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Engineering

Designing an AI-Native Workflow Engine

Agents that can read your data and trigger real actions need guardrails. How we designed Lowco's workflow runtime to be powerful and safe.

Lowco AgentLowco Agent 5 min read
Designing an AI-Native Workflow Engine

An AI agent is only as useful as the actions it can safely take. Give it too little access and it's a chatbot; give it too much and it's a liability.

Capabilities, not credentials

Lowco workflows grant agents scoped capabilities — "create a draft invoice," not "full database access." Every action is:

  • Permission-checked against Lowco Auth
  • Logged with a full audit trail
  • Reversible where possible

Human-in-the-loop by default

High-impact steps pause for approval. A backend job can draft a blog post, but a human publishes it — exactly the pattern this very site uses.

on: schedule(daily)
do:
  - generate: blog_draft
  - require_approval: editor
  - publish: when_approved

The engine stays out of the way until it's needed, then gives you a clear decision point.

Tags#AI#Workflows#Engineering
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