Testing a Connected AI LinkedIn Workflow

A connected assistant can make a publishing workflow feel like one conversation. Evaluate what happens behind that conversation before relying on it for customer-facing work.

This guide supplies an acceptance test. It is not a claim that every FeedSquad or ChatGPT configuration has passed it.

Write down the intended action

Use an unambiguous request: “Prepare a draft for this account; do not publish it.” Confirm that the returned result is a draft and that the account is correct. The assistant's confident wording is not a substitute for the stored status.

Next, specify a schedule with a date and timezone. Ask to see the final text, media and destination together before approval.

Test a revision after approval

In a test environment, change a material fact after approving a draft. Check what happens to the approval. The workflow should follow your policy for changed content and make the state clear; it should not silently send a version the reviewer never saw.

Record the draft ID, approved version, scheduled time and expected behaviour. Those details make a failure reproducible.

Check failure recovery

Ask for a demonstration of an expired connection or rejected publish. Can the user see what failed, what remains queued and what to do next? Can they retry without accidentally sending the same post twice?

A successful tool call can mean that a job was accepted. It does not necessarily mean that the platform published the content. Verify the final post URL and status.

Keep the evaluation bounded

Use a test account for actions that would otherwise publish or delete real content. Start with one platform and one format. Expand only after the basic flow is reliable.

For the current connection instructions, use the ChatGPT integration page. For the buying decision, compare the complete marketing workflow.