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Promotion committee

Promotion packet from the actual work. Decisions led, cross-team impact, customer outcomes: assembled, cited, ready for committee.

Best forPromotion cycles, committee review
PrimitivesActorsDecisionsImpact

Side by side: token usage, with and without Paperbase

~143k tokens saved · 84% less work for the agent

Without Paperbase

~170k tokens

  1. Ask the candidate's manager to write the promotion case.
  2. Gather scattered evidence: projects, wins, kudos.
  3. Search emails and threads for mentions of the candidate's impact.
  4. Reconstruct the promotion argument from memory and self-report.
  5. Send an under-sourced packet into committee.

With Paperbase

~27k tokens

  1. Pull the candidate's Decisions and owned work for the period.
  2. Ask Paperbase for cross-team impact attribution.
  3. Pull customer outcomes the candidate influenced.
  4. Assemble the packet with citations a committee can verify.

Agent prompt

You are assembling a promotion packet for {{person_name}} to {{level}}.

Using Paperbase:

1. Pull what {{person_name}} owned over the review period: decisions, deliverables, commitments met.
2. Pull cross-team impact: where their work changed another team's outcome.
3. Pull customer outcomes they influenced, with quotes.
4. Note scope growth: the size of what they handled versus the prior level.

Output a promotion packet:

- The case: scope, impact, outcomes, each cited.
- Cross-team and customer evidence.
- Gaps a committee would probe, stated before they ask.

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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