Relevance AI
Relevance AI
NotionRipplingSlackCalendar

Review packets built from the whole quarter

Managers write reviews from what they can remember, which is mostly the recent stuff. The Review Prepper builds each packet from goals, peer feedback and the quarter’s real work.

Review cycle opens Monday
Review Prepper

Cycle opens Monday. Chasing gaps now, not after the deadline.

Compiling goals & peer feedback6s

Four reviewers have not submitted, and two reports have no peer feedback requested at all.

Nudging 4 outstanding reviewers1s
Drafting manager packets8s
Packets are drafted for all 8 reports: goals against outcomes, peer feedback, and wins pulled from the whole quarter, each with three suggested talking points. I chased the 4 late reviewers (two already submitted) and flagged that two reports had no peer feedback requested at all, so those requests went out today, not the night before calibration.

How it works

Review cycle openedCalibration scheduledPacket requestedFeedback window closed
Packets draftedLate reviewers chasedFeedback gaps flaggedTalking points suggested

Triggered by the review cycle

The cycle opening in your HR system starts the packet build, weeks before the deadline instead of the night before.

Assembles, weighs and chases

The agent compiles goals, feedback and shipped work for each report, weighs outlier ratings in context, chases what is missing, and refuses to pad thin packets with filler.

Delivers packets to managers

Each manager gets their packets in Notion with talking points attached, and a Slack note on anything that needs their attention first.

Without Relevance

With Relevance

The review reflects the last three weeks, because that is what the manager remembers at the deadline.

Packets pull goals, feedback and shipped work from the entire cycle, so March counts as much as June.

Missing peer reviews surface the night before calibration, when it is too late to fix.

The agent audits submissions when the cycle opens and chases late reviewers while there is still time.

Each report costs an evening of digging through docs, tickets and old Slack threads.

The manager starts from an assembled packet with suggested talking points, and spends the time on judgment instead.

One harsh outlier review lands in the packet with the same weight as everything else, unexamined.

The agent notes when a rating diverges from every other signal and shows the context, so the manager weighs it rather than averaging it away.

A report with no feedback gets generic filler, and nobody notices until the meeting goes badly.

Gaps are flagged as gaps. The agent requests the missing input instead of writing around it.

Packet quality depends on which manager your report happens to have.

Every report in every org gets a packet built the same way, which is what makes calibration fair.

Held to a quality bar, on every run

Every packet is checked against eval test cases written for this exact job before a manager sees it. If a run fails the bar, it never ships.

Review Prepper

Pass rate · last 14 days

Sampling 2% of live runs · 96% passing this week

Evidence spans the whole cycle96%
Outliers shown with context, not averaged93%
Gaps flagged, never padded94%
Every report built the same way91%

Train your agent like an employee

Onboard it with your playbooks and correct it in plain English. It learns the lesson for good, and nothing changes until you approve it.

Review Prepper
Instructions updated
Tool added
Goal history lookup
13 evals added
Evidence spans the whole cycleOutliers shown with context, not averaged+11 more
Publish version 4
PDFPerformance Review Guide.pdf240 KB
Build review packets the way this guide describes.
Read Performance Review Guide.pdf. Updated my instructions, added a goal history lookup tool, and wrote 12 evals to check every run.
Never let one outlier rating set the tone of a packet. Show it with its context and let the manager weigh it.
Got it. I added an eval that fails any packet where an outlier rating appears without the surrounding signals, so no single review can quietly become the narrative.
Teach it something new…
Ask

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KPMG
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."

Levi Watters

Partner, KPMG Australia

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Autodesk
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."

Allen Roh

Senior Marketing Manager, Autodesk

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Canva
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Rob Giglio

Chief Customer Officer, Canva

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"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."

Levi Watters

Partner, KPMG Australia

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Team it up with more human resources agents

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Security training 92%
3 overdue · Security
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Deadline Fri

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Policy Answerer

Answers policy and benefits questions instantly.

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Leave Manager

Handles time-off requests and approvals.

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  1. 1
    Provisioned accounts
  2. 2
    Shipped laptop
  3. Orientation set

Onboarding Coordinator

Runs new-hire setup across every system.

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eNPS +42

Engagement Pulse

Runs pulse surveys and surfaces sentiment.

Any slots this week?
Booked the panel for Wed 11am
Booked · Wed 11am

Interview Scheduler

Coordinates interview panels across calendars.

Every agent you add shares one stack

These agents all run on one platform: one gateway, one router, one eval suite, one audit trail. Every agent after the first ships faster.

  • Triggered by key events or signalslike Zapier
  • Given access to contextlike Zep
  • Connected to your appslike Composio
  • Access to all LLMslike OpenRouter
  • Performance evaluatedlike Braintrust
  • No-code agent builderlike Dust.tt
  • Coordinated into teamslike CrewAI
  • Chained into multi-step processeslike n8n
  • Kept alive through long-running worklike Temporal
  • Traced at every step of every runlike Langfuse

Put the Review Prepper to work this quarter

We partner with enterprise teams to take this work off their plate. An agent built with you, proven against your quality bar, and live in weeks.