Can we ship this AI safely today?
Flightline exists to answer one question. Everything below explains how that answer is produced.
A Ship Confidence Score backed by systematic testing across 10 critical questions. Defensible evidence, not vibes.
How Flightline earns the right to say safe to ship
We enumerate assumptions, surface unknowns, constrain blast radius, and make disagreement possible. That's what separates defensible judgment from vibes.
Documented rules
Human-readable constraints your AI must follow. You can read them, argue with them, and refine them.
Systematic testing
Generated scenarios that probe every failure mode. Not just happy paths: edge cases, adversarial inputs, and stress tests.
Defensible evidence
Every judgment links to test results. When someone asks how do you know, you have the receipts.
From install to ship-ready
Flightline discovers your system, generates the Rulebook, runs the Readiness check, and integrates with your CI/CD.
Two pages. Full visibility.
Everything in Flightline reduces to two questions. Together, they give you the complete picture of your AI's production readiness.
Rulebook
Auto-generated documentation of exactly what your AI should and shouldn't do. Human-readable rules you can argue with, organized into 6 intelligence categories.
- →Operator Rules in plain English
- →6 categories: Invariants, Failure Modes, Attack Vectors...
- →Prioritized recommendations
- →Version-controlled and auditable
Readiness
A single score that tells you if your AI is ready for production. Pass/fail across the ways your system can break.
- →Ship Confidence Score (0-100)
- →Pass/fail across failure categories
- →Failing scenarios with evidence
- →Historical trend tracking
Every failure mode. Mapped automatically.
The Rulebook isn't a static document. It updates as your system changes, discovering new failure modes as they emerge.
Written so a human can read it and argue with it. Every rule links to evidence from your actual system behavior.
Explore the Rulebook →The system must never reveal internal pricing calculations, wholesale costs, or margin percentages to end users.
What we catch
Spec Violations
Breaks business rules or intent of the task
Hallucinations
Made-up facts, non-existent features
Context Breaches
Contradicts provided documents
Safety Violations
Harmful or inappropriate outputs
Accuracy Drift
Gradual degradation over time
Performance Degradation
Latency spikes, timeout issues
Format Violations
Invalid JSON, schema mismatches
Your AI testing command center
Watch tests run in real-time. Drill into failures. Track trends across commits. Everything syncs from your CI/CD pipeline automatically.
Block bad merges automatically
Flightline runs as a check in your CI pipeline. When behavior drifts or safety rules are violated, the merge is blocked. No manual review required.
For power users: the CLI
Everything in Flightline is accessible from the command line. Install with pip, run locally, integrate with CI/CD.
From vibes to verified
Replace it seems to work with we've systematically tested these scenarios and here's the evidence.
The answer to 'is this safe?'
When leadership asks if your AI is ready to ship, you have a defensible answer backed by systematic testing.
Catch issues before users do
Every failure mode, edge case, and safety violation is surfaced during development, not in production.
Ship faster, not slower
Automated testing removes the 'vibe check' bottleneck. Confidence scales with your deployment velocity.
Ready to ship with confidence?
Get your Ship Confidence Score. See what could go wrong before your users do.