Blog
Practical writing on conversational AI, agents, LLM integration and analytics, from a team that ships them.
How to measure the return on an AI project without fooling yourself: baselines, full costs, holdout attribution, leading indicators and inflated-ROI red flags.
Vision-language and audio models now read forms, photos, screenshots and calls directly. Where multimodal AI beats OCR-then-LLM, with examples, limits and cost.
The minimum MLOps a team needs to put a first model into production safely: versioning, reproducible training, a registry, serving, monitoring and rollback.
Llama, Mistral and Qwen can run inside your own walls, but should they? When on-prem LLMs pay off, how to size them, and when a hosted API is the smarter call.
How to build a churn model that changes behaviour: a clear definition, no leakage, calibrated scores, ranked lists with reasons and holdout-measured lift.
A practical guide to visual inspection with computer vision: lighting first, labelling, anomaly detection, edge latency, PLC integration and drift.
A free 30-minute consultation: we listen, ask hard questions and tell you honestly where AI will and won't help.
