Insights & Blogs · CortexCraft
Deep dives into web, mobile, and AI — plus real-world case studies from projects we've shipped for businesses of every scale.
8 min readAI & ML•Apr 24, 2026
How we shipped a web-intelligence tool that catches dead and malicious links across enterprise content.
No spam, no buzzwords. Just engineering breakdowns and project updates from our developers.
What changes when every screen you ship needs to survive a compliance audit.
The hiring, tooling, and governance decisions that let one client's Stockholm capability center start shipping in its first quarter.
How we built a machine-learning monitoring layer that catches anomalous transaction patterns in under 80ms — and reduced fraud losses by 41% for a fintech client over a single quarter.
Case Study•Apr 24, 2026
The discovery workshops and prototyping steps that catch the wrong build before it starts.
IoT•Apr 24, 2026
The queuing pattern that kept a fleet telemetry pipeline online through a 10x traffic spike.
Why we design for zero connectivity first, then add sync — not the other way around.
The blue-green rollout and health-check gates that made deploys boring again.
Notes from productionizing a 10K-events-per-second ingestion pipeline for a logistics fleet — what broke, what did not, and the queuing pattern that finally held.
Reconciling a CRM, a billing system, a support desk, and two spreadsheets into one record a rep can actually trust.
Why response rate mattered more than the score, and the follow-up cadence that turned detractors into referrals.
The shared context package that stopped customers from repeating themselves the moment a deal closed.
Case Study•Apr 24, 2026
The triage and routing rework that took first-response from 14 minutes to under 5 — without adding headcount.
AI & ML•Apr 24, 2026
The retrieval setup that keeps answers tied to what's actually in your docs, not what the model remembers.
Chunking, caching, and a smarter retriever — the three changes that mattered most.
The sampling strategy we use to catch regressions before they reach production.
Six months of experiments across three client models — and the one lever that consistently won.
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