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What makes an AI workflow reliable
Reliable workflows are boring in the best way. They run on clear inputs, show their work, and ask for help when they should.
Leo Park
Automation earns trust slowly and loses it quickly. One wrong message to a customer can undo months of quiet, correct runs.
Clear inputs beat clever prompts
A workflow should start from a specific trigger and a known set of sources. When the inputs are predictable, the output is too.
Every step should leave a trace your team can read later. If a result looks off, anyone should be able to see which source it came from.
Add a checkpoint where it matters
Not every step needs review. Put approval on the steps that reach customers or change important data, and let the rest run on their own.
Thanks for reading. More notes on clearer work every few weeks.