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
Reverse Apply

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

781 ms

Model

claude-haiku-5.5 openrouter

Tokens in / out

134 / 90

Cost

$0.0001 Error

Steps

The bar shows when each step ran within the 781 ms

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

  1. match.fit Error Step 781 ms

    'NoneType' object has no attribute 'group'

  2. invoke_agent extract-requirements Agent run 472 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 anthropic/claude-haiku-5.5 Model call, 134 tokens in, 90 out 458 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 259 ms

    'NoneType' object has no attribute 'group'

  5. chat anthropic/claude-haiku-5.5 Error Model call 236 ms

    'NoneType' object has no attribute 'group'