Behind the scenes, with made-up data. This is a read only copy of the admin for a fictional candidate. Reports, traces, spend and chat were produced by a scripted stand-in; the evaluation timeline shows real results of real models on fictional cases. Nothing here can be changed. Back to the real site
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Traces

match.fit

This trace holds the full prompts, including the CV and any text a visitor pasted. Keep it private.

Started

8 Nov, 14:01 UTC

Took

773 ms

Model

nemotron-3-super-120b-a12b openrouter

Tokens in / out

134 / 90

Cost

$0.0000 Error

Steps

The bar shows when each step ran within the 773 ms

5 steps, all shown. Play walks through them in order and opens each prompt and answer.

  1. match.fit Error Step 773 ms

    'NoneType' object has no attribute 'group'

  2. invoke_agent extract-requirements Agent run 344 ms

    Result of the agent

    {"title":"","company":"","minimum_heading":"","desirable_heading":"","requirements":[{"text":"A record of building AI products and delivering measurable customer outcomes.","kind":"minimum"},{"text":"Hands-on experience building agents and evaluating them with applied scientists.","kind":"minimum"},{"text":"Experience with train and test separation, overfitting and honest reporting of results.","kind":"minimum"},{"text":"Experience setting shared quality standards across several teams.","kind":"minimum"},{"text":"Experience with agent observability or evaluation platforms as a product owner.","kind":"desirable"},{"text":"Coaching product partners without formal authority.","kind":"desirable"}]}
  3. chat nvidia/nemotron-3-super-120b-a12b Model call, 134 tokens in, 90 out 333 ms

    Sent

    User

    <posting>
Minimum Requirements
- A record of building AI products and delivering measurable customer outcomes.
- Hands-on experience building agents and evaluating them with applied scientists.
- Experience with train and test separation, overfitting and honest reporting of results.
- Experience setting shared quality standards across several teams.

Preferred Qualifications
- Experience with agent observability or evaluation platforms as a product owner.
- Coaching product partners without formal authority.

What we offer
On site in Seattle. Salary USD 210,000 to 330,000.

</posting>

    Received

    {"requirements": [{"text": "A record of building AI products and delivering measurable customer outcomes.", "kind": "minimum"}, {"text": "Hands-on experience building agents and evaluating them with applied scientists.", "kind": "minimum"}, {"text": "Experience with train and test separation, overfitting and honest reporting of results.", "kind": "minimum"}, {"text": "Experience setting shared quality standards across several teams.", "kind": "minimum"}, {"text": "Experience with agent observability or evaluation platforms as a product owner.", "kind": "desirable"}, {"text": "Coaching product partners without formal authority.", "kind": "desirable"}]}
  4. invoke_agent judge-evidence Error Agent run 384 ms

    'NoneType' object has no attribute 'group'

  5. chat nvidia/nemotron-3-super-120b-a12b Error Model call 363 ms

    'NoneType' object has no attribute 'group'