15d • General Discussion 💬
The automation is not done when the happy path works 💻
One thing I keep seeing with AI automation:
The happy path gets built first.
But the workflow only becomes useful when the messy path is handled too.
Example: lead follow-up.
The easy version:
new lead -> generate message.
The real version needs to check:
- where the lead came from
- whether the account fits
- whether CRM has enough context
- whether the message is safe to send
- whether the lead is stale
- whether a human should review first
- what gets logged
- what happens if fields are missing
Same thing with invoices.
It is not just "read invoice."
It is check record, match amount, detect mismatch, prepare reconciliation notes, separate clean items from exceptions, and send the uncertain ones to review.
For me, the useful pattern is:
input -> context -> rule -> action -> limit -> approval -> exception -> log.
That is when automation starts feeling like something a business could trust.
Where do your automations usually need the most work: context, exception handling, approval gates, or logging?
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The automation is not done when the happy path works 💻
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