Core Pillars
Flightline is built on three strategic pillars designed to solve the most pressing challenges for engineering teams building with LLMs. We call these the “Series A CTO” trio: Chaos Simulation, Systematic Evaluation, and Active Guardrails.1. Chaos Simulation (The Offense)
Concept: “Chaos Monkey for AI” Engineering teams often test for the “happy path”: inputs that they expect the system to handle correctly. However, AI systems are most vulnerable at the edges, where noise, hostile inputs, or incomplete context can cause reasoning logic to fail. Flightline proactively “attacks” your model with these scenarios. We generate synthetic data that pushes boundaries and forces your AI to handle broken formatting, PII decoys, and conflicting instructions. By fuzzing your logic before deployment, you find vulnerabilities before your users do.2. Systematic Evaluation (The Ruler)
Concept: Qualitative “vibes” to quantitative scores The biggest blocker to shipping AI features is the lack of a reliable measurement tool. If you change a prompt or a model, how do you know if it’s actually better? Relying on manual “vibe checks” is slow, subjective, and doesn’t scale. Flightline turns these qualitative judgments into quantitative scores. While the AI output itself may be probabilistic, our measurement tools are deterministic. We use scientific grading rubrics and a two-tier intelligence layer to provide precise, repeatable assessments of system performance.3. Active Guardrails (The Defense)
Concept: Blocking the PR The only safety check that truly matters is the one that prevents a regression from reaching production. Testing is only effective if it’s integrated into the developer’s existing workflow. Flightline acts as a CI/CD gate. It captures real-time traces, evaluates them against your ship-readiness criteria, and provides a clear pass/fail verdict. If the quality score drops or a critical hallucination is detected, the merge is blocked. This provides a definitive safety net, allowing teams to iterate on prompts and models without fear of “million-dollar errors.”The Flightline Philosophy
At its core, Flightline is designed to automate the tedious work of testing. We aim to handle the grunt work of generating test data, mapping failure modes, and running regressions so that developers can focus on high-value architecture and product decisions.The 7 Ship-Blocking Questions
Learn about the framework we use to evaluate AI readiness.