Guides

Five patterns every automation should follow

Tom Reyes

Illustration of reliable automation design patterns like retries and idempotency
Illustration of reliable automation design patterns like retries and idempotency

After watching several hundred teams build on Aigent, the workflows that hold up in production tend to share the same five habits. The ones that break at 2am usually skipped one of them.

Always give a step somewhere to fail to

Every Decide or Act step should have an explicit failure branch, even if that branch just notifies a human. A workflow with no failure path does not fail gracefully, it fails silently, and silent failures are the ones that cost you a customer before you know anything went wrong.

The second habit is treating idempotency as a design constraint from the first draft, not a fix applied after a duplicate-charge incident. If a step performs a side effect like charging a card or sending an email, give it a stable key derived from the run so a retry is a no-op.

Keep enrichment separate from decisions

The teams with the fewest production issues split fetching data from acting on it into two distinct steps, even when it is tempting to combine them. It makes every run easier to debug, because you can tell at a glance whether a bad outcome came from bad data or a bad decision.

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Aigent

The workflow automation platform for teams shipping AI agents to production, not just prototypes.

© 2026 Aigent. All rights reserved.

Aigent

The workflow automation platform for teams shipping AI agents to production, not just prototypes.

© 2026 Aigent. All rights reserved.

Aigent

The workflow automation platform for teams shipping AI agents to production, not just prototypes.

© 2026 Aigent. All rights reserved.

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