n8n vs Antigravity
n8n vs Antigravity
Hot take correction ... I may have been wrong about n8n.
I’ve been pretty vocal about my skepticism of low-code orchestration tools like n8n. My main concern was always control: API flexibility, real logic, and whether you could build serious agentic workflows without fighting the platform.
So… I decided to test that belief.
I took one of my real projects and rebuilt it using Google’s Antigravity instead of n8n ... same objective, same constraints.
Result?
I was wrong about what this class of tooling can actually do now.
Using Antigravity, I was able to:
Hit the USAJobs API cleanly
Run structured job searches (Tampa Bay, Data Analyst / Power BI / SQL roles)
Score matches against my resume
Automatically generate and send custom job-match emails
Produce a refined, role-specific cover letter without manual glue code
Here’s an example of the email the agent generated and sent on a 76% match:
Subject: 🚀 USAJobs High Match: Program Analyst (76%)
Agency: Department of Homeland Security
Location: Tampa Bay
Followed by a tailored cover letter that actually reflects my background in
Power BI, SQL, automation, and data-driven decision making.
No brittle hacks.
No “workflow spaghetti.”
Just a clean agent loop: observe → score → act.
I still think n8n has limitations but I’ll own this:
agent-first platforms have crossed a threshold, and dismissing them outright is no longer a serious position.
Lesson learned:
Don’t argue tools in theory. Port a real project and let reality decide.
If you’re experimenting with agentic workflows, job search automation, or resume-aware scoring systems, I’m happy to compare notes.
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2 comments
Greg Wilson
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n8n vs Antigravity
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