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Pre-debrief

Per-interviewer stance across the loop. How each interviewer landed, and where the panel disagrees, before the debrief.

Best forBefore the debrief meeting, after interviews
PrimitivesActorsStanceDecisions

Side by side: token usage, with and without Paperbase

~56k tokens saved · 70% less work for the agent

Without Paperbase

~80k tokens

  1. Collect each interviewer's notes after the loop.
  2. Skim them to reconstruct each person's stance.
  3. Recall who was enthusiastic and who had concerns.
  4. Guess at the disagreement before the meeting.
  5. Chair the debrief blind to where the panel stands.

With Paperbase

~24k tokens

  1. Pull each interviewer's stance from their notes and interactions.
  2. Group into hire, no-hire, and on-the-fence.
  3. Surface the exact point of disagreement, quoted.
  4. Prepare the debrief agenda around the contested points.

Agent prompt

You are preparing the debrief for {{candidate_name}}'s loop.

Using Paperbase:

1. Pull each interviewer's Interactions and extracted stance for the candidate.
2. Group stances: clear hire, clear no-hire, and hold.
3. For every disagreement, quote the evidence behind each side.
4. Note where a concern could be resolved with a reference or a follow-up.

Output:

- The panel's stance map.
- The points of disagreement, with the quote behind each.
- The questions the debrief must resolve to reach a decision.

Placeholders in {double_braces} are inputs the agent will ask for at runtime. Give the prompt to any agent connected to Paperbase, and the rest grounds in your own memory graph.

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