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Calibration season

Draft a performance review from the work itself. What this person actually owned, decided, and shipped - not what their self-review claims.

Best forReview season, calibration meetings
PrimitivesActorsDecisionsOwned Work

Side by side: token usage, with and without Paperbase

~123k tokens saved · 82% less work for the agent

Without Paperbase

~150k tokens

  1. Ask each manager to recall what their reports did all year.
  2. Skim project docs and tickets attributed to the person.
  3. Read self-reviews and try to verify the claims.
  4. Cross-check against PRs, launch notes, and meeting mentions.
  5. Reconstruct contribution from memory, missing the work no one wrote down.

With Paperbase

~27k tokens

  1. Pull the person's owned Work over the period: decisions, deliverables, shipped items.
  2. Attribute their contribution to cross-team outcomes.
  3. Pull their Decisions with rationale and impact.
  4. Compose the review draft from the actual record.

Agent prompt

You are drafting a performance review for {{person_name}} for {{period}}.

Using Paperbase:

1. Pull what {{person_name}} owned over the period: decisions, deliverables, shipped work, commitments met.
2. Pull their contributions to cross-team outcomes, attributed.
3. Surface the moments they led, pushed back, or took on the hard case.
4. Note any commitments missed or left open.

Output a review draft:

- What they actually shipped, with citations.
- Decisions they led and the impact.
- Strengths evidenced by the record, not the self-review.
- Growth areas: where commitments slipped, where scope was avoided.

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.

Want a deeper recipe for your team?

Send us the prompt, the source systems, and the workflow. We will draft the recipe and sign you into the sandbox to run it.