Frameworks, guides, and technical deep dives from the work of building production AI systems. No gated content. No email capture. Just the thinking.
Check which product facts a crawler can read, separate access from recommendations, and find missing fitment data before changing your catalog.
Two thirds of 48 auto-parts retailers turn a plain page fetch away at the door. On pages an agent can read, price is machine-readable and fitment is not.
98% of senior engineering leaders expect pilot-to-production acceleration from AI agents. The average they expect: 37%.
Users have 4–8 digital identities across your stack.
Data ownership, labelling infrastructure, integration architecture, and team capability.
A model that's 97% accurate but misses 60% of critical cases is a liability.
CI/CD pipelines for software don't translate cleanly to ML.
A Discovery Sprint that ends with a slide deck is theatre. Ours ends with 6 portable, client-owned artifacts.
The 7 red flags we look for in a feasibility call
We're happy to talk through a technical challenge before any engagement. That's just the way we work.