When low-code hits its ceiling
Zapier and Make are excellent tools. We use them ourselves. But there's a clear line where low-code automation ends and AI-powered reasoning begins.
Does your workflow need to follow rules, or does it need to make judgment calls?
Where this option works
- +Fast to set up for simple automations
- +Affordable for basic workflows
- +Huge library of pre-built integrations
- +Non-technical teams can self-serve
Where it falls short
- –Can't make judgment calls or handle ambiguity
- –Break when data is messy or unstructured
- –No learning or improvement over time
- –Complex multi-step logic becomes brittle
Choose this when
If your automation is simple and rule-based... "when X happens, do Y"... Zapier or Make is probably the right choice. Seriously, don't overspend.
Choose SuperTrained when
When your workflow requires reading comprehension, judgment, or handling edge cases, that's where AI agents shine and Zapier stops.
The Situation
Building a comprehensive travel directory would require a team of writers, editors, and researchers. The content goes stale quickly.
The Result
We built SnowThere, an autonomous content pipeline where AI agents research, write, and review resort guides daily. A three-agent editorial panel votes on every piece. 116 resorts across 16 countries, zero editors.
See what we'd recommend for you
Describe your challenge. Get a personalized Automation Blueprint in 60 seconds.