22/02/2026
Why Free-Form AI Has No Place in Network Automation 🚫🤖
We built an AI agent that refuses to execute commands—and honestly, that’s its best feature.
Every week, there’s a new demo showing an AI logging into a switch to autonomously fix an outage. It looks impressive, but it's a nightmare for production. What the demos don't show are the hallucinations: an AI inventing a non-existent VLAN ID, misinterpreting a command, or executing a change that violates compliance.
Free-form AI isn't automation; it’s automating accidents.
So, what happens? Most organizations do the sensible thing and ban AI entirely, surrendering to manual 3 AM SSH sessions and engineer burnout.
At Ticvic, we took a third path: What if AI never touched the CLI at all?
We built our architecture on a simple philosophy: Deterministic First, AI Second. AI does what it’s good at (reasoning, pattern recognition), and deterministic, policy-bound systems handle the ex*****on.
Here is how our architecture keeps NetOps safe:
• Strict Intent Detection: We map natural language to predefined rules. If it doesn't match, it fails. No guessing.
• Mandatory Ex*****on Plans: A step-by-step deterministic plan is generated before anything runs.
• Ironclad Validation: Every action must pass strict business rules. Missing a subnet mask? Rejected.
• Deterministic Ex*****on: Python code executes predefined commands. The AI is locked out of the ex*****on layer.
• Fact-Based Summarization: AI only summarizes verified facts and structured JSON—never raw CLI.
The result? AI handles the reasoning, deterministic code handles the ex*****on, and the two never mix. This isn't anti-AI; it's pro-production.
Have you seen "free-form AI" demos that made you nervous, or has your team banned AI out of fear?
Let's discuss in the comments!
