minutes later, you have three things.

Not a score, not a percentile, not a ranking against other candidates. These three artifacts, on a page you keep.

A map of what was actually checked

Coverage

3 of 6 areas checked

  • Prompt groundingChecked in this session
  • Re-rankingChecked in this session
  • Failure triageChecked in this session
  • Chunking strategyNot yet tested
  • Embedding choiceNot yet tested
  • Eval harness designNot yet tested

A gap you can argue with

Possible gap

Evaluating retrieval separately

Based on your session

Named three generation-side fixes, then said retrieval had never been measured on its own.

This is not a gap for me

One thing to study tonight

One next action

Measuring retrieval before you tune the prompt

Roughly 40 minutes of reading.

Nothing else is recommended. That is the whole output.

  • No scores, no ranking

Nothing to install. Talk it through, keep the map.

Start free diagnostic

Before you start

Find the concept your prep has not tested.

One diagnostic. One gap map. One next step.

Start free diagnostic

15 free minutes every week