Blog
Stop Measuring AI by Tokens. Measure It by Outcomes.
How Liatrio and SpaceXSI turn Grok, Cursor, and Grok Bot into enterprise throughput — with Forward Deployed Engineers who build with your teams, not for them.
Evaluating AI Systems Like Engineers, Not After the Fact
AI evaluation usually starts after something breaks. This post argues for engineering it instead: name failure modes first, run cheap checks before expensive judgment, and build the habits Liatrio teaches inside its AI Evaluation Bootcamp.
Silence Isn't Safety: What We Learned From Vetting AI Skills
What two months of building a vetting pipeline for AI skills taught us.
Five Scanners, 5,000+ AI Skills: What We Learned About Skill Security
Liatrio tested five AI skill scanners against real malicious and benign corpora. Static tools never beat a simple keyword grep. LLM-backed scanners (Snyk, Cisco, SkillSpector) scored far higher, and requiring three of them to agree gave the cleanest high-confidence results.
Tokens to Outcomes: Why Our Partnership With SpaceXSI is Different
Turn AI adoption into measurable business impact. Discover why Liatrio's partnership with SpaceXSI goes beyond faster coding by embedding AI into workflows, metrics, and operating models that scale across the enterprise. Read how we connect tokens to outcomes, not just usage.
Code Gauntlet Rewrite to Claude Workflows
We built a benchmark, measured our AI code reviewer against the market, then let Fable rewrite it over a four-day autonomous session. The new version tops every tool we scored.
We Let Machines Build It, Then Made Humans Vouch For It
A single-line CVE fix that passed every automated test still needed a 45-minute CAB meeting to ship. That's the gap autogov closes: signed build evidence and policy-as-code that replace manual approval with a portable, cryptographic verdict a machine can trust.
Recruiting in the AI Era: Why We Are Automating the Paperwork, Not the People
We're done sitting through demos of "revolutionary" AI-sourcing platforms that can't spot real talent. Liatrio's recruiter still trusts humans to judge this, but built a Claude + MetaView + Lever automation to kill scorecard paperwork. Here's how.
AI Amplifies a Good Platform… but it Doesn't Fix a Bad One.
Enterprises making the most of AI right now have spent the last decade doing work that rarely makes headlines: cleaning up pipelines, building self-service infrastructure that's secure by default, establishing clear ownership over their systems and data.
The Agent Harness Is Part of Production
The PocketOS incident shows why AI agent safety cannot depend on prompt-based guardrails. When an agent harness has production access, teams need to understand, constrain, and verify it like any other part of their operational infrastructure.
We're Becoming an AI-First Company… Because We Already Were
Ten years in, and our purpose has never felt more urgent. Here's why Liatrio is formally declaring itself an AI-first enablement company — and why it took no reinvention at all.
