AI AGENTS
Weekly A/B Experiment Portfolio Digest with Verdicts
Every Monday, an agent reads all experiments that ended in the past week from BigQuery, assigns each a ship/kill/iterate verdict.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly Monday schedule
- ActionQuery all experiments ended this week (BigQuery)BigQuery
- LogicScore and assign verdict per experiment
- ActionRank and summarize the portfolio
- OutputPost ranked digest to SlackSlack
What it does
Gives leadership a weekly, one-glance view of the whole experiment portfolio. The agent gathers every test that concluded in the last seven days, judges each one, and assembles a ranked digest — clear winners to ship at the top, kills and inconclusive iterates below — in a single Slack post.
When to use it
Use this when experiments end on rolling schedules and decisions get scattered across channels. A weekly roll-up keeps the program legible without anyone compiling a deck.
How it works
- 1A weekly schedule trigger fires Monday morning.
- 2A BigQuery action queries all experiments with an end date in the trailing week.
- 3A logic step scores each experiment and assigns ship, kill, or iterate.
- 4The agent ranks them by impact and writes a concise summary line per experiment.
- 5A Slack message posts the consolidated portfolio digest to the leadership channel.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
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