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·4 min read·Waveloom

Start with one source: how to test an AI work feed

Choose one job, connect one suitable source, and compare the feed with what actually happened. A practical way to evaluate usefulness without connecting every work account at once.

Connecting more apps is not the same as proving that an AI feed is useful.

If you connect everything at once, a good card is hard to explain and a missing one is hard to diagnose. Was the right source listening? Did the relevant update arrive? Was the interpretation wrong, or was the event never available to the system?

A smaller first test gives you a better answer. Choose one job, one source and a few examples you can check yourself.

The steps below are a way to evaluate Waveloom once you have beta access, not a promise that joining the waitlist immediately creates an account.

Pick a job before an app

Write one sentence describing the help you want. "Make me more productive" is difficult to test. These are easier:

  • Notice an incoming sales question that deserves my reply.
  • Bring a customer blocker in our tracked project to my attention.
  • Surface a relevant update to a project I am actively following.

Choose the tool where that evidence actually appears. For a reading-only test, a suitable Notion or Linear source may be enough. For an email reply test, use a work or test Gmail account that you are comfortable authorizing.

There is no need to start with your personal inbox. Use an account and content you have permission to connect.

Understand the connection before trusting the feed

Authorization and monitoring are different steps.

Review the permissions requested by the provider. Then, in Waveloom, check what the source is configured to monitor. A listening rule narrows the updates you are asking Waveloom to receive; do not assume it also narrows every permission granted during authorization.

Some sources need a page, project, channel or another selection before they can listen. Others may be available only for on-demand use. An account that is connected for chat is not necessarily sending background updates.

For this test, use a source with an active listening rule and a kind of event you can deliberately produce. The available options depend on the app and source.

Give it a small amount of explicit context

Do not expect a new connection to know your entire working history. Give Waveloom a clear priority through an explicit memory request, such as:

"Remember that I am working on the client handoff release. Updates that describe a customer unable to share finished work are relevant to that project."

That provides context for interpreting an update. It does not turn the sentence into an exact matching rule or guarantee a card.

Keep the first test focused. If the context, source and goal all change together, you will not know which change improved the result.

Compare meaningful activity with routine activity

Use ordinary, low-stakes examples. In a project you control, a meaningful update might describe a blocked customer task and why someone needs to decide what happens next. A routine update might correct a title without changing the work.

Match the activity to the listening rule. Editing a page will not test a source that only reports newly created pages. Avoid putting real customer secrets into sample content, and do not ask teammates to react to fake urgent messages.

Let the source deliver its update and allow time for processing. Waveloom reviews events in batches; a change in another app does not necessarily become an immediate card.

Then compare the feed with the original activity:

  • Did the relevant event arrive?
  • If a card appeared, did it explain the real reason the update mattered?
  • Did it invent context, exaggerate urgency or miss an important qualification?
  • Did routine activity create unnecessary work for you?

Keep a short note of what you expected and what you observed. Check the original app as well: the feed alone cannot tell you what it missed.

Distinguish quiet from incomplete coverage

No card can be a sensible result. It can also mean the source is not listening, the event has not arrived, configuration needs attention or review is delayed by a usage limit.

Check the source's status, listening rules and recent activity before deciding that silence means success. If the event arrived but no card appeared, that is feedback about relevance or processing,not a reason to reconnect every account and start over.

If the status remains unclear, bring the source type, approximate time and expected event to the beta feedback conversation. Do not share authorization tokens or private message contents just to explain the problem.

Test an action separately

A reading test does not need to send anything. Only test a reply once you have a suitable supported action and a recipient who is expecting the test.

Use the five-check draft review, edit the text, approve it and verify the result in the original app. Keep the reading and sending tests separate so you can tell which part needs work.

Add another source when you can explain why

Expand when the first source gives you evidence of useful coverage: relevant updates are understood, unnecessary cards are manageable, and you know how to recognize a source problem. A single successful sample is a starting point, not proof that every important update will be caught.

Choose the next source because it adds something specific to the job. More connections are not a goal by themselves.

For concrete starting points, see inbound sales triage and product feedback worth following up. Waveloom is in an invite-only founding beta; join the waitlist if you would like to evaluate it on your own work.