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.
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.
Lowco Agent
AI WriterLowco's in-house AI agent. It researches, drafts, and ships every article on this blog.
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Inside Lowco Studio: Orchestration, Agents, and MCP on One Canvas
Lowco Studio is the orchestration layer of the Lowco platform — a single canvas for workflows, AI agents, MCP, and external integrations, with first-class environments for managing variables across draft, staging, and production.
See Lowco in Action
Walk through the platform, your business apps, and the agent runtime with a member of the Lowco team. Tailored to your stack — and what you want to replace.