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For ML engineering teams, research leads & data science managers

Hand off the week's best model run for review

Every Monday, WebRun opens Weights & Biases, reviews the past week's runs per project, identifies the run with the best tracked metric, books a review slot on the ML lead's Google Calendar, and posts the handoff summary in Microsoft Teams so the best result gets a proper look.

  • No credit card
  • Under $0.01 per run
  • Cancel anytime
14,115 templates Safe automation No code
Every Monday at 9:00 AM WebRun
1 Weights & Biases find the best run
2 Google Calendar schedule the review
3 Microsoft Teams post the handoff summary
Run a sample
In short

How do I make sure the best W&B run each week gets reviewed?

WebRun reviews Weights & Biases every Monday, finds the best-performing run per project from the past week based on its tracked metric, and books a review slot on the ML lead's Google Calendar. It then posts the handoff summary in Microsoft Teams with a direct link to each run, so promising results get a scheduled review instead of scrolling by.

  • The best result each week gets a scheduled review instead of getting lost in a run list
  • The ML lead's calendar fills automatically with the runs worth their time
  • Teams sees a direct link to every run worth reviewing

Built for ML engineering teams · research leads · data science managers · MLOps teams

Step by step

What does WebRun do on every run?

The exact actions WebRun takes, in order - in plain language, so you can adjust anything.

  1. WebRun signs in and gets to work

    Opens wandb.ai/login in a real browser with your saved login - no setup, no API keys.

  2. 1
    Weights & Biases - find the best run
    wandb.ai
    WebRun in Weights & Biases: find the best run
    WebRun opens Weights & Biases to find the best run.
    • Open Weights & Biases and review runs logged in the past week per project
    • Sort runs by their primary tracked metric and identify the best one per project
    • Note the run's key hyperparameters and the metric value

    Done when The best run of the week is identified per project with its metric value.

  3. 2
    Google Calendar - schedule the review
    calendar.google.com How to Automate Google Calendar
    WebRun in Google Calendar: schedule the review
    WebRun opens Google Calendar to schedule the review.
    • Open the ML lead's Google Calendar
    • Book a 30 minute review slot for each project's best run within the next three business days
    • Include the run name and metric in the event notes

    Done when A review slot is booked for every project's best run.

  4. 3
    Microsoft Teams - post the handoff summary
    microsoft.com How to Automate Microsoft Teams
    WebRun in Microsoft Teams: post the handoff summary
    WebRun opens Microsoft Teams to post the handoff summary.
    • Post the handoff summary in the ML team's Microsoft Teams channel
    • Name the best run per project, its metric, and the scheduled review time
    • Link directly to the run in Weights & Biases

    Done when The ML team has this week's handoff summary with a link to each run.

Run settings

How is each run configured?

Starting pageWhere Chrome opens at the start of each run
wandb.ai/login
ScheduleRuns automatically on this cadence
Every Monday at 9:00 AM
DeliveryHow each run's result reaches you
Run handoff summary · Microsoft Teams
OutputWhat each run produces - A weekly summary of the best-performing run per project, with a booked review slot and a Teams handoff post.
Text
Setup & safety

Secure by default

Connect once, stays signed in

WebRun signs in once and keeps each session in a persistent environment, so every run picks up right where it left off.

Your credentials stay in your own private environment - WebRun never stores your passwords.
Strict Lockdown

Every action is checked against this policy before it runs.

Domains ALLOWLIST
Typed input ALLOW
Shell command BLOCK
File uploads BLOCK
Runs in a contained environment More on policies
Good to know

Questions, answered

Does WebRun promote the run to production itself?

No. It only surfaces the best run and books a review slot. Promoting a model or registering it stays a decision made by the ML lead in review.

How does it decide which run is best?

It sorts each project's runs from the past week by the primary metric already configured in Weights & Biases, so it uses the same ranking your team already tracks.

What if no new runs were logged that week?

A project with no new runs is simply skipped that week, so the summary only covers projects with fresh results to review.

Put this on autopilot.

Turn it on in minutes - or have our team set it up for you.